Lightning AI

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. WHAT WE’RE LOOKING FOR We are looking for a Treasury Lead to own and scale key treasury accounting, reporting, and control processes as Lightning grows. You will play a critical role in supporting treasury-related activities across financing arrangements, capital investments, vendor obligations, cash management, hedging, and financial reporting. This role will partner closely with Finance, Accounting, Legal, Tax, Infrastructure Operations, Accounts Payable, and external auditors to ensure accurate reporting, strong controls, and scalable treasury processes. This is a high-impact role for someone who combines strong technical accounting knowledge with an operational mindset. You will help evaluate complex financing structures, support accounting conclusions, maintain documentation, and strengthen the control environment around treasury activities. The treasury scope is deep, leadership visibility is high, and the work directly supports capital allocation, infrastructure growth, audit readiness, and financial accuracy. This is a hybrid role based in San Francisco with in-office requirements of 2 days per week. WHAT YOU'LL DO Build and own the treasury function - Stand up Lightning AI's treasury operating model across the multi-entity group - Establish treasury policies, controls, signature authorities, and procedures from the ground up - Select and implement the treasury management system (TMS) and integrate it with NetSuite and the company's banking infrastructure - Develop the multi-year treasury roadmap, including process design, automation priorities, and FTE buildout Cash management and banking - Own daily cash positioning, short-term liquidity forecasting, and intercompany cash movement across the entities - Own the 13-week operational cash forecast on a weekly cadence, and partner with FP&A on the 12-month and long-range cash forecast — providing the cash-conversion layer that translates the operating plan into liquidity outcomes - Manage banking relationships, account structure, and bank fee analysis; rationalize the post-merger banking footprint - Oversee the payment operations partnership with Accounts Payable, including wire and ACH controls and fraud prevention Debt, vendor financing, and covenant compliance - Manage existing debt facilities, vendor financing, and equipment financing across the group, including draw and repayment schedules, interest, and fees - Lead negotiation and execution of new vendor financing arrangements with hardware OEMs in support of GPU and data center capex - Build and operate the covenant compliance reporting cadence, including financial covenants, reporting covenants, and lender notification requirements - Partner with Strategic Finance on debt structuring, refinancing, and new capital raises Risk management - Establish counterparty risk monitoring across banks, vendors, and lenders - Assess and execute FX hedging where exposures arise — currently limited, expanding as the business scales - Coordinate the insurance program with Legal and Operations Investment and capital structure - Manage corporate cash investment policy and execution within board-approved guidelines - Support capital structure analysis and optimization in partnership with Strategic Finance - Provide treasury input on operating model design and entity structure decisions Audit and cross-functional partnership - Partner with the Technical Accounting team on the accounting treatment of treasury transactions — debt, vendor financing, derivatives, embedded features — providing the operational facts and documentation that support their technical conclusions - Support the first-year audit on treasury-related areas, including cash confirmations, debt and financing schedules, covenant compliance documentation, and counterparty letters - Communicate treasury matters clearly to non-treasury stakeholders across Finance, Accounting, FP&A, Legal, Tax, Infrastructure Operations, and the executive team WHAT YOU'LL NEED - Bachelor's degree in Finance, Accounting, Business Administration, or a related field; CTP, CFA, or MBA strongly preferred - 8+ years of progressive treasury experience, with a mix of corporate treasury and ideally banking or capital markets exposure - Strong command of corporate cash management, banking operations, and short-term liquidity forecasting - Hands-on experience managing debt facilities and vendor or equipment financing arrangements, including covenant compliance - Experience selecting, implementing, or substantially upgrading a treasury management system - Track record of building treasury infrastructure — policies, controls, banking architecture, and reporting cadences — in a high-growth or post-merger environment - Comfort with capex-heavy, capital-intensive business models, and a working understanding of how vendor financing, equipment financing, and asset-backed structures operate in practice - Strong analytical skills with exceptional attention to detail, accuracy, and documentation quality - Excellent written and verbal communication, with the ability to brief executives and translate treasury for non-treasury audiences - Track record of cross-functional partnership with Accounting, FP&A, Legal, Tax, banks, lenders, and external advisors - Bias toward building rather than maintaining; comfort operating in a fast-paced, foundation-building environment Particularly strong candidates will bring: - Prior treasury experience at a high-growth AI, cloud, infrastructure, or other capex-intensive technology company - Direct experience negotiating vendor financing with hardware OEMs - Experience supporting a first-year audit or significant treasury remediation - Multi-entity treasury experience, including post-merger cash and banking integration - Working knowledge of derivatives and hedge accounting concepts at an operational level — technical accounting is handled by the Corporate Accounting team We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $180,000 - $220,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. What You’ll Do We are seeking an experienced Senior Technical Program Manager to lead complex, cross-functional programs that span compute, network, storage, observability, and datacenter operations. You will drive delivery of high impact initiatives, define clear milestones and dependencies, and partner closely with engineering, operations, and leadership to ensure predictable execution in a fast moving technical environment. What You’ll Do - Drive execution across multiple infrastructure programs, including network builds and upgrades, storage initiatives, datacenter builds and expansions, and hardware/platform rollouts - Own program planning, milestone definition, and dependency management across parallel workstreams - Partner with Infra Engineering, Network, DC Operations, Hardware, Security, and Platform teams to align scope, timelines, and delivery - Coordinate execution across initiatives such as: - Network expansions, upgrades, and large-scale migrations - Datacenter expansions and capacity growth - Hardware bring-up and infrastructure readiness - Next-generation platform rollouts (e.g. new GPU architectures), ensuring end-to-end readiness across infrastructure layers - Drive cross-functional alignment to ensure infrastructure is ready for deployment, bring-up, and customer usage - Manage risks, blockers, and dependencies across engineering and operations teams - Provide clear, concise program updates to leadership, highlighting progress, risks, and mitigation plans - Operate effectively in a fast-moving, ambiguous environment with shifting priorities - Contribute to improving execution frameworks, tooling, and program visibility across the infrastructure organization Who You Are - 8+ years of experience as a Technical Program Manager in infrastructure, cloud, or distributed systems environments - Strong experience driving execution across multiple technical workstreams (network, compute, storage, datacenter infrastructure) - Proven ability to coordinate complex, cross-functional programs without needing to be the deepest domain expert in every area - Experience operating across multiple infrastructure domains rather than a single area of specialization - Comfortable operating in ambiguous environments with evolving priorities and limited process - Strong communicator who can align engineering, operations, and leadership stakeholders - Skilled in program planning, dependency management, and risk mitigation - Able to manage multiple programs simultaneously while maintaining execution quality Ideal Experiences - Experience supporting infrastructure scale-out, hardware deployment, or capacity expansion programs - Familiarity with GPU/compute platforms, network infrastructure, storage systems, or datacenter operations - Experience coordinating infrastructure readiness for new hardware or platform rollouts - Background working in fast-paced or high-growth environments - Experience partnering across hardware, network, and platform/software teams We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $160,000 - $220,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We’re Looking For Multiple position openings. We’re looking for a Senior Software Engineer who will design and implement microservices-based architecture for Lightning AI's core platform services. Position allows for occasional telecommuting within commuting distance of reporting office in Redmond, WA. What You’ll Do - Build and maintain RESTful APIs and backend services for resource management; - Develop internal tools and automation for infrastructure provisioning; - Integrate with various cloud provider services (AWS, Azure, GCP); - Contribute to technical design decisions and architecture planning; - Review code and provide constructive feedback to team members; - Mentor junior software engineers and promote software engineering best practices; - Participate in technical planning and sprint planning sessions; - Design and implement monitoring, logging, and alerting solutions; - Troubleshoot production issues and implement fixes; - Develop disaster recovery and backup strategies; and - Optimize system performance and resource utilization. What You’ll Need - Position requires a Bachelor’s degree in Software or Computer Engineering, Computer Science or a closely related technical field (or foreign degree equivalent); and 5 years of relevant experience. Position also requires at least five (5) years of experience in each of the following: - Software engineering with a focus on backend/distributed systems; - Working with cloud platforms such as AWS, GCP, and/or Azure; - Working with container orchestration (Kubernetes) and microservices architecture; - Programming languages such as Go, Python, and/or Java; - Infrastructure-as-code such as Terraform and/or CloudFormation; and - Networking, security, and scalability concepts. Compensation We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $206,086 - $217,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We’re Looking for Lighting AI is looking for a Senior Operations Specialist to sit within our centralized Operations Team. The role of the Ops team at Lightning is to enable Lightning to operate with greater velocity, efficiency, connectivity, and context. There are three motions this role will take: - Classic operator: you will be asked to drop-in anywhere, understand a problem with both analytical rigor and empathy-driven intuition, and deliver high-impact solutions that unblock growth. - Project owner: you will build plans, leverage EQ to align cross-functional teams, and drive results with a relentless combination of context sharing, impact tracking, and proactive communication. - Solutions builder: you will code and build solutions from scratch, drive continuous iteration on those solutions based on real feedback signals, and ensure what you deliver is always future sustainable. And whether operating, owning, or building, you’re putting AI at the heart of everything – agents, workflows, connections, and automation give your work leverage, speed, and sustainability. Who You Are: You are someone who thrives on high-agency and a bit of context to get you going. You are known for your ability to work cross-functionally and build relationships. You are relentlessly determined to get to the root of problems and solve them in sustainable ways. You operate with rock-solid reliability. You’re also low-ego; nothing is beneath you – whatever serves the mission, you’re in. What You'll Do - Take end-to-end ownership of projects that unblock company growth. Any team within the Lighting AI organization could be an internal customer for your ability to understand how teams work, identify friction, build practical solutions, and drive adoption. - Embed and partner with teams across Lightning AI to understand their pain points and translate them into scalable AI-powered internal tools and products. - Partner with other embedded operators within the company to augment their projects (e.g. PeopleOps, SalesOps, LegalOps) and build connective tissue back to the central Ops team. - Assist the central Ops team with initiatives / programs that we own and operate (Business Health, Internal Communications, Company Event Planning). - Own Internal Ops documentation to ensure the company has context as to what we do, what we’re working on, and how teams can best engage our support. - We’re still in the very early stages of our company's growth and not a week will go by where you won’t be solving ambiguous, time-sensitive problems (aka fires!) – but, you’ll also be turning these fires into opportunities to build durable systems so they don’t come back again. - Finally, you’ll take a data-driven approach to measuring the impact of what you ship and continuously iterate on what you own. Required Qualifications - 4+ years of experience in operations or consulting (or any high-agency, high-ownership experience that gave you a meaningful combination of both). - Demonstrated end-to-end project ownership – from problem diagnosis and stakeholder alignment through build, launch, and adoption – with clear, self-reported metrics on impact delivered. - Track record of diagnosing problems and driving change across multiple stakeholder groups (not just making recommendations). - Demonstrated ability to build and deploy AI agents or multi-step automations end-to-end (not just configure a tool someone else architected). You can identify a manual workflow, map the steps, connect the right systems, build or prototype the automation, test it with users, and iterate. - Meaningful experience with third-party APIs and SaaS platforms, workflow automation tools (Zapier, Make, n8n, Airflow), and AI coding tools (Claude, Cursor, etc.). - Strong analytical thinking -- you can go from raw data to insight to action. - Prior experience in a high-growth startup environment. Nice to Haves - Proficiency in SQL and/or Python for data extraction, analysis, and light scripting – you can get from a raw dataset to a clear, actionable insight without needing an analyst in the loop. - Familiarity with the modern data stack (BigQuery, Looker, dbt, Fivetran, or similar) - Experience in a product-led or developer-tool company - Prior experience in a centralized Ops or Center of Excellence model (not just embedded ops roles) We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $140,000 - $160,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We’re Looking For Lightning AI is seeking a Senior Network Engineer with hands-on Cumulus Linux expertise to build and scale the network backbone behind our AI infrastructure platform. You’ll play a critical role in designing highly reliable, automated data center networks that support some of the most demanding AI workloads in the world. This role is hybrid out of our San Francisco, Seattle, or NYC offices, fully remote within the U.S. All employees participate in occasional team and company offsites. What You'll Do - Design and deploy scalable spine/leaf network architectures for AI data centers - Engineer high-performance Ethernet fabrics supporting GPU clusters and AI workloads - Build and maintain EVPN/VXLAN, BGP, and high-speed routing environments - Optimize east-west traffic flows for AI training and inference operations - Support RoCE/RDMA networking and low-latency transport technologies - Support backbone, DCI, WAN, and edge connectivity solutions. - Collaborate with compute, storage, AI platform, and operations teams to deliver integrated infrastructure solutions - Develop automation and Infrastructure-as-Code (IaC) solutions for network provisioning and operations - Troubleshoot complex network, performance, and congestion issues across distributed environments - Improve network observability, telemetry, and operational visibility - You have hands-on experience working with SONiC and Junos. - Experience with cloud networking technologies including VPC’s, NFV, Direct Connect, Cloud Connect - You enjoy working with a small group of friendly, highly motivated, high-execution colleagues - You’re comfortable with a high degree of autonomy, can independently prioritize your work and understand how it maps to the overall needs and goals of the company - You’re knowledgeable in your domain but also enjoy wearing multiple hats and venturing outside of your comfort zone when the need arises - You value the ability to write well and understand the importance of good documentation What You’ll Need Required Qualifications - Experience with Cumulus NOS - 5+ years of experience in large-scale data center networking - Experience in spine-leaf architectures and L3 fabrics - Experience with BGP, EVPN, VXLAN - Experience operating high-performance computing (HPC) or GPU-dense environments - Experience designing networks for hyperscalers, neoclouds, or high-scale SaaS infrastructure - Experience in automation with (Python, Ansible, Terraform, or similar) - Experience with network observability tooling and telemetry pipelines Proven ability to design systems that scale to thousands of nodes - Strong documentation and communication skills Ideal Experience - Familiarity with NVIDIA networking (Spectrum, Quantum, BlueField, etc.) - Familiarity with RDMA, RoCE, or InfiniBand fabrics - Experience with multi-region backbone design - Exposure to bare-metal provisioning systems - Experience working in high-growth infrastructure startups Compensation We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $180,000 - $225,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We’re Looking For We are looking for a Senior Finance Associate to drive priorities across strategic finance, corporate development, and FP&A as Lightning AI scales. You will partner with cross-functional stakeholders to shape unit economics, advise on deal pricing, and guide investment decisions. You will support GPU financing, fundraising, and investor relations to help Lightning AI acquire and allocate capital effectively. You will also build an operating cadence for P&L management, reporting, forecasting, and planning, turning data into decision-ready insights for leadership. The finance scope is deep, leadership visibility is high, and the work directly influences revenue growth, margin expansion, and capital allocation. If you want meaningful ownership, steep learning, and proximity to the decisions that shape an AI cloud, this role is for you. This is a hybrid role based in our San Francisco with an in-office requirement of 2 days per week. What You’ll Do - Support deal reviews with Sales and leadership and recommend pricing decisions - Partner with Marketing on spend allocation, pipeline efficiency, and unit economics analyses (LTV/CAC, payback period) - Partner with Product on ROI for software investments and strategic initiatives - Partner with Infrastructure Operations on capacity planning and CapEx assessment - Model GPU financing structures and assess returns - Support lender and investor communications, materials, and data rooms - Monitor industry trends and the competitive landscape to identify potential business risks and opportunities - Contribute to M&A sourcing and diligence models - Build and maintain a driver based model for P&L, balance sheet, and cash flow statement - Prepare executive-level business reviews for leadership and board - Lead monthly and quarterly reporting, ensuring accuracy and highlighting key business drivers - Develop forecast cycles and strengthen forecast accuracy by partnering closely with cross-functional stakeholders - Support annual planning and long-range planning - Conduct rigorous analysis of key performance indicators, operational metrics, and business trends - Manage FP&A systems and tooling and maintain data accuracy What You’ll Need - Bachelor's degree in Business Administration, Finance, Economics, or a related field - 4+ years in Strategic Finance, FP&A, investment banking, private equity, or venture capital, ideally with a focus on software, AI, and/or cloud infrastructure - Advanced proficiency in Excel and Google Sheets and experience building complex financial models - Excellent written and verbal communication - Track record of cross-functional partnership - Analytical and strong problem-solving ability - Team player with a growth mindset, positive attitude, and strong work ethic - Bias to action and desire to work in a startup environment - Experience with capital markets, M&A, or CapEx financing - Exposure to cloud or AI infrastructure economics and data center capacity planning - Familiarity with FP&A systems and data tooling (e.g., NetSuite) We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $135,000 - $165,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For Lightning AI runs one of the largest AI-native clouds, with 25,000+ H100, B200, and GB300 GPUs powering organizations building, training, and deploying AI at scale. To deliver that experience, our Managed Services team builds the systems that make complex GPU infrastructure simple, reliable, and easy for customers to use without managing the underlying infrastructure themselves. As a Senior Backend Engineer on the Managed Services team, you'll build the control planes, backend services, and automation that provision, operate, and scale Kubernetes and Slurm clusters across our GPU fleet. Your work will turn raw GPU capacity into production-ready environments where customers can seamlessly train models, run inference, and deploy AI workloads. This isn't a traditional SaaS backend role. You'll solve challenging distributed systems and cloud infrastructure problems, building the automation and platform capabilities that keep large-scale Kubernetes and Slurm environments scalable, observable, and resilient. This role is based in one of our U.S. office hubs (San Francisco, NYC, or Seattle, with SF and NYC preferred), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time. What You’ll Do - Design, build, and operate backend services in Go or Python that power Lightning AI's managed infrastructure platform. - Develop control plane services that provision, orchestrate, and manage Kubernetes and Slurm clusters across large-scale GPU infrastructure. - Build distributed systems that automate cluster lifecycle management, workload scheduling, infrastructure provisioning, and platform operations.. - Develop platform capabilities using Kubernetes APIs, controllers, operators, and other cloud-native technologies. - Improve the reliability, scalability, security, and observability of our managed platform through automation and operational excellence. - Diagnose and resolve complex production issues across Kubernetes, distributed systems, networking, and cloud infrastructure. - Collaborate with infrastructure, AI, and platform engineering teams to shape the future of our cloud platform. - Contribute to technical design, architecture, mentoring, engineering best practices, and on-call operations. What You’ll Need Required Qualifications - Significant professional experience designing, building, and operating production backend systems using Go or Python. - Deep hands-on experience with Kubernetes or Slurm, including operating large-scale production environments. - Strong understanding of distributed systems, cloud-native architectures, and production infrastructure. - Experience designing and building scalable backend services, APIs, and automation for infrastructure or platform operations. - Strong understanding of networking, storage, and cloud infrastructure fundamentals. - Familiarity with observability, CI/CD, testing, production operations, and incident response. - Ability to own complex technical projects while collaborating effectively across engineering teams. Ideal Experience Experience with one or more of the following: - Kubernetes platform development, including operators, controllers, CRDs, or control plane components - Slurm administration, scheduling, or HPC environments - Infrastructure-as-Code or GitOps tooling such as Terraform, Crossplane, Helm, Argo CD, Flux, or Kustomize - GPU infrastructure, AI platforms, or large-scale compute environments - Kubernetes networking, storage, or multi-tenant platform architecture - Event-driven systems, gRPC, or distributed messaging - Building CI/CD systems for production environments - Contributions to cloud-native or open source infrastructure projects Compensation We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $180,000 - $250,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For We are looking for a Senior Accountant, General Ledger to support the general ledger close across our legal entities, including the balance sheet, the reconciliations behind it, and the reporting package that comes out of it, and to help rebuild how that close runs. This is the record-to-report seat. Our Accounting Manager, Revenue Operations owns revenue and AR; our Senior Accountant, Accounts Payable & Procure-to-Pay owns the payables cycle. You will support the rest of the balance sheet such as cash reconciliation, intercompany, payroll accrual, prepaids, fixed assets, leases, and the monthly financial statements and flux analysis that tie it all together. The transformation half of the title is not decoration. You will close the books each month and help redesign the process you just ran, migrating it into NetSuite, replacing manual workarounds with controls, and documenting it so it no longer depends on any one person. You will be joining the Finance Team and report to the Director of Corporate Accounting. This is a hybrid role based in our San Francisco office with in-office requirements of 2 days per week. What You'll Do - Support the general ledger close. Prepare journal entries, reconciliations, and supporting schedules for the balance sheet across entities on a predictable, auditable cadence against a defined close calendar. - Reconcile cash and treasury. Prepare bank reconciliations across multiple operating, money market, and card-settlement accounts, including third-party payment platforms where the bank feed and the subledger don't map one to one, and clear reconciling items. - Reconcile intercompany. Prepare monthly intercompany receivable and payable reconciliations between entities, investigate out-of-balance positions, and support the settlement cadence that keeps them from recurring. - Support payroll and benefits accounting. Prepare payroll journal entries, accrued compensation, bonus and PTO schedules, including the GL mapping between the payroll platform and the ledger. - Maintain prepaids, fixed assets, and leases. Maintain prepaid schedules and amortization; maintain the fixed asset register including in-service timing, capitalization thresholds, and depreciation for large-scale compute hardware; maintain lease schedules and ASC 842 accounting for data center and facility leases. - Support the reporting package. Prepare monthly financial statements and balance sheet and income statement flux analysis with written commentary - Help build the function. Support the NetSuite implementation, document the close process, write desktop procedures, and help establish the reconciliation and review controls that a company at our stage needs and doesn't yet have. What You'll Need - 4+ years of progressive accounting experience, including hands-on monthly close work; a mix of public accounting and high-growth industry experience is ideal. - Demonstrated command of the balance sheet close: cash, intercompany, prepaids, fixed assets, and payroll accounting. - Experience supporting an external audit as a preparer, including building workpapers that stand on their own. - Excellent written communication; you can explain a variance in a sentence and document a conclusion in a memo. - Advanced Excel; comfort working with large transaction datasets. Preferred - Active CPA (or CPA candidate), or a strong public-accounting foundation. - Working knowledge of ASC 842. - Exposure to ASC 805 purchase accounting or multi-entity consolidation. - ERP experience, particularly NetSuite implementation or migration; comfort working in QuickBooks during transition. We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $100,000 - $150,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. Join our Talent Community! We’re always looking to connect with exceptional talent. If what we’re building resonates with you, we’d love to learn more about your background and what you’re looking to do next. If you’d like to be considered for future opportunities with us, please submit your information below. This is an expression of interest, so while we may not be in touch immediately, your information will be kept on file and reviewed as new roles open up. In the meantime, we encourage you to follow us on LinkedIn and check our careers page for updates. We are hiring across our U.S. and London hubs, and occasionally have remote opportunities as well. If you see a role that aligns with your experience, we recommend applying directly to that posting so our team can review your application as soon as possible. Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For We’re looking for a Network Security Engineer to design, implement, and maintain secure network infrastructure across Lightning AI’s platform. In this role, you’ll take ownership of security systems and controls, working closely with infrastructure and engineering teams to ensure the reliability and protection of our production environment, including safeguarding our AI infrastructure against evolving threats. This role can be based out of one of our office hubs (San Francisco or Seattle), with in-office requirements of at least 2 days per week and occasional team and company offsites. We are not able to offer visa sponsorship for this position at this time. What You'll Do - Network Security Design & Implementation : Architect robust network infrastructures, leveraging firewalls, VPNs, IDS/IPS, and network segmentation to enhance security. - Threat Prevention & Risk Mitigation : Conduct comprehensive vulnerability assessments and penetration tests, ensuring robust security policies and access controls. - Monitoring & Incident Response : Utilize SIEM tools for proactive threat detection and collaborate with SOC teams for incident response and breach investigation. - Compliance & Security Governance : Ensure compliance with industry standards and regulatory requirements, maintaining thorough security documentation. - Security Automation & Optimization : Implement and optimize automation tools for threat detection and response, while staying abreast of emerging security technologies. What You'll Need - Technical Expertise in firewalls (e.g., Palo Alto, Cisco ASA, Fortinet), IDS/IPS, VPNs, SD-WAN, cloud security, and encryption. - Proficiency with Security Tools : Experience with SIEM (e.g., Splunk, QRadar), vulnerability scanners (e.g., Nessus, Qualys), and endpoint security solutions. - Relevant Certifications, such as CCNP Security, CEH, CISSP, and GIAC Certifications (GSEC, GCIH, GPEN). - A Passion for Security : A proactive approach to learning about new security technologies and threats Compensation We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $180,000 - $220,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For We are looking for a Head of Global Growth Marketing to build and scale our growth engine by connecting our portfolio and customer value to market opportunity and converting to pipeline. You will lead demand strategy and campaign execution across digital, paid media, webinars, email, web, and emerging channels. This is a new role and function in the company and ideal for builders with vision. This is a marketing leadership role reporting to the CMO. You will define the operating model for how Lightning designs, tests, executes, and measures demand programs with the ability to grow and develop a high performing team. While San Francisco or New York is preferred, we are open to remote US based employees. What You’ll Do - Own the marketing growth strategy aligned to our business goals, go-to-market strategy, and solution readiness. Architect and scale the global demand generation engine, defining the long-term multi-channel strategy, go-to-market orchestration, and executive operating rhythm across customer segments, personas, and verticals. - Lead and drive digital demand campaigns across all channels including: webinars, email, web, nurture, and new/emerging formats for experimentation. - Build and scale ABM programs across priority accounts and segments, coordinating paid media with sales outreach, field marketing, executive engagement, events, and lifecycle programs. - Partner with MarketingOps, SalesOps, and RevOps to define and continuously optimize a trusted approach to account targeting, account and lead scoring, pipeline performance, and reporting. Leverage insights to drive experimentation and improve effectiveness at optimal efficiency. - Partner with Product Marketing and Management to define campaign strategy and design, offers, and audiences to drive demand and pipeline. Drive successful execution through all digital channels and in collaboration with Field Marketing & Events. - Build and optimize the Product Led Growth Funnel with targeted campaigns and experiments designed to increase new user signups, purchases, and product usage. - Establish experimentation and AI-native automation as core operating principles and develop testing frameworks across acquisition channels, landing pages, messaging, offers, website experiences, and conversion paths. - Hire, coach, and scale a high-performing, creative team across all digital channels, PLG, and ABM, fostering a culture of experimentation, ownership, and continuous learning. What You’ll Need - 15+ years experience and strong track record of building and scaling B2B demand generation, digital marketing, or growth marketing in high growth technology companies - Deep understanding of complex B2B buying journeys, buying committees, complex sales cycles, account segmentation, ABM, and sales-assisted conversion. - Experience working with product-led/self-service growth motions for developer and end user communities. - A testing mindset and the operating discipline to turn learnings into repeatable programs, systems, and investment decisions. - Analytical & Financial Acumen with deep proficiency in attribution, pipeline modeling, and managing budgets and vendors. - Strong business acumen and executive presence. Earns trust and builds credibility with strong communication skills and cross-functional leadership. Can hold a strong point of view and be comfortable making hard calls. - Hands-on leader who is comfortable building from scratch with experience operating at scale. You know what good looks like and can build from 0 to N. We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $260,000 - $270,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For We are looking for a Head of Global Events and Field Marketing to build and scale a portfolio of events that maximize our reach with key AI Cloud buyers and end user audiences across verticals and segments to drive engagement and pipeline. You will drive strategy, define operating rhythms, and build a team that executes high-impact programs. This is a new role and function in the company and ideal for visionary leaders who are hands-on builders. This is a marketing leadership role reporting to the CMO. What You’ll Do - Own the marketing events strategy aligned to our business goals, go-to-market strategy, and integrated campaigns. Identify the portfolio of conferences, 1P events, and field tactics that reach AI buyers and end users most effectively, define strategy and creative end to end execution plans. - Lead collaboration with Field leadership to identify and prioritize the markets, accounts, and formats that will have the greatest impact on pipeline and revenue. - Partner with Product Marketing and Growth Marketing leaders to align events to key themes and moments for integrated multi-channel execution and to increase impact of key company initiatives. - Build and scale ABM motions with Field and Growth Marketing to priority accounts, segments, and audiences across the sales cycle from pipeline creation, deal acceleration, to expansion. - Build scalable processes, templates and playbooks. Create and maintain standardized documentation that enables the entire team to operate consistently and efficiently. - Establish experimentation and AI-native automation as core operating principles and develop testing frameworks across different event types and activations. - Hire, coach, and scale a team of event and field marketers in fostering a culture of creativity, ownership, and continuous learning. What You’ll Need - 12+ years experience and strong track record of building and scaling events and field marketing in high growth technology companies - Deep understanding of complex B2B buying journeys, technical buying committees, complex sales cycles, account segmentation, ABM, and sales-assisted conversion. - Sales-aligned operator with strong track record of partnering directly with executive sales leadership to shape GEO go-to-market plans and strategic alignment of resources to priorities. - A testing mindset and the operating discipline to turn learnings into repeatable programs, systems, and investment decisions. - Analytical & Financial Acumen with deep proficiency in attribution, pipeline modeling, and managing budgets and vendors. - Strong business acumen and executive presence. Earns trust and builds credibility with strong communication skills and cross-functional leadership. Can hold a strong point of view and be comfortable making hard calls. - Hands-on leader who is comfortable building from scratch with experience operating at scale. You know what good looks like and can build from 0 to N. - Willingness to travel across the region as programs require. We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $260,000 - $270,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. WHAT WE’RE LOOKING FOR We are looking for a Global Tax Lead to own and scale Lightning’s corporate tax compliance function as the company grows. You will be responsible for managing income tax compliance, tax accounting support, forecasting, risk mitigation, and tax process improvements across the business. This role will partner closely with Finance, Accounting, FP&A, Legal, and external advisors to ensure accurate filings, strong controls, and scalable tax operations. This is a high-impact role for someone who combines deep technical tax expertise with an operational mindset. You will help build the systems, processes, documentation, and controls needed to support a fast-growing AI infrastructure company operating in a complex and evolving tax environment. The tax scope is broad, leadership visibility is high, and the work directly supports financial accuracy, compliance, risk management, and long-term business scalability. This is a hybrid role based in San Francisco with in-office requirements of 2 days per week. WHAT YOU'LL DO Build and own the tax function - Stand up Lightning AI's corporate tax function across the multi-entity consolidated group - Establish tax policies, documentation, controls, and procedures from the ground up to support internal governance and audit readiness - Develop the multi-year tax operating roadmap, including process design, automation priorities, and the consultant-to-FTE transition plan Compliance across federal, state, and local - Lead U.S. federal and state corporate income tax compliance, including the first consolidated federal return - Manage California mandatory combined reporting and multi-state nexus exposure across the group, including separate-filing and addback jurisdictions - Oversee indirect tax compliance — sales and use, gross receipts — given the company's multi-jurisdictional data center and customer footprint - Oversee property tax compliance across the company's data center and equipment footprint, including assessment review, return preparation, appeals, and exemption or abatement opportunities tied to GPU and infrastructure investments Tax accounting and audit support - Own quarterly and annual income tax provision work under U.S. GAAP and ASC 740, including effective tax rate analyses, deferred tax positions, and uncertain tax position documentation - Partner with the external auditors and the Corporate Accounting team to deliver tax workstreams supporting the first-year audit - Build tax forecasts and reporting cadences that support Finance, FP&A, and leadership decision-making M&A and strategic transactions - Support technical accounting workstreams for recent acquisitions, including ASC 805 purchase accounting tax implications, opening balance sheet tax positions, and carryforward analysis - Lead the tax workstream on future M&A, financing, and restructuring transactions - Partner with Strategic Finance and Corporate Development on Deal Desk diligence and structuring Cross-functional partnership and risk management - Identify, assess, and mitigate corporate tax risks, and monitor evolving tax laws and reporting requirements, including the changing landscape for AI infrastructure businesses - Manage relationships with external tax advisors, auditors, and other third-party partners - Communicate complex tax matters clearly to non-tax stakeholders across Finance, Accounting, FP&A, Legal, and Engineering WHAT YOU'LL NEED - Bachelor's degree in Accounting, Finance, or a related field; CPA or MST strongly preferred - 8+ years of progressive corporate tax experience, with a mix of Big 4 public accounting and in-house experience - Strong technical command of U.S. federal and state corporate income tax compliance, including consolidated return rules - Working knowledge of California combined reporting and multi-state apportionment, including separate-filing state exposure and addback rules - Demonstrated experience with ASC 740, tax provisions, deferred tax accounting, and effective tax rate analysis - Hands-on experience with M&A tax — purchase accounting, opening balance sheet, carryforward analysis, and post-merger integration - Experience standing up or significantly rebuilding a tax function; start-up, post-merger integration, or carve-out experience strongly preferred - Comfort with the technical accounting demands of an infrastructure or cloud business — capex-heavy fixed assets, complex revenue arrangements, and leases under ASC 842 - Track record of partnering effectively with Accounting, Finance, Legal, FP&A, auditors, and external advisors - Experience with tax provision and compliance tools such as OneSource, Corptax, or similar - Excellent written and verbal communication, with the ability to brief executives and translate tax for non-tax audiences - Bias toward building rather than maintaining; comfort operating in a fast-paced, foundation-building environment with evolving priorities Particularly strong candidates will bring: - Prior experience at a high-growth AI, cloud, infrastructure, or other capex-intensive technology company - Exposure to GPU financing, vendor financing, or other complex capital structures - Experience supporting a first-year audit or significant compliance remediation - Multi-state intercompany pricing experience across a multi-entity U.S. group - Property tax experience in a capex-heavy environment, including data center, GPU, or equipment-intensive footprints We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $185,000 - $200,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For We’re looking for a Frontend Engineer to help develop and scale the UI and frontend infrastructure of the Lightning AI platform. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. With over 10,000 organizations building with Lightning, you’ll have a unique opportunity to impact how the world builds and deploys AI to production. This role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time. What You’ll Do - Write readable/testable/efficient code in React and Redux, and build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance. - Partner with engineering and product leaders on developing the user interface and frontend infrastructure while using your experience to set the technical direction for large projects. - Evaluate, strengthen, and document technical architecture, tools, and processes. - Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt. - Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment in which each engineer can grow. What You’ll Need - Proficiency in React, JavaScript and TypeScript. - Strong understanding of software engineering principles and lifecycle. - Hands-on experience as a Frontend Engineer in a SaaS technology company. - Proven ability to take ownership of key features and drive end-to-end development. - Communication and collaboration with engineers, product managers, and designers. - Ability to operate in high uncertainty and rapidly changing environments. Compensation We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $120,000 - $250,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For We are looking for a Finance Analyst to support priorities across strategic finance, corporate development, and FP&A as Lightning AI scales. You will work alongside cross-functional stakeholders to analyze unit economics, inform deal pricing, and evaluate investment decisions. You will contribute to GPU financing, fundraising, and investor relations work streams to help Lightning AI acquire and allocate capital effectively. You will also help maintain the operating cadence for P&L management, reporting, forecasting, and planning, turning data into decision-ready insights for leadership. The finance scope is deep, leadership visibility is high, and the work directly informs revenue growth, margin expansion, and capital allocation. This role is designed as a launchpad: strong analysts here grow into Senior Finance Associate and take on deal leadership and full model ownership. If you want meaningful exposure, steep learning, and proximity to the decisions that shape an AI cloud, this role is for you. This is a hybrid role based in San Francisco with an in-office requirement of 2 days per week. What You'll Do - Prepare analyses for deal reviews with Sales and leadership to inform pricing decisions - Support Marketing on spend allocation, pipeline efficiency, and unit economics analyses (LTV/CAC, payback period) - Build ROI analyses for software investments and strategic initiatives in partnership with Product - Assist Infrastructure Operations with capacity planning inputs and CapEx assessment - Help model GPU financing structures and assess returns - Prepare materials for lender and investor communications and help maintain data rooms - Track industry trends and the competitive landscape, surfacing potential risks and opportunities - Support M&A diligence models and research - Help build and maintain a driver-based model for P&L, balance sheet, and cash flow statement - Assemble executive-level business review materials for leadership and board - Support monthly and quarterly reporting, ensuring accuracy and flagging key business drivers - Contribute to forecast cycles and help improve forecast accuracy through partnership with cross-functional stakeholders - Support annual planning and long-range planning - Conduct analysis of key performance indicators, operational metrics, and business trends - Maintain FP&A systems and tooling and ensure data accuracy What You'll Need - Bachelor's degree in Business Administration, Finance, Economics, or a related field - 2+ years in investment banking, private equity, venture capital, or a comparable analytical role - Strong proficiency in Excel and Google Sheets, with experience building financial models - Excellent written and verbal communication - Ability to work effectively with partners outside of finance - Analytical and strong problem-solving ability - Team player with a growth mindset, positive attitude, and strong work ethic - Bias to action and desire to work in a startup environment Nice to Have - Experience in software, AI, and/or cloud infrastructure - Exposure to capital markets, M&A, or CapEx financing - Familiarity with cloud or AI infrastructure economics and data center capacity planning - Familiarity with FP&A systems and data tooling (e.g., NetSuite) We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $100,000 - $130,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For Lightning AI is looking for Data Center Technicians to join our DC Ops team in our Puyallup, WA HPC Data Center. In this role, you'll be monitoring some of the world’s most advanced equipment and systems as you support day-to-day hardware, power, and network operations. This is a full-time role, on-site in Puyallup, Washington. We are not able to provide sponsorship for this position. What You'll Do - Help maintain hardware in the data center, including tasks such as configuration, maintenance, monitoring, and troubleshooting assistance - Help diagnose and resolve system/compute/network issues to restore functionality - Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured - Troubleshoot server hardware and software issues - Become a subject matter expert on all the physical technical aspects of the data center build, from power deployment to containment solution to cabling infrastructure - Proactively monitor onsite hardware to get ahead of any failures - Work closely with HW Support team to ensure data center infrastructure-related support tickets are resolved - Work with RMA team to ensure faulty parts are returned and replacements are ordered - Create installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers What You Will Need Required Qualifications - 2+ years of experience in data centers and technically proficient about critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management - Strong Linux administration experience - Experience setting up networking appliances (Ethernet and InfiniBand) - Attention to detail: precision in debugging work (such as cabling, patching, or configuring equipment), documenting fixes and changes - Resourceful Problem-solver: doesn’t need to be explicitly told to solve an issue, can figure out solutions under constraints - Ability to work in an environment that operates 24/7 with an ability to participate in on-call rotation and provide after-hours support as needed - Must be able to prioritize tasks and react quickly to issues - Strong analytical and communication skills: collaborate closely with our network engineers, SREs, on-site remote hands, and operations team to resolve issues and ensure smooth deployments Ideal Experience - Experience in HPC environments - Experience working with Dell or Nvidia equipment Compensation We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $80,000 - $90,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For We’re hiring a Data Center Site Operations Manager to lead operations at our Allen & Fort Worth facilities. You’ll oversee the tenant fit-out of our space, stand up our operational environment, and build a high-performance team responsible for day-to-day data center operations. This is a hands-on leadership role, where you’ll both guide a team and roll up your sleeves to ensure a smooth deployment and sustained operational excellence. You will play a key role in bringing online a 10MW build, housing 4,000 GPUs at launch and expanding to 10,000 GPUs as the site grows. We are not able to provide sponsorship for this position. This is an on-site role in Allen, Texas & Fort Worth, Texas. Travel to our other data center sites across the US will be required. What You Will Do Launch and Operate the Chicago Facility - Oversee the setup of data center systems specific to our deployment within an existing colocation facility - Coordinate equipment installation, including rack and roll delivery, cabling, network installation, and power-up procedures - Manage vendor relationships, scheduling, and performance to ensure successful deployment - Track and manage all inventory and incoming hardware Onsite Operational Leadership - Lead a team of data center technicians handling maintenance, break fix, diagnostics, and routine inspections - Develop and implement procedures for uptime, preventive maintenance, and incident response - Act as the primary on-site point of contact for operational issues and escalation Cross-Functional and Team Collaboration - Partner with NetOps, Engineering, and Supply Chain teams to support deployments and ongoing operations - Participate in hiring, training, and mentoring on-site technicians - Travel to other Voltage Park data centers to learn processes and align operational standards Qualifications Required: - 4+ years of experience in data center operations - 2+ years of direct people management experience - Strong understanding of data center infrastructure (racking, cabling, cooling basics, power distribution, network hardware installations) - Ability to lead technicians through break/fix, installation, troubleshooting, and maintenance workflows - Troubleshooting skills and ability to respond quickly to operational issues - Strong vendor management experience (scheduling, accountability, performance tracking) - Detail-oriented, organized, and thrives working in fast-moving environments - Ability to manage a team responsible for supporting a 24/7 data center environment - Ability to meet physical requirements, including lifting up to 50 lbs Preferred Qualifications - Experience with data center tenant fit-outs - Experience in high-density or hyperscale environments - Relevant certifications such as CompTIA, Cisco, Juniper, or similar We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $120,000 - $145,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For At a company scaling this fast, compensation is a modeling problem before it's an HR problem, and we're looking for someone who treats it that way. This is a build role. You'll own compensation philosophy, incentive and equity design, and the models and tools the business actually runs on: market research turned into clear recommendations, offer and leveling frameworks that People and Finance reach for, and fast, defensible answers in the moments that matter: performance cycles, offer decisions, retention calls. If your background comes from strategic finance, FP&A, analytics, or compensation built on real modeling, and you'd rather build the model than hand it off, keep reading. What You'll Do - Own the model. Build and maintain the comp and equity models, ranges, and scenario tools the company runs on, including cash-versus-equity tradeoffs. You build these yourself. - Own the cycles. Run annual and off-cycle comp planning end to end: strategy, budget, execution. Stay hands-on through the last approval. - Turn market data into decisions. Benchmark relentlessly against the AI, infrastructure, and tech companies we compete with for talent, using Radford, Pave, OpenComp, Levels.fyi, or similar. Ship guidance, not raw data. - Build tools people use. Develop offer decisioning, leveling guidance, and performance-cycle resources that cross-functional teams rely on to move faster and with more confidence. - Support performance cycles. Keep comp inputs into review and calibration accurate, consistent, and tied to strategy. - Run it like a data function. Build reporting and dashboards that surface pay equity, offer competitiveness, and retention risk, so decisions get smarter over time. What You'll Need - 3+ years in compensation, strategic finance, FP&A, analytics, or a comparably quantitative role, with real ownership of comp planning and the models behind it - Proven ability to drive compensation planning in step with business and People strategy, come ready to walk through specifics - Strong modeling and analytical skills: you build and maintain complex comp and equity models and translate the output into clear recommendations for senior leaders - A track record using market data (Radford, Pave, OpenComp, Levels.fyi, Mercer, or similar) to benchmark and calibrate pay - Experience partnering with cross-functional stakeholders, with deep knowledge of at least one competitive talent market (AI, infrastructure, tech, or similar) Nice to Have - Background in AI, cloud/infrastructure, or data centers - Equity and incentive design experience, including private-versus-public equity frameworks and the modeling that pre-IPO scaling demands - Experience operating inside a rapid-scaling, pre-IPO environment, and a firsthand sense of how comp breaks and gets rebuilt at each stage We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $160,000 - $180,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems, designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with built-in security, observability, and control. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London. About the Role We are seeking a Technical Program Manager to join our Infrastructure Delivery team and help drive programs across compute, network, storage, hardware, platform engineering, and data center operations. You'll work alongside Senior Infrastructure TPMs on complex datacenter and AI infrastructure deployments, taking direct ownership of defined workstreams while developing broader end-to-end infrastructure expertise. Over time, you'll expand your scope to independently lead programs from datacenter readiness through compute deployment to customer handoff. You do not need to have already led a large-scale GPU cluster deployment or a greenfield data center build. We're looking for strong infrastructure experience, solid TPM fundamentals, technical curiosity, and the ability to learn new domains quickly. What You’ll Do - Own defined infrastructure workstreams, milestones, dependencies, risks, decisions, and deliverables within larger programs - Drive day-to-day execution across engineering, operations, vendors, and external partners - Build and maintain project plans, critical paths, dependencies, RAID, and execution status - Coordinate across Infrastructure Engineering, Network, DC Operations, Platform, Security, Hardware, and other teams - Connect engineering execution in Jira to broader infrastructure milestones and delivery commitments - Identify blockers and cross-functional dependencies early and drive them through resolution - Support hardware deployments, network and storage initiatives, datacenter expansions, migrations, and capacity growth - Develop enough technical depth across workstreams to ask the right questions, understand dependencies, and challenge delivery assumptions - Provide clear, concise updates on progress, risks, decisions, and mitigation plans - Help improve Infra Delivery processes, tooling, documentation, and execution frameworks - Progressively take on broader scope toward independently leading end-to-end infrastructure programs Who You Are - 5+ years of experience in Technical Program Management, infrastructure program/project management, or similar - Experience driving programs within infrastructure, cloud, platform, SRE, systems, networking, hardware, or datacenter environments - Strong program management fundamentals, including project planning, milestones, critical path, dependencies, RAID logs, and stakeholder management - Able to understand technical architecture, requirements, and dependencies without needing to be the engineer implementing them - Proven ability to drive execution across multiple technical teams without direct authority - Comfortable getting into the details while maintaining visibility into the broader program outcome - Strong communicator who creates clarity across engineering, operations, vendors, and leadership - Comfortable operating where requirements, priorities, ownership, and processes are evolving - High learning agility and interest in developing expertise across datacenter and AI infrastructure Ideal Experience - Experience supporting compute, network, storage, cloud infrastructure, hardware deployment, or capacity expansion programs - Experience working with hardware vendors, colocation providers, VARs, or external partners - Experience coordinating programs through Smartsheet - Experience coordinating engineering execution through Jira - Familiarity with infrastructure capacity planning or hardware lifecycle management - Exposure to GPU infrastructure, AI/ML infrastructure, HPC, or distributed systems - Experience in a startup, high-growth company, or similarly fast-moving technical environment We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $160,000 - $220,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For We're hiring a data-driven People Operations specialist to build the AI-native People Ops organization Lightning AI runs on. Most companies buy six HR tools and then spend three years stitching them together. We're not doing that. We're building a tailored People operating system in-house that “just works”, including automated workflows for hiring, onboarding, and agentic employee and manager support as products. You'll be reporting to the Head of People Ops, where you'll find the problems, design the fix, and ship it to production while creating a best in class employee and manager experience. We are a small but mighty, high-velocity, and talent-dense team. We value extreme ownership and low-ego collaboration, living by “shipped is better than perfect”. What You’ll Do In one sentence: build, ship and administer People workflows, systems and solutions that make Lightning run better. This is the core of the role. - Design secure systems with role-based permissions and appropriate data access. People data is some of the most sensitive data in the company; access control is a first-class feature, not a later hardening pass. - Build agents, workflows, dashboards, and decision-support tools that help the People team, managers, and leaders make better decisions faster. Own day-to-day People Operations administration across the employee lifecycle, including onboarding, offboarding, employee changes, HRIS updates, documentation, and employee data management. - Support payroll and benefits administration, including employee changes, audits, reconciliations, enrollments, and resolving employee questions and issues. - Serve as a point of contact for employee and manager questions across pay, benefits, leave, policies, systems, and other People programs, partnering with the broader People team on escalations when needed. - Keep our People data and systems accurate and reliable through regular audits, data cleanup, documentation, and process maintenance. - Support recurring People programs and operational cycles, pitching in wherever needed to keep the function running smoothly. - Partner with the broader People team to identify, scope, and ship internal solutions end to end—from research and design through implementation, deployment, and iteration. - Build and maintain integrations, reporting, and automated workflows across our People systems. - Build solutions that meet legal and compliance requirements for handling employee data across multiple jurisdictions. What You’ll Need - A demonstrated People Operations specialist with strong product instincts and real experience building secure automated solutions for historically manual tasks: - 4+ years of experience in Tech with holistic People Operations service delivery and administration plus tier 0 / 1 / 2 employee and manager support. You've built or worked deeply on the systems behind it: knowledge bases, case management, ticketing and routing, SLA and quality measurement, escalation paths, deflection. You understand why a Tier 2 employee relations case needs different handling from a Tier 1 password reset, and you can build for both. - Experience with people data, business systems, analytics platforms, or enterprise data infrastructure (BigQuery, Snowflake, Databricks, SQL, Excel). - Deep familiarity with HRIS and / or ATS platforms (Rippling, Greenhouse, Ashby, or similar), as a builder or through close partnership with People teams. - Experience designing secure systems with role-based access control and data permissioning. - Strong product instincts. You think end to end, ask why, and care whether the thing actually gets used. - Excellent stakeholder management and demonstrated cross functional partnership with Finance, Legal, and IT. You can turn a multi-team operational mess into a technical solution without needing a roadmap handed to you. - Experience building processes and products from scratch and taking them to production. Nice To Have - Agile familiarity with Anthropic / OpenAI, and AI agents - Experience with Rippling, Greenhouse, Ramp, Carta, Pave, or Tilt We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $110,000 - $160,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For We are looking for Product Marketers obsessed with customers and AI to drive our products to market and curate the customer AI journey on Lightning. This senior individual contributor role will lead product marketing initiatives from narrative and positioning to launches, sales activation, customer storytelling, market insights, and competitive intelligence. This role reports to the Head of Product Marketing. What You’ll Do - Drive positioning, messaging, and end-to-end marketing strategy for Lightning AI products, and develop marketing content, including pitch decks, collateral, blog posts, webinars, and sales tools and more to communicate our value proposition. - Be a go-to market positioning authority grounded in data based evidence to the product team, campaign marketing, analyst relations, events, and sales teams, - Partner with Product Management to translate early-stage technical capabilities into compelling market narratives and help shape product evolution based on customer insights and market intelligence. - Own and drive product launches with positioning guidance for cross functional execution that create market moments. - Collaborate with Sales to develop content and tools that activate sales and customer facing teams including high-impact collateral, pitch decks, battlecards, product demos, and training to accelerate deal velocity. - Be a customer champion. Develop an understanding of pain points, needs, and outcomes for positioning insights. Craft compelling case studies and testimonials. - Partner with Demand Gen and Events teams to activate product and solution positioning and messaging through digital and offline channels to drive awareness and demand. - Represent Lightning AI at key industry events, webinars, briefings, and partner functions to elevate brand awareness and authority in AI. What You’ll Need - 8+ years of Technical Product Marketing experience in B2B enterprise software, Infrastructure, or Developer Tools with a proven record of creating differentiated positioning and driving measurable business impact. - Strong technical grounding and deep familiarity with the modern AI ecosystem, developer workflows, machine learning frameworks, and GPU cloud infrastructure. - Strong strategic thinking paired with executional excellence: you can shape a vision and roll up your sleeves to make it happen. Ability to synthesize complex market inputs, user feedback, and business metrics to make data-driven decisions and prioritize resources effectively. - A customer-first mindset and passion for creating market-defining stories that inspire and sell. - Proven history of planning and launching multi-product portfolios, leading to measurable pipeline growth and customer adoption. - Proven ability to partner cross-functionally with GTM, Product, and Marketing leaders, building deep and durable relationships that align strategies and outcomes. - A testing mindset and the operating discipline to turn learnings into repeatable programs, systems, and investment decisions. - Exceptional written, oral, and visual communication skills, with a track record of translating complex technical concepts into clear, compelling narratives for technical and business audiences. Experienced public speaker. We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $170,000 - $190,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For We're building an AI-native company, which means the way we hire, grow, and support our people has to move as fast as our product. We're looking for a Senior People Partner to embed with our engineering and technical leadership, a strategic thinker who makes org design, talent decisions, and complex people moments feel clear instead of chaotic. This isn't a purely advisory seat. You'll own high-stakes situations end-to-end, from a tricky leveling call to a sensitive exit, while also building the muscle and systems that let our technical leaders make great people decisions on their own. You'll join a small, high-leverage People team where your judgment shapes how a fast-scaling, distributed engineering and Neocloud org actually works. If you love being close to the technical org, translating ambiguity into structure, and being trusted with the hard stuff, this is your seat. What You'll Do - Partner directly with technical leaders to drive clear, consistent calls on org design, team structure, leveling, promotions, and comp - Own complex employee relations and performance situations end-to-end: coaching leaders through performance management, role transitions, and exits with care and rigor - Level up manager capability across the technical org: sharper feedback, better performance conversations, stronger talent decisions - Partner with Talent to raise the bar on hiring quality: role design, leveling frameworks, and evaluation practices for technical roles - Spot friction and risk in people processes before they become problems, and build pragmatic, scalable fixes alongside Legal, Total Rewards, and Finance What You'll Need - 8+ years in People Partnering or HRBP roles, with real depth partnering directly with engineering or technical orgs - A track record of influencing senior technical leaders on org design, performance, and talent decisions - Sharp employee relations judgment and a demonstrated ability to own and resolve high-stakes, complex situations - Experience driving comp, promotion, and leveling decisions in technical environments - Experience supporting globally distributed technical teams and navigating multi-country complexity - A builder's instinct for ambiguity, comfortable moving fast while creating practical structure and clarity - Excellent communication and influencing skills with senior, highly technical audiences - Exposure to international employment models or global expansion work Nice to Have - Deep familiarity with career frameworks and compensation models for engineering orgs - Experience building or evolving people systems inside a scaling, AI-native or deep-tech company - Experience supporting globally distributed engineering organizations specifically - SPHR or comparable certification - A track record of designing or improving compliance-focused programs that measurably reduce organizational risk We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $160,000 - $180,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We Are Looking For We are seeking an experienced Senior Network Engineer (InfiniBand / UFM) to design, deploy, automate, and operate next-generation AI Factory networking infrastructure supporting large-scale GPU clusters. This role is responsible for building and maintaining high-performance NVIDIA Quantum InfiniBand fabrics that power AI training and inference environments utilizing NVIDIA UFM, NCCL, RoCEv2, and modern data center technologies. The ideal candidate has deep expertise in InfiniBand networking, NVIDIA Unified Fabric Manager (UFM), large-scale GPU deployments, Linux networking, automation, and troubleshooting distributed AI workloads. The network is the foundation of distributed AI training. Performance bottlenecks at the fabric layer directly impact customer workloads. This role will shape how Lightning scales from tens of thousands of GPUs to significantly beyond — ensuring deterministic performance, predictable scaling, and enterprise-grade reliability. If you want to architect infrastructure that powers frontier AI research, this is the role for you. This role may be fully remote within the U.S., or hybrid out of one of our office hubs (NYC, SF, Seattle, or London), with occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time. What You’ll Do - Design, deploy, and maintain large-scale NVIDIA InfiniBand fabrics supporting AI/ML GPU clusters. - Deploy and administer NVIDIA Unified Fabric Manager (UFM) Enterprise for monitoring, provisioning, telemetry, and fabric health. - Configure and optimize NVIDIA Quantum and Quantum-2 InfiniBand switches. - Troubleshoot fabric performance issues impacting NCCL, MPI, GPUDirect RDMA, and AI training jobs. - Implement and validate fat-tree, Dragonfly+, Clos, and spine-leaf network architectures. - Perform firmware lifecycle management for InfiniBand switches, adapters (HCAs), and UFM infrastructure. - Optimize congestion control, adaptive routing, QoS, and traffic engineering for high-performance GPU communication. - Work closely with AI platform, GPU infrastructure, storage, and systems engineering teams to deploy scalable AI Factory environments. - Automate network provisioning using Python, Ansible, Git, REST APIs, and Infrastructure-as-Code methodologies. - Monitor network health using UFM telemetry, Prometheus, Grafana, and other observability platforms. - Support high availability, maintenance windows, incident response, root cause analysis, and capacity planning. - Participate in architecture reviews and define networking standards for AI infrastructure. What You'll Need Required Qualifications - 7+ years of experience in large-scale data center networking. - Experience deploying, operating, and troubleshooting InfiniBand environments. - Strong understanding of Layer 2 and Layer 3 networking, including BGP, EVPN, VXLAN, and spine-leaf architectures. - Strong Linux administration experience. - Experience with network automation using Python, Ansible, Terraform, or similar tools. - Experience with network troubleshooting, observability, and telemetry tooling. - Excellent troubleshooting, documentation, and communication skills. Ideal Experience - Experience with Netris, Terraform, or similar infrastructure tooling. - Experience with multi-region backbone design. - Exposure to bare-metal provisioning systems. - Experience operating HPC, GPU-dense, or other large-scale infrastructure environments. - Experience working in high-growth infrastructure startups Compensation We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $170,000 - $210,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. About the Role Lightning AI is seeking a Senior Infrastructure Software Engineer to join our Infrastructure Engineering team. Our Infrastructure Engineering team builds the software systems that operate and manage Lightning AI’s large-scale GPU and bare-metal infrastructure. We develop services, APIs, tooling, and automation that bridge the gap between our physical infrastructure and the systems our customers depend on for AI/ML training, inference, and HPC workloads. In this role, you will build production software and automation that support infrastructure throughout its lifecycle, from provisioning and bring-up through monitoring, maintenance, and decommissioning. You will design systems that enable engineers and software to interact programmatically with thousands of servers, storage systems, and high-performance networks, reducing manual operations and making infrastructure management more reliable, repeatable, and scalable. This is a software-first infrastructure role that combines strong software engineering with Linux systems and hardware-aware infrastructure automation. You will work closely with teams across Infrastructure, Networking, Data Center Operations, and Platform Engineering to bring new capacity online and continuously improve how we operate our infrastructure at scale. This role may be fully remote within the U.S., or hybrid out of one of our office hubs (NYC, SF, Seattle, or London), with occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time. What You Will Do Infrastructure Software & Automation - Design, build, and operate production services, APIs, tooling, and automation for managing large-scale bare-metal and GPU infrastructure - Build and extend software systems that support infrastructure provisioning, configuration, monitoring, and lifecycle management - Develop reliable automation that reduces manual operational work and improves the consistency and scalability of infrastructure management - Build tools and interfaces that enable engineers and other systems to interact programmatically with physical infrastructure Provisioning & Lifecycle Management - Build and extend systems for server discovery, provisioning, configuration, validation, and lifecycle management - Automate infrastructure bring-up and capacity deployment across large fleets of compute systems - Integrate software and automation with hardware management and provisioning systems - Improve tooling and workflows for managing infrastructure throughout its production lifecycle Reliability & Observability - Build telemetry, logging, and observability capabilities that provide visibility into the health of our infrastructure - Develop tools and automation to identify, diagnose, and respond to infrastructure and hardware issues - Translate recurring operational issues and hardware failure modes into improvements to software, tooling, and automation - Improve the reliability and scalability of infrastructure operations as the fleet grows Architecture & Collaboration - Partner with Network, Infrastructure Operations, Data Center, Platform Engineering, and other teams to define requirements and build new infrastructure capabilities - Participate in architectural discussions and help define the technical direction of Lightning AI’s infrastructure software - Make pragmatic design decisions that balance reliability, scalability, simplicity, and speed of execution - Write clear design documents and technical documentation and contribute to engineering best practices Who You Are Required Qualifications - 8+ years of professional software engineering, infrastructure engineering, or related experience - Strong software engineering fundamentals and experience building production backend systems in Python or similar object-oriented programming languages - Strong experience with Linux in production environments - Experience building APIs, tooling, or automation for managing infrastructure at scale - Familiarity with containerization and orchestration concepts - Understanding of HPC and bare-metal infrastructure fundamentals, including provisioning and out-of-band management - Ability to navigate ambiguity and make pragmatic architecture decisions while building for long-term reliability and scale - Experience working in a startup or other fast-paced environment with a high degree of ownership and autonomy Ideal Experience - Experience with bare-metal hardware troubleshooting and provisioning, including technologies such as PXE/iPXE, BMC, Redfish, or IPMI, particularly with Dell hardware - Experience with GPU servers, either in bare-metal environments or under virtualization - Experience with network switches, routers, and firewalls, particularly SONiC switches, Palo Alto firewalls, or Juniper Networks - Experience with high-performance storage systems, particularly VAST - Experience supporting AI/ML or HPC infrastructure at scale Compensation We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $180,000 - $220,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For We’re looking for a Fullstack Engineer to help develop and scale the Lightning AI platform across the frontend, CLI, APIs, and core backend systems. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale. This role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time. What You’ll Do - Write readable/testable/efficient code in React and either Python or Go (Golang). - Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance. - Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects. - Evaluate, strengthen, and document technical architecture, tools, and processes. - Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt. - Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow. What You’ll Need - Proficiency in React and either Go (Golang) or Python, with a preference for Go - Strong understanding of software engineering principles and lifecycle - Hands-on experience as a Fullstack Engineer in a SaaS technology company - Proven ability to take ownership of key features and drive end-to-end development - Communication and collaboration with engineers, product managers, and designers - Ability to operate in high uncertainty and rapidly changing environments Compensation We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $120,000 - $250,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For Lightning AI is seeking a Storage Infrastructure Engineer to join our Infrastructure Engineering team. In this role, you will focus on building and operating the storage systems that power large-scale AI/ML training, inference, and HPC workloads. You will work at the intersection of software, hardware, and operations—developing automation, improving reliability, and scaling distributed storage systems across our bare-metal infrastructure. You will help own the data plane of our storage infrastructure, supporting high-throughput, low-latency data access for some of the most demanding AI workloads. You’ll play a key role in managing and evolving our storage stack (including VAST and S3-compatible systems like Ceph), ensuring performance, reliability, and efficiency at scale. This role may be fully remote within the U.S., or hybrid out of one of our office hubs (NYC, SF, Seattle, or London), with occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time. What You'll Do Storage Systems & Infrastructure - Operate and scale distributed storage systems, including VAST and S3-compatible object storage (e.g., Ceph) - Improve performance, reliability, and efficiency of storage systems supporting large-scale AI/ML workloads - Troubleshoot complex storage and data path issues across hardware and software layers - Optimize storage performance to support high-throughput, low-latency AI training and inference workloads Automation & Tooling - Build and maintain automation for provisioning, managing, and monitoring storage infrastructure - Develop Python-based tools and workflows to reduce manual operational overhead - Improve lifecycle management of storage clusters, from deployment through maintenance and scaling Systems & Operations - Manage and operate Linux-based systems in production, including bare-metal environments - Partner with infrastructure and data center teams on hardware bring-up, upgrades, and issue resolution - Support capacity planning, utilization tracking, and forecasting for storage systems - Leverage monitoring and telemetry to diagnose issues and improve system performance and reliability Cross-Functional Collaboration - Work closely with Infrastructure Engineering, Network Engineering, and Platform teams to integrate storage into the broader platform - Contribute to design discussions around new infrastructure deployments and scaling strategies - Help define best practices for operating storage systems in high-performance computing environments What You'll Need Required Qualifications - 5+ years of experience in infrastructure engineering, systems engineering, or related roles - Hands-on experience operating distributed storage systems (e.g., VAST, Ceph, or similar) - Strong Linux systems experience in production environments - Proficiency in Python or similar scripting/programming languages for automation - Experience working with bare-metal infrastructure and hardware-oriented systems - Ability to debug complex issues across system boundaries (storage, OS, hardware, networking) - Experience with storage networking protocols (e.g., NFS or similar) - Experience with capacity planning, monitoring, and performance tuning Ideal Experience - Experience with VAST storage systems in production environments - Experience operating S3-compatible object storage at scale - Data center operations experience, including working with physical hardware - Familiarity with AI/ML or HPC workloads and their storage requirements - Background in high-performance or low-latency distributed systems - Familiarity with high-performance data transfer technologies (e.g., RDMA, GPU Direct Storage) - Experience supporting GPU-based workloads or large-scale compute clusters Compensation We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $180,000 - $220,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For Lightning AI is seeking a GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team. In this role, you will help bring up, validate, and operate large-scale bare-metal compute infrastructure, with a particular focus on GPU-enabled systems. You will work at the intersection of hardware, systems, and software—owning system diagnostics and validation, developing automation, improving reliability, and ensuring clusters are ready to support demanding AI/ML and HPC workloads. You will play a key role in GPU and system-level qualification, running validation environments and test clusters, and improving the tooling and workflows that support infrastructure bring-up at scale. This includes owning and evolving our image pipeline alongside provisioning and validation systems to ensure our infrastructure is consistent, performant, and reliable from day one. This role may be fully remote within the U.S., or hybrid out of one of our office hubs (NYC, SF, Seattle, or London), with occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time. What You'll Do Systems Bring-Up & Validation - Own and evolve systems for image management, deployment, and validation across bare-metal infrastructure - Run and maintain test clusters used for system validation, diagnostics, and bring-up - Validate firmware, drivers, and OS images across compute and GPU-enabled systems - Support hardware qualification efforts for next-generation platforms GPU Diagnostics & Performance - Own GPU diagnostics and validation workflows across large-scale infrastructure - Diagnose and resolve complex issues across GPUs, drivers, OS, and hardware layers - Analyze system and GPU performance using tools such as NVIDIA DCGM - Identify failure patterns and drive improvements in system stability and validation coverage Automation & Tooling - Build and maintain automation for provisioning, validation, and system bring-up - Develop Python-based tools and workflows to improve efficiency and reduce manual operational overhead - Improve the reliability, repeatability, and scalability of image pipelines and validation systems Systems & Operations - Manage and operate Linux-based systems in production and validation environments - Manage virtualization technology - Support bare-metal provisioning workflows, including PXE and image-based systems - Interface with hardware management systems (e.g., IPMI, Redfish) for monitoring and debugging Cross-Functional Collaboration - Partner with Infrastructure, Hardware, and Data Center teams on system bring-up and validation - Collaborate with platform and ML teams to ensure systems meet workload requirements - Contribute to best practices for provisioning, diagnostics, and lifecycle management of infrastructure What You'll Need Required Qualifications - 5+ years of experience in infrastructure engineering, systems engineering, or related roles - Strong Linux systems experience in production environments - Hands-on experience with GPU-enabled systems and tools such as NVIDIA DCGM - Familiarity with bare-metal provisioning and system bring-up workflows - Proficiency in Python or similar scripting/programming languages for automation - Ability to debug complex issues across hardware, OS, GPUs, and system software Ideal Experience - Experience with high-performance interconnects (e.g., InfiniBand, NVLink) - Experience with PXE boot environments, LiveCD systems, or image-based provisioning workflows - Experience with hardware management interfaces such as iDRAC, IPMI, or Redfish - Data center operations experience, including working with physical hardware - Experience supporting AI/ML or HPC workloads at scale - Experience with GPU validation frameworks or large-scale hardware qualification processes Compensation We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $180,000 - $220,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For We are looking for a Global leader of Product & Solutions Marketing to build and scale how we take our products to market and curate the customer AI journey on Lightning. This strategic leadership role will lead the product marketing function from narrative and positioning, to launches, sales activation, customer storytelling, market insights, and competitive intelligence. This is a marketing leadership role reporting to the CMO. While we prefer local candidates to our SF or NYC office, we are open to remote US candidates for this role. What You’ll Do - Own the strategic narrative and positioning. Craft clear, differentiated messaging and positioning across the platform, products, and competitive landscape aligned to our vision and business strategy. Create and maintain messaging architecture and assets for GTM and marketing teams to leverage across activities and channels. - Define key solutions and use cases by customer segment, industry, or persona that advance customers along the buyer's journey from education to adoption at scale. - Be the subject matter expert by developing a deep product and technical fluency of our products and understanding of market trends and their implications to our product strategy and go-to-market. Conduct deep market research, customer analysis, and competitive tracking to identify industry trends, market gaps, and strategic opportunities. - Be the customer champion and build a deep understanding of their pain points, buying journey, and decision making to bridge their experiences into the company narrative and product value proposition. Drive customer insights, win/loss analysis, and research to improve positioning and messaging. Build strong relationships with customers to craft compelling case studies, testimonials, and usage stories showcasing ROI and success. - Lead go-to-market planning and execution for major product launches, feature updates, partnerships, and strategic solutions campaigns to drive adoption and growth. - Develop and deliver content and tools to activate sales and customer facing teams including high-impact collateral, pitch decks, battlecards, product demos, and training to accelerate deal velocity. - Cross-Functional Leadership with Product Management, Engineering, Revenue Teams, and within Marketing to align strategy and roadmap to narrative and execution in the market. - Represent Lightning AI at key industry events, webinars, briefings, and partner functions to elevate brand awareness and authority in AI. - Establish experimentation and AI-native automation as core operating principles and develop testing frameworks across messages, offers, website experiences, and conversion paths. - Hire, coach, and scale a team of high performing and curious product marketers, fostering a culture of creativity, ownership, and continuous learning. What You’ll Need - 12+ years of Technical Product Marketing experience in B2B enterprise software, Infrastructure, or Developer Tools with a proven record of creating differentiated positioning and driving measurable business impact. - Strong technical grounding and deep familiarity with the modern AI ecosystem, developer workflows, machine learning frameworks, and GPU cloud infrastructure. - Strong strategic thinking paired with executional excellence: you can shape a vision and roll up your sleeves to make it happen. Ability to synthesize complex market inputs, user feedback, and business metrics to make data-driven decisions and prioritize resources effectively. - A customer-first mindset and passion for creating market-defining stories that inspire and sell. - Proven history of planning and launching multi-product portfolios, leading to measurable pipeline growth and customer adoption. - Proven ability to partner cross-functionally with GTM, Product, and Marketing leaders, building deep and durable relationships that align strategies and outcomes. - A testing mindset and the operating discipline to turn learnings into repeatable programs, systems, and investment decisions. - Exceptional written, oral, and visual communication skills, with a track record of translating complex technical concepts into clear, compelling narratives for technical and business audiences. Experienced public speaker. - Strong business acumen and executive presence. Earns trust and builds credibility with strong communication skills and cross-functional leadership. Can hold a strong point of view and be comfortable making hard calls. - Hands-on leader who is comfortable building from scratch with experience operating at scale. You know what good looks like and can build from 0 to N. We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $270,000 - $290,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. Revenue Operations Manager Team: GTM Operations and Strategy Location: [NYC] - Hybrid Reports to: GTM Operations Senior Manager About Lightning AI Lightning AI is building the platform and infrastructure that make it dramatically easier for teams to develop, train, deploy, and scale AI systems. As the company behind PyTorch Lightning, and following our merger with Voltage Park, we bring together developer-first AI tooling with high-performance compute infrastructure for researchers, startups, and enterprises building at the frontier of AI. We operate with a simple set of values: Move Fast, Focus, Balance, Craftsmanship, and Minimal. We care about people who can operate with urgency, solve hard problems directly, and build with high standards without creating unnecessary complexity. About the Role We are looking for a Revenue Operations Manager to help Lightning AI’s go-to-market teams ramp faster, sell sharper, and operate with a shared AI forward playbook. The Revenue Operations Manager will help drive growth by shaping the strategy, systems, and processes that power our go-to-market organization. In this role, you’ll lead high-impact strategic and operational initiatives, driving improvements across systems, forecasting, pipeline management, territory design, analytics, processes, and other key revenue operations projects. This role is ideal for someone who combines strategic thinking with a hands-on approach to execution. What You'll Do - Own and drive key revenue operations initiatives, including systems, reporting, forecasting, process optimization, territories, and compensation. - Own and optimize our GTM tech stack (custom objects, automations, etc.) and broader GTM tech stack – implementing new tools where needed. - Reimagine Rev Ops for the AI era, translating that vision into scalable systems, processes, and strategies across both RevOps and GTM teams. - Partner cross-functionally with GTM leaders and individual contributors across Sales, Marketing, Customer Success, Product, Finance, Legal, and our C-suite to proactively identify areas of opportunity and drive alignment. Requirements - 4+ years of Revenue Operations or related Operations role at a fast-growth venture-backed SaaS startup - Strong understanding of Rev Ops best practices - Highly analytical - Hands-on experience managing a modern SaaS tech stack (e.g. Hubspot, Gong, Ironclad, Apollo, LinkedIn Sales Navigator, etc.) - Proven experience partnering with Sales teams and presenting insights and recommendations to CRO - Experience leveraging AI tools and automation - Willingness to work in person at our office 3 days a week Nice-to-Haves - Experience with AI, cloud infrastructure, developer tools, data platforms,MLOps, or enterprise SaaS. - Familiarity with MEDDIC/MEDDPICC, Command of the Message, Force Management, or similar enterprise sales methodologies. Why Lightning AI - You will help define how companies build and scale real AI systems, not just sell another generic software product. - You will join a company with developer credibility, infrastructure ambition, and a GTM motion that is still early enough to shape. We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $140,000 - $180,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs.Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential. We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $160,000 - $180,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. Who We Look For The people who thrive at Lightning AI are builders who move with urgency, communicate openly, take ownership, and continuously raise the bar for themselves and their teams. We value leaders who create clarity in complex environments, stay close to customers and the work, and build systems that scale without introducing unnecessary processes. About the Role We are looking for a Director of Customer Experience to build and lead the organization responsible for helping Lightning AI customers realize meaningful value from our platform. You will own the strategy, operating model, and execution of our customer experience function, leading a team of Technical Account Managers and Customer Experience Managers supporting customers across the AI lifecycle—from initial onboarding and workload migration through production adoption, optimization, and expansion. This role sits at the intersection of customers, engineering, product, sales, and infrastructure. You will be accountable for ensuring customers can successfully build and operate AI workloads on Lightning AI while receiving clear, proactive, and technically credible guidance throughout the relationship. The right leader will combine strong customer judgment with technical depth and operational rigor. You should be comfortable getting into the technical details enough so that you understand where customers are blocked, influencing product priorities, and advising executives on retention, risk, adoption, and account health. This is a highly visible leadership role with the opportunity to define what world-class customer experience looks like for a developer-first AI platform and infrastructure company. What You’ll Do - Define and own Lightning AI’s customer experience strategy across onboarding, implementation, adoption, technical success, support coordination, retention, and expansion. - Build, lead, and develop a high-performing global team of Technical Account Managers and Support Engineers. - Establish account-health frameworks that combine product usage, platform reliability, workload performance, customer sentiment, support activity, and commercial risk. - Create clear escalation and incident-management processes that provide customers with fast response times, strong ownership, seamless internal coordination, and proactive communication. - Define and track the metrics that matter, including time to value, activation, platform adoption, workload growth, retention, expansion, customer health, resolution time, and customer satisfaction. - Turn customer conversations and usage patterns into actionable insights for product and engineering. - Scale the function thoughtfully, balancing high-touch customer engagement with automation, self-service resources, and repeatable programs. What You’ll Need - 10+ years of experience across customer experience, customer success, technical account management, solutions architecture, professional services, or a related customer-facing function. - Growth-stage, enterprise SaaS, developer platform, cloud infrastructure, or AI infrastructure environment preferred, but not required - A proven track record of building or scaling customer experience organizations supporting technically complex products. - Strong technical fluency and the ability to engage credibly with engineering leaders, ML engineers, AI researchers, infrastructure teams, and enterprise platform organizations. - A record of improving customer adoption, retention, account health, and operational execution through clear systems and measurable goals. - Strong judgment during high-pressure customer escalations, including the ability to create clarity, align internal teams, and communicate directly with senior stakeholders. - Excellent written and verbal communication skills. You can move comfortably between a technical incident review, an executive customer conversation, an internal product discussion, and a team operating review. - Strong cross-functional influence, particularly with Product, Engineering, Infrastructure, Sales, and Finance. - A high bias for action and comfort operating in an ambiguous, fast-moving environment with limited process and significant ownership. - The ability to think strategically while remaining close to customers, team execution, and operational details. Bonus Points - Familiarity with PyTorch, distributed training, model serving, inference, Kubernetes, Slurm, GPU clusters, or modern AI development workflows. - Experience supporting both product-led and enterprise sales motions. - Experience building global or follow-the-sun customer coverage models. - Experience developing AI-powered customer operations, automation, self-service tooling, or customer intelligence systems. Location This role is based in New York City, with an expectation of working from the office at least two days per week and participating in occasional team and company offsites. We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $155,000 - $220,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. About the Role We're moving fast, and our data infrastructure needs to keep up. GPU telemetry, product usage, and operational signals are accumulating faster than our pipelines can surface them. We're at the stage where the right data foundation unlocks everything: better product decisions, faster model iteration, and cleaner ops. As our first Data Engineer , you will help us get there. This is an early, high-scope role reporting to our VP of Product. You'll own data reliability across the company: clean tables, documented lineage, and signal flowing to where it's needed. You drive projects from conception to production without waiting to be told what to do next. What You’ll Do - Design and own ETL/ELT pipelines that move GPU telemetry, product usage, operational data, and customer data from where it lives to where it's useful - Build and maintain the clean, documented tables that analysts and data scientists actually work from — not raw dumps - Own data quality end-to-end: schema management, freshness monitoring, lineage tracking, and alerting when something breaks - Partner with engineering and GTM teams to instrument what isn't already tracked - Work closely with product, infra, and ML teams, primarily unblocking them What You’ll Need - 10+ years of total experience in analytics engineering, data engineering, or similar data-focused roles - Deep expertise in data modeling, ETL pipelines, and data warehouse architecture - Strong technical foundation with expertise in SQL, Python, and modern data stack tools (dbt, SQLMesh, etc) - Experience partnering with Data Science, Product, and Engineering leaders to deliver key product metrics and user behavior insights - Demonstrated ability to balance strategic thinking with hands-on technical leadership - Strong communication skills with the ability to translate complex technical concepts for diverse audiences - Experience scaling analytics functions from early stage to maturity in rapidly changing environments - Track record of establishing data governance, quality standards, and best practices - A bias for action and urgency, not letting perfect be the enemy of the effective - A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end Location We work in-person from our NYC office 2 days a week—we've found it accelerates how fast we ship. We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $188,000 - $275,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For We’re looking for a Backend Engineer to help develop and scale the Lightning AI platform, spanning APIs, infrastructure, billing, security, and integrations. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale. This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time. What You’ll Do - Write readable/testable/efficient code in Go (Golang). - Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance. - Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects. - Evaluate, strengthen, and document technical architecture, tools, and processes. - Maintain software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt. - Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow. What You’ll Need - Extensive experience writing efficient, maintainable code in Go. Familiarity with best practices in testing, readability, and optimization is essential. - Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols. Exposure to frontend frameworks is a plus. - Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable. Familiarity with containerization (Docker, Kubernetes) is a strong advantage. - Proven ability to take ownership of key features and drive end-to-end development - Commitment to software quality, test automation, and continuous delivery. Experience proactively managing technical debt and speeding up time to production. - Hands-on experience as a backend or product engineer in a SaaS technology company - Communication and collaboration with engineers, product managers, and designers - Ability to operate in high uncertainty and rapidly changing environments Compensation We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $180,000 - $250,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For We are looking for an Account Executive with experience selling highly technical, developer-focused products to CTOs, VPs of Engineering, software engineers, researchers, and/or data scientists. You thrive in a fast-paced, start-up environment focusing on every step of the sales process, from prospecting, qualifying, and nurturing leads to running demos, negotiating contracts, and closing deals. We want someone who thinks about how to uncover and address our customers’ problems to drive customer acquisition while feeding their requirements back to inform the product roadmap. This role is based out of our New York City office, with an in-office requirement of at least 3 days per week and occasional team and company offsites. What You’ll Do - Build an understanding of our target markets, value proposition, and pricing models to not only meet but exceed quarterly revenue targets. - Focus on high-quality, consistent outbound prospecting across key market segments to build the sales pipeline and optimize the customer funnel. - Qualify and develop both inbound and outbound sales leads. - Collaborate with the product, engineering, and marketing teams to continuously improve and iterate on the sales process. - Analyze industry trends and customer segmentation to identify and capitalize on new sources of qualified leads. - Work alongside the marketing team to increase the number and quality of inbound leads. - Champion data integrity and accuracy using HubSpot to track activity and manage sales opportunities through the funnel. What You’ll need - 5+ years of experience as an Account Executive or in a similar sales role, selling technical or developer-focused products to technical audiences. - Familiarity with the machine learning, AI, or software development ecosystem, and an ability to grasp complex technical concepts. - Proven track record of meeting or exceeding revenue targets in a fast-paced startup environment. - Experience with outbound prospecting, qualifying leads, running demos, and closing deals is essential. - Ability to uncover customer pain points, articulate value propositions, and effectively address objections to drive solutions. - Strong interpersonal skills to work cross-functionally with leadership, product, engineering, and marketing teams. - Proficiency with HubSpot or a similar CRM to track activity, manage the sales pipeline, and ensure data integrity. - Solid understanding and application of a sales methodology (e.g., MEDDIC, Challenger, or Sandler) with the ability to tailor approaches to different customer needs and scenarios. Compensation This role offers $300K OTE, with a 50/50 base/variable split, in addition to meaningful equity. Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For The Agents team at Lightning AI is building the infrastructure that powers the next generation of AI applications. As AI agents move from prototypes to production, developers need reliable systems for orchestrating workflows, coordinating models, executing tools, and managing long-running state. Our goal is to provide the platform and abstractions that make building production-ready agentic applications as simple as deploying any modern software service. We're looking for a Senior Software Engineer to help design and build the backend systems that power Lightning AI's agent platform. You'll work on orchestration frameworks, tool execution, workflow management, memory and state handling, and developer-facing APIs that enable customers to build sophisticated AI applications with confidence. You'll partner closely with engineers across Core Platform, Training & Experimentation, Sandboxes, and Optimized Compute to deliver platform capabilities that are reliable, scalable, and intuitive for developers. This role is based in one of our San Francisco, NYC, or London office hubs, with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time. What You’ll Do - Design and build backend services that power AI agent orchestration and execution. - Develop scalable APIs and platform capabilities for tool use, workflow orchestration, memory, and state management. - Build reliable infrastructure that enables long-running, distributed AI workflows. - Partner with product, research, and platform engineering teams to bring new agent capabilities into production. - Improve platform reliability, observability, and performance as customer workloads continue to scale. - Evaluate and strengthen technical architecture, engineering processes, and developer tooling. - Maintain high standards for software quality through testing, automation, continuous delivery, and proactive management of technical debt. - Mentor engineers on system design, distributed systems, and backend engineering best practices What You’ll Need - Extensive experience building scalable backend systems using Go, Python, Rust, or similar languages. - Strong understanding of distributed systems, asynchronous processing, APIs, and cloud-native application architecture. - Experience designing and operating production services at scale. - Hands-on experience building backend platforms, developer tools, or infrastructure products. - Familiarity with cloud platforms such as AWS, GCP, or Azure and container technologies including Docker and Kubernetes. - Proven ability to take ownership of large technical initiatives from architecture through production. - Commitment to software quality, automated testing, observability, and continuous delivery. - Strong communication skills and the ability to collaborate effectively across engineering, product, research, and design teams. - Ability to thrive in fast-moving, ambiguous environments while balancing technical excellence with product impact. Compensation We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $180,000 - $250,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For We are looking for a senior product designer to help us design groundbreaking technology that will transform the machine learning ecosystem and fundamentally change how the world experiences software. With a diverse skill set spanning product, interaction, and visual design, you are able to create products that are a joy to use and add tangible value to our users. You will collaborate across product and engineering to bring user flows and designs to life while working closely with users to test new ideas, conduct research, and gather feedback. You thrive in a fast-paced, start-up environment with a focus on speed, quality, and iteration from proof of concept to release. You will be joining the Design Team and report to our Chief Creative Officer. This is a hybrid role based in our New York City office with in-office requirements of 2 days per week. We are open to San Francisco but NYC is the preferred location. The salary range for this role is $160,000-$200,000. What You’ll Do - Collaborate with product and engineering teams to shape the user experience, interface, interactions, and visual design of new and existing features. Act as a key design partner in defining product strategy throughout the end-to-end development process. - Craft user journeys, flows, prototypes, and designs—sometimes starting from scratch, other times by refining early engineering prototypes or providing design enhancements and guidance as products evolve. - Proactively identify design opportunities and drive continuous improvement based on business objectives, user requirements, and customer requests. - Engage with the open source AI community and enterprise AI researchers and builders to understand real-world needs, workflows, and challenges—bringing those insights directly into the product design process. - Discover creative ways to eliminate friction and reduce papercuts through design, making it easier for users to onboard and utilize our platform from day one. - Advocate for scalable, user-centered design systems and processes that improve design velocity, consistency, and impact across the product. What You’ll Need - 5+ years of experience designing B2C software or technical platforms, preferably in developer tools, AI/ML, or SaaS environments - Strong portfolio showcasing end-to-end product thinking across UX, interaction, and visual design - Experience working with product managers, engineers, and researchers to iterate quickly and ship thoughtfully - Curiosity and initiative in engaging with the open source AI ecosystem, and a desire to understand the needs of both individual contributors and enterprise AI teams - Comfort working in ambiguity and across multiple product maturity levels—from early-stage prototypes to production features - Proficiency in Figma and modern design tools - Familiarity with technical concepts like machine learning, APIs, or cloud infrastructure (not required, but a plus) - Excellent communication skills, with the ability to present design rationale clearly and influence cross-functional teams - A mindset of continuous learning, user advocacy, and pragmatic design execution - Experience coding front-end is not required but a big plus! We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $160,000 - $200,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. Partner Account Manager Team: Partnerships / Channel Location: [NYC] - Hybrid Reports to: Head of Partnerships or VP, Channels About Lightning AI Lightning AI is building the platform and infrastructure that make it dramatically easier for teams to develop, train, deploy, and scale AI systems. As the company behind PyTorch Lightning, and following our merger with Voltage Park, we bring together developer-first AI tooling with high-performance compute infrastructure for researchers, startups, and enterprises building at the frontier of AI. We operate with a simple set of values: Move Fast, Focus, Balance, Craftsmanship, and Minimal. We care about people who can operate with urgency, solve hard problems directly, and build with high standards without creating unnecessary complexity. About the Role We are looking for a Partner Account Manager to help build Lightning AI’s partner ecosystem and turn strategic partnerships into real revenue. This role will own relationships with channel, cloud, reseller, services, and technology partners, and will be responsible for building joint pipeline, aligning field teams, and making partners successful in positioning Lightning AI to customers building serious AI systems. What You'll Do - Own a portfolio of strategic partners and build clear joint business plans tied to pipeline, revenue, customer adoption, and field engagement. - Create and execute co-selling motions with partner sales teams, Lightning AI Account Executives, Solutions Engineering, Marketing, and Customer Success. - Identify partner-sourced and partner-influenced opportunities, qualify fit, and help move deals through the sales cycle. - Develop partner account plans, executive alignment maps, target account lists, enablement plans, and quarterly business reviews. - Work with Channel MLSEs and Partner Enablement to ensure partner teams understand Lightning AI’s technical value proposition and how to identify strong-fit customers. - Negotiate and operationalize partner motions, including referral, resale, co-sell, marketplace, implementation, and services workflows where applicable. - Track partner performance, pipeline health, sourced revenue, influenced revenue, activation, and engagement quality. - Represent partner feedback internally and help improve partner programs, packaging, integrations, and field processes. What We're Looking For - 5+ years in partnerships, channel sales, business development, alliances, enterprise sales, or partner account management. - Experience building revenue-producing partnerships in technical B2B markets. - Strong commercial instincts and the ability to turn partner relationships into pipeline, opportunities, and closed revenue. - Experience working with sales teams, technical pre-sales teams, partner field teams, marketing, and operations. - Ability to build trust with partner executives and field sellers while driving accountability to measurable outcomes. - Strong project management and communication skills, especially in ambiguous or cross-company environments. - Comfort operating in a high-growth company where the partner motion is still being built. Nice-to-Haves - Experience with cloud partners, systems integrators, AI/ML consultancies, data partners, developer platforms, or infrastructure ecosystems. - Experience with marketplace, resale, referral, co-sell, or services partner models. - Familiarity with AI infrastructure, GPUs, MLOps, data platforms, or enterprise cloud buying cycles. - Experience building partner programs from an early stage. Why Lightning AI - You will help define how companies build and scale real AI systems, not just sell another generic software product. - You will work with technical customers and teammates who care about speed, clarity, craft, and direct problem-solving. - You will join a company with developer credibility, infrastructure ambition, and a GTM motion that is still early enough to shape. We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $175 - $200 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. *]:pointer-events-auto [content-visibility:auto] supports-[content-visibility:auto]:[contain-intrinsic-size:auto_100lvh] R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-WEB:6da214d3-9e35-4d43-89b6-34d5a76ffba7-1" data-turn-id-container="request-WEB:6da214d3-9e35-4d43-89b6-34d5a76ffba7-1" data-testid="conversation-turn-4" data-scroll-anchor="false" data-turn="assistant"> What We're Looking For Lightning AI is seeking an experienced Infrastructure Operations Engineer to join our APAC InfraOps function to help scale and operate our next-generation AI infrastructure platform. Our InfraOps team sits at the center of reliability, automation, and operational scale for GPU infrastructure. This team owns break/fix operations, incident response, customer provisioning, observability, and the automation systems that keep complex infrastructure running efficiently. In this role, you’ll work hands-on with large-scale GPU environments, Linux systems, bare metal infrastructure, provisioning workflows, and platform reliability. You’ll partner closely with Infrastructure Engineering, Network Operations, and Software Platform teams to troubleshoot issues, improve operational efficiency, and build automation that reduces manual toil over time. This role is remote and open to candidates residing in Singapore. The role follows a Monday-Friday schedule from 8:00 AM to 5:00 PM local time (UTC+8), with regular participation in an on-call rotation. What You'll Do - At the direction of the Manager of Infrastructure Operations, design, build, and roll out new platforms and patterns to minimize incidents and enable customer facing and internal features. - Deploy updates and improvements to support both Voltage Park’s internal and end customer use cases. - Collaborate with colleagues in Infrastructure Engineering, Network Operations, Customer Success and Software and Platform Development Teams. - Participate in the on-call rotation which is evenly distributed across all team members in a primary / secondary pattern where you are primary then move to a secondary position. What You Will Need Required Qualifications - 8+ years working with Linux as a server / hosting platform, extra points for Ubuntu experience. - 5+ years experience with AWS. - 2+ years experience with Kubernetes and strong container fundamentals. - 2+ years experience with Terraform and Ansible - 2+ years with network attached storage management (via NFS, ceph, or other protocols). Extra points for experience with VAST storage systems. - Experience with monitoring systems (Prometheus, ELK stack). - Familiarity with the gitops workflow. - Software development experience using Python, Go, bash, or other languages for the purposes of automation & connecting systems & APIs together. - Deep networking fundamentals, extra points for experience with datacenter level networks, 400Gb ethernet, and Infiniband. - Experience building and delivering complex systems. - Effective at navigating tradeoffs between design, risk, cost, and outcomes. - Comfortable with navigating ambiguity. - Strong written and oral communication. Nice-to-Haves - Experience with bare metal hardware troubleshooting and provisioning, extra points for working with Dell hardware. - Experience with GPU servers, both in bare metal form or under virtualization. - Deep experience with network switches, routers, and firewalls, particularly SONiC switches, Palo Alto firewalls and Juniper Networks as vendors. - Experience with VAST storage systems Compensation We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $165,000 - $205,000 SGD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. *]:pointer-events-auto [content-visibility:auto] supports-[content-visibility:auto]:[contain-intrinsic-size:auto_100lvh] R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-WEB:6da214d3-9e35-4d43-89b6-34d5a76ffba7-1" data-turn-id-container="request-WEB:6da214d3-9e35-4d43-89b6-34d5a76ffba7-1" data-testid="conversation-turn-4" data-scroll-anchor="false" data-turn="assistant"> What We're Looking For Lightning AI is seeking an experienced Infrastructure Operations Engineers to help scale and operate our next-generation AI infrastructure platform. Our InfraOps team sits at the center of reliability, automation, and operational scale for GPU infrastructure. This team owns break/fix operations, incident response, customer provisioning, observability, and the automation systems that keep complex infrastructure running efficiently. In this role, you’ll work hands-on with large-scale GPU environments, Linux systems, bare metal infrastructure, provisioning workflows, and platform reliability. You’ll partner closely with Infrastructure Engineering, Network Operations, and Software Platform teams to troubleshoot issues, improve operational efficiency, and build automation that reduces manual toil over time. This role may be fully remote within the U.S., or hybrid out of one of our office hubs (NYC, SF, Seattle, or London), with occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time. What You'll Do - At the direction of the Manager of Infrastructure Operations, design, build, and roll out new platforms and patterns to minimize incidents and enable customer facing and internal features. - Deploy updates and improvements to support both Voltage Park’s internal and end customer use cases. - Collaborate with colleagues in Infrastructure Engineering, Network Operations, Customer Success and Software and Platform Development Teams. - Participate in the on-call rotation which is evenly distributed across all team members in a primary / secondary pattern where you are primary then move to a secondary position. What You Will Need Required Qualifications - 8+ years working with Linux as a server / hosting platform, extra points for Ubuntu experience. - 5+ years experience with AWS. - 2+ years experience with Kubernetes and strong container fundamentals. - 2+ years experience with Terraform and Ansible - 2+ years with network attached storage management (via NFS, ceph, or other protocols). Extra points for experience with VAST storage systems. - Experience with monitoring systems (Prometheus, ELK stack). - Familiarity with the gitops workflow. - Software development experience using Python, Go, bash, or other languages for the purposes of automation & connecting systems & APIs together. - Deep networking fundamentals, extra points for experience with datacenter level networks, 400Gb ethernet, and Infiniband. - Experience building and delivering complex systems. - Effective at navigating tradeoffs between design, risk, cost, and outcomes. - Comfortable with navigating ambiguity. - Strong written and oral communication. Nice-to-Haves - Experience with bare metal hardware troubleshooting and provisioning, extra points for working with Dell hardware. - Experience with GPU servers, both in bare metal form or under virtualization. - Deep experience with network switches, routers, and firewalls, particularly SONiC switches, Palo Alto firewalls and Juniper Networks as vendors. - Experience with VAST storage systems Compensation We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $160,000 - $200,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. Who We're Looking For We’re looking for a Product Manager, AI Infrastructure to own the product experience for Lightning AI’s GPU cloud, from capacity and provisioning through workload execution, reliability, observability, and customer consumption. This role sits at the intersection of AI infrastructure, cloud platforms, and developer experience. You’ll define how customers discover, provision, configure, and operate GPU compute, while partnering closely with infrastructure engineering and operations to make the platform more reliable, efficient, and scalable. The right candidate understands that infrastructure itself is the product. You should be comfortable reasoning about GPU availability and utilization, cluster provisioning, networking and storage, scheduling and orchestration, workload reliability, and the APIs and workflows that expose these systems to customers. You’ll work across Engineering, Infrastructure, Sales, customers, and the executive team to determine what we build, how infrastructure capabilities are exposed and packaged, and where Lightning AI can differentiate from hyperscalers and other GPU clouds. This is a high-ownership role. You’ll investigate infrastructure and customer problems directly, use data to understand reliability and utilization, make technical tradeoffs with engineers, and drive products from problem definition through launch, adoption, and iteration. You’ll join the Product team and report to our VP of Product. This is a hybrid role based in New York City or San Francisco, with an in-office expectation of two days per week. What You’ll Do - Own the product vision and roadmap for Lightning AI’s GPU cloud infrastructure. - Define how customers discover, provision, configure, and consume GPU compute. - Build product experiences around GPU capacity, clusters, scheduling, networking, storage, and workload execution. - Partner closely with infrastructure and platform engineering to improve availability, reliability, utilization, and performance. - Develop a deep understanding of customer workloads, from experimentation and training through inference, and translate those needs into infrastructure capabilities. - Use infrastructure and product data to identify capacity constraints, reliability issues, performance bottlenecks, and opportunities to improve the customer experience. - Define the APIs, interfaces, and developer workflows through which customers interact with infrastructure. - Make product tradeoffs across customer experience, infrastructure efficiency, reliability, cost, and engineering complexity. - Own pricing, packaging, and consumption models in partnership with Ops, Sales, and Finance. - Partner with GTM on positioning, technical sales conversations, customer feedback, and competitive differentiation. - Define and track metrics across GPU utilization, provisioning, workload reliability, infrastructure consumption, adoption, and retention. - Take products from problem discovery through requirements, launch, adoption, and iteration. What You’ll Need - 7+ years of product management experience, including 3+ years building cloud infrastructure, compute, platform, developer tooling, or AI infrastructure products. - Experience building technical products for developers, infrastructure teams, ML engineers, AI researchers, or other technical users. - Strong understanding of cloud infrastructure concepts including compute, networking, storage, provisioning, scheduling, and orchestration. - Familiarity with GPU infrastructure and the requirements of large-scale AI training, experimentation, or inference workloads. - Technical depth to work directly with engineers on APIs, distributed systems, Kubernetes, workload orchestration, observability, and infrastructure reliability. - Experience using data to understand infrastructure utilization, capacity, reliability, performance, and customer behavior. - Track record of owning technical products from problem definition through launch and adoption. - Strong product judgment and ability to turn complex infrastructure capabilities into simple customer experiences. - Experience with pricing, packaging, consumption-based products, or cloud infrastructure unit economics. - Strong prioritization skills and comfort making tradeoffs across customer needs, reliability, infrastructure efficiency, and engineering investment. - Strong written and verbal communication across technical, customer, and executive audiences. - Comfortable moving quickly and operating in ambiguous environments. - BS in Computer Science, Engineering, or equivalent practical experience. Bonus Points - Experience at a GPU cloud, neocloud, hyperscaler, AI infrastructure company, or infrastructure developer-tools company. - Experience building products involving GPU provisioning, cluster management, capacity management, workload scheduling, or distributed compute. - Familiarity with GPUs, Kubernetes, Slurm, Ray, PyTorch, distributed training, or similar infrastructure technologies. - Experience with reserved capacity, on-demand compute, utilization optimization, or other cloud consumption models. - Experience building infrastructure products that support large-scale AI training and inference. - Experience working closely with data center, hardware, networking, or infrastructure operations teams. We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $200,000 - $250,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We Are Looking For We are seeking an experienced Platform Engineer to partner directly with Lightning customers to architect, build, and deploy production AI systems. Working alongside customer engineering teams, you'll solve complex technical challenges across inference infrastructure, distributed systems, APIs, and AI workflows—building reliable, observable systems that perform at scale. You'll translate customer requirements into production-ready software, turn bespoke solutions into reusable platform capabilities, and help shape the evolution of the Lightning Platform. We're looking for a highly technical, customer-oriented platform engineer who thrives in fast-moving, ambiguous environments where success requires deep software engineering expertise, sound systems thinking, and the ability to collaborate directly with customer engineering teams to bring complex AI applications into production. This role is based in one of our hubs (New York City, San Francisco, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. What You'll Do - Partner directly with customers to design, implement, and deploy end-to-end AI systems and workflows on Lightning’s platform - Translate vague customer objectives into clear technical specifications, proof-of-concepts, and scalable production implementations - Own customer technical engagements end-to-end, from early discovery and architecture through deployment, monitoring, and expansion - Develop and maintain production-grade software systems and services using modern programming languages, with a strong preference for Python - Build reliable, observable systems with strong attention to latency, throughput, quality, scalability, and cost efficiency in production environments - Debug and optimize AI systems across inference infrastructure, model behavior, APIs, and distributed workloads to improve performance and reliability - Work closely with customer engineering teams throughout the full lifecycle of AI deployments, including technical discovery, implementation, deployment, and scaling - Collaborate cross-functionally with Lightning’s product and engineering teams to improve platform capabilities, influence roadmap priorities, and identify opportunities for reusable product improvements - Navigate ambiguity with sound technical judgment, making thoughtful tradeoffs and selecting the right tools and approaches without introducing unnecessary complexity - Demonstrate strong ownership and accountability in execution, with a commitment to delivering high-quality outcomes for both customers and internal teams What You’ll Need Required Qualifications - Strong software engineering experience building production full-stack applications, including modern frontend frameworks such as React and TypeScript, and backend services in Python, Go, or similar programming languages. - Experience working directly with customers in highly technical environments, such as Forward Deployed Engineering, Solutions Engineering, Applied AI Engineering, Technical Product Engineering, or related roles - Familiarity with AI/ML pipelines and the lifecycle of model development, evaluation, deployment, and monitoring - Experience deploying and operating production AI/ML systems in cloud or distributed environments - Familiarity with modern AI infrastructure and tooling such as Docker, Kubernetes, APIs, model serving systems, or distributed inference workloads - Strong communication and collaboration skills, especially when working through complex technical topics with customers, engineers, and cross-functional stakeholders - Ability to translate business needs into technical solutions and drive projects from initial concept through production delivery - Ability to execute effectively in ambiguous, fast-moving, high-growth environments - Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field Nice-to-Haves - Experience building, deploying, or optimizing large-scale AI/ML systems in production environments - Experience with modern AI stacks and tooling such as vLLM, TensorRT, Ray, LangGraph, vector databases, or workflow orchestration systems - Familiarity with inference optimization, distributed systems, or GPU-accelerated workloads - Startup experience or experience operating in highly cross-functional environments - Track record of rapidly shipping proof-of-concepts and production systems while maintaining strong engineering quality - Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, AI, or a related technical field Compensation We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $180,000 - $250,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. About the Role We are looking for a Data Scientist to drive informed decision-making across the company as we become the first fully-integrated neocloud for AI training. This individual will work closely with Product, Engineering, and Sales leadership, answering key questions about product usage, proactively surfacing trends, and supporting our growth in a data-driven way. You will join the Product Team and report to our VP of Product. This is a hybrid role based in New York City, NY with in-office requirements of 2 days per week. What You’ll Do - Partner with Product, Sales, and Engineering to define questions that matter and identify product features and behaviors that drive business outcomes - Analyze small business and enterprise usage patterns to sharpen Ideal Customer Profiles and guide Sales prospecting priorities - Quantify the health of our data center business and test the impact of systematic sales, service, and operations improvements - Work with engineering to design, build, and maintain data pipelines that support timely and accurate analyses - Write SQL (and occasional scripts) to explore data, automate recurring workflows, and answer ad-hoc questions - Design Looker and Data Studio dashboards and reports that make findings easy for stakeholders to act on - Monitor trends and surface opportunities or risks early, before they show up in routine reporting - Help grow a data-driven culture by sharing practices and enabling teams to use analytics tools on their own What You’ll Need - 5+ years in a Data Science or Product Analyst role - Proficient using SQL to query large databases - Strong skills using Python to write scripts and run statistical analysis - Hands-on experience with BI tools (Looker or similar) and cloud data infrastructure — AWS (e.g. S3, EFS) and/or GCP (e.g. BigQuery, Looker Studio) - A strong bias for action, and the ability to make clear decisions and recommendations in the presence of uncertainty - Experience on a growing data team at a startup, preferred - Experience designing and building foundational data models from scratch, preferred We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $160,000 - $245,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For We are looking for a Staff Developer Advocate to serve as a technical champion, voice of the community, and strategic partner for the AI builders on Lighting AI. In this role, you will bridge the gap between our engineering teams and the AI builder community to drive awareness, education, and adoption through engaging technical content delivered across multiple channels. This role reports to the CMO and partners closely with Product Management, Engineering and Marketing teams. What You’ll Do - Create high-impact, educational technical content, including deep-dive tutorials, code samples, technical blogs, and reference architectures showcasing Lightning AI products. - Increase awareness of Lightning AI through engagement with the AI/ML and developer communities through keynote presentations, technical workshops, hackathons, and developer conferences. - Champion the voice of the customer to product and engineering teams. Partner closely with Product and Engineering teams to advocate for developer feedback, influencing product roadmaps and developer experience (DX). - Gaining industry recognition and credibility as a regular attendee and speaker at third party technology conferences, shows and press events. - Mentor junior developer advocates and community managers, fostering a collaborative, high-performing DevRel culture rooted in technical depth and developer empathy. - Establish experimentation and AI-native automation as core operating principles and develop testing frameworks across content form factors, channels, and topics. What You’ll Need - 10+ years of experience in Developer Relations, Developer Advocacy, Solutions Engineering, or Software Engineering within Infrastructure, developer tools, and AI/ML technologies. - Deep hands-on expertise in Python, PyTorch, Tensorflow, and modern AI/ML frameworks (e.g., LLMs, distributed training, vLLM, Hugging Face, CUDA). Solid understanding of cloud infrastructure, GPUs, distributed systems, deployment workflows for AI models, and agentic development - Exceptional public speaking and technical storytelling skills, with a proven track record of keynote speaking, podcasting, community building, and technical content creation for international audiences. - Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing - Ability to work autonomously and manage multiple initiatives across different technical communities - Ability to travel (including internationally when needed). We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $190,000 - $230,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For The Training & Experimentation team at Lightning AI builds the platform that enables developers to experiment at scale and train their own intelligence. Whether customers are training foundation models, fine-tuning open-source models, launching distributed training jobs, or iterating on experiments, this team creates the infrastructure and developer experience that powers every stage of the AI lifecycle. We're looking for a Senior Software Engineer to help design and scale the backend systems that make AI development faster, more reliable, and easier to use. You'll work across distributed training infrastructure, workload orchestration, experiment management, developer tooling, and platform APIs while partnering closely with our Managed Infrastructure, Core Platform, and Optimized Compute teams. This is an opportunity to build systems that support real-world AI workloads at scale while shaping the developer experience used by researchers, startups, and enterprise AI teams around the world. This role is based in one of our San Francisco, NYC, or London office hubs, with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time. What You’ll Do - Design and build backend services that power AI agent orchestration and execution. - Develop scalable APIs and platform capabilities for tool use, workflow orchestration, memory, and state management. - Build reliable infrastructure that enables long-running, distributed AI workflows. - Partner with product, research, and platform engineering teams to bring new agent capabilities into production. - Improve platform reliability, observability, and performance as customer workloads continue to scale. - Evaluate and strengthen technical architecture, engineering processes, and developer tooling. - Maintain high standards for software quality through testing, automation, continuous delivery, and proactive management of technical debt. - Mentor engineers on system design, distributed systems, and backend engineering best practices What You’ll Need - Extensive experience building scalable backend systems using Go, Python, Rust, or similar languages. - Strong understanding of distributed systems, asynchronous processing, APIs, and cloud-native application architecture. - Experience designing and operating production services at scale. - Hands-on experience building backend platforms, developer tools, or infrastructure products. - Familiarity with cloud platforms such as AWS, GCP, or Azure and container technologies including Docker and Kubernetes. - Proven ability to take ownership of large technical initiatives from architecture through production. - Commitment to software quality, automated testing, observability, and continuous delivery. - Strong communication skills and the ability to collaborate effectively across engineering, product, research, and design teams. - Ability to thrive in fast-moving, ambiguous environments while balancing technical excellence with product impact. Compensation We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $180,000 - $250,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For We’re looking for a Senior Product Manager to own Lightning AI’s experimentation and post-training product end to end—from product strategy and roadmap through launch, adoption, pricing, and go-to-market. This is a role focused on how AI researchers and engineers turn an idea into a high-quality, validated model. You’ll define the workflow for running and comparing experiments, managing fine-tuning and reinforcement-learning workloads, evaluating model quality, understanding failures, and selecting the right model or checkpoint for production. You’ll work at the intersection of developer tooling, AI infrastructure, and model quality. The right candidate understands how modern AI teams work today: notebooks, training jobs, experiment trackers, checkpoints, evaluation suites, spreadsheets, and custom internal tooling. You can identify where those workflows break down and turn them into a cohesive, minimal product experience. You should be able to move fluidly between designing an intuitive developer workflow, discussing distributed training and artifact lineage with engineers, evaluating model outputs, and explaining the product’s value to customers and sales teams. This role requires unusually high ownership. You will work directly with engineering, customers, and the executive team; develop strong product opinions; create your own product artifacts; and drive work forward without waiting for another function to define the next step. You will join the Product Team, report to our VP of Product, and work directly with our executive team as we grow this business. This is a hybrid role based in our New York City or San Francisco office, with an in-office expectation of two days per week. What You’ll Do - Own the product vision and roadmap for post-training and experimentation — what we build, what we integrate with, what we don't build, and in what order - Understand how ML engineers and AI researchers actually work today: the jobs they run, the comparisons they make, the failures they debug, and the handoffs that break down between research and production — then build the product that makes that workflow coherent - Develop a strong point of view on where Lightning should build differentiated experiences versus integrate with the existing ecosystem of experiment trackers, evaluation frameworks, data tools, and model registries - Work directly with engineers from problem definition through architecture, implementation, and launch — understand the constraints, help shape the solutions, don't hand off requirements and wait - Use the product yourself; inspect failed workflows, read logs, identify friction, and remove it without waiting for someone to surface it - Own model evaluation as a product function — write evals, assess outputs, and let quality signals drive roadmap decisions - Design pricing and packaging in partnership with Growth and Finance — model unit economics, run experiments, and make calls that affect both adoption and margin - Build workflows that help teams collaborate: share results, compare models, move work from research into production, and maintain enough lineage that decisions can be explained and reproduced - Be the product voice in GTM — sales positioning, technical objection handling, and developer-facing content that builds credibility with ML engineers and platform teams - Define and instrument the metrics that matter across activation, iteration speed, compute consumption, retention, and expansion What You’ll Need - 7+ years of product management experience, including at least 3 years building infrastructure, platform, developer-tooling, or machine-learning products. - Hands-on experience building products for ML engineers, AI researchers, or data scientists. - A detailed understanding of experimentation and post-training workflows, including training jobs, checkpoints, metrics, artifacts, experiment comparison, reproducibility, and model evaluation. - Experience with one or more modern post-training techniques, such as supervised fine-tuning, preference optimization, reinforcement learning, distributed training, or hyperparameter optimization. - Experience designing or working closely with model evaluations. You understand that model quality is multidimensional and know how qualitative and quantitative signals should inform product decisions. - Strong product and interaction judgment. You can simplify technically complex workflows, develop a clear information architecture, and create usable product experiences without depending heavily on a dedicated design function. - Enough technical depth to work directly with infrastructure and ML engineers on APIs, SDKs, execution systems, distributed workloads, observability, data and artifact management, and failure handling. - A record of end-to-end ownership. You do not stop at roadmap definition; you investigate problems personally, create the necessary artifacts, drive decisions, support implementation, validate the result, and help bring the product to market. - Strong prioritization and willingness to say no. You can identify the narrowest valuable product wedge and resist building a broad collection of loosely connected features. - Experience owning pricing, packaging, or consumption-based products, including working with unit economics and making decisions that affect adoption and margin. - Strong written and verbal communication. You are equally comfortable writing a technical product specification, reviewing a developer workflow, presenting to executives, and explaining the product to a customer. - High bias for action and comfort operating in ambiguous, fast-moving environments with limited process and support. - BS in Computer Science, Engineering, or equivalent practical experience. Bonus Points - Experience at an AI infrastructure company, neocloud, hyperscaler ML platform, experiment-tracking company, or developer-tooling startup. - Familiarity with PyTorch, PyTorch Lightning, distributed training, GPU infrastructure, or large-scale fine-tuning. - Experience with tools such as Weights & Biases, MLflow, Hugging Face, Ray, Slurm, Kubernetes, or comparable internal ML platforms. - Experience building collaborative workflows for teams moving models from research through evaluation and production. Compensation We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $160,000 - $275,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We’re Looking For Lightning AI is looking to hire an AI Platform Support Engineer to join our US Customer Experience team, supporting ML engineers running large-scale training and inference workloads across cloud infrastructure, Kubernetes, and GPU platforms in production environments. This role sits at the intersection of ML systems, cloud infrastructure, Kubernetes, and customers. You’ll support engineers training models, deploying inference systems, and scaling GPU workloads in production.You are not a ticket router or traditional support engineer. You are a technical partner to ML teams - helping diagnose failures, improve reliability, and guide customers through complex distributed systems problems. The problems range from Kubernetes scheduling and GPU orchestration to distributed PyTorch failures, inference latency, networking bottlenecks, storage performance, and platform reliability. You’ll gain exposure to a wide variety of real world AI workloads across industries and help shape the infrastructure powering the next generation of ML applications. This role is hybrid out of our Seattle, San Francisco, or New York office hubs, with an in-office requirement of at least 2 days per week and occasional team and company offsites. The role follows a Monday–Friday schedule, with working hours from 8:00 AM to 5:00 PM PST. We are not able to provide visa sponsorship for this role at this time. What You'll Do Work Directly With ML Engineers - Partner directly with customer engineering teams running training and inference workloads in production - Help customers diagnose and resolve complex distributed systems and ML infrastructure issues - Act as a technical advisor during high impact incidents and platform degradation events - Translate infrastructure level issues into actionable guidance for ML engineers - Build credibility with customers through strong technical reasoning and clear communication Debug ML Infrastructure & Distributed Workloads - Investigate failures involving distributed training, Kubernetes orchestration, GPU allocation, networking, and storage systems - Troubleshoot PyTorch, CUDA, NCCL, and inference serving related issues - Analyze logs, metrics, traces, and system behavior to isolate root causes - Debug containerized workloads running across Kubernetes and bare metal GPU environments - Support customers scaling workloads across multi node GPU systems - Diagnose performance bottlenecks involving compute, memory, networking, or storage Improve Reliability & Platform Operations - Identify recurring patterns across customer issues and drive long term reliability improvements - Contribute to post incident reviews and operational improvements - Build internal tooling, automation, documentation, and runbooks - Partner closely with infrastructure, networking, and platform engineering teams - Help improve observability, operational visibility, and troubleshooting workflows - Improve the customer experience through better processes and technical guidance What This Role Is Not To set clear expectations: - This is not a traditional help desk or ticket routing support role - This is not purely customer success or account management - This is not a backend engineering role - This is not a passive escalation position This role is for engineers who enjoy solving difficult technical problems while working closely with other engineers. What You’ll Need Required Qualifications Infrastructure & Systems - Strong software engineering and systems troubleshooting background - Experience with Kubernetes and containerized environments - Linux systems knowledge, including networking, storage, process management, and performance tuning - Experience with cloud infrastructure and distributed systems - Experience with observability and debugging tools such as Prometheus, Grafana, or OpenTelemetry ML Infrastructure Experience - Hands on experience operating machine learning workloads in production or research environments - Experience with distributed ML systems and tooling such as PyTorch, CUDA, or NCCL - Familiarity with GPU infrastructure and orchestration - Experience troubleshooting performance, reliability, or scaling issues in ML infrastructure - Understanding of the operational challenges involved in running ML systems at scale Collaboration - Strong communication skills and ability to work directly with highly technical customers and engineering teams - Comfortable operating in fast moving, highly ambiguous environments - Enjoys solving complex technical problems collaboratively Ideal Experience - Experience with large scale model training or distributed inference systems - Familiarity with Ray, Kubeflow, Slurm, or similar distributed scheduling platforms - Experience with InfiniBand, RDMA, or high-performance networking - Experience operating bare metal infrastructure - Familiarity with storage systems commonly used in ML environments - Experience working at an AI infrastructure, cloud, MLOps, or developer tooling company - Contributions to platform engineering, developer infrastructure, or operational tooling projects - Experience writing automation, tooling, or scripts in Python or similar languages We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $115,000 - $140,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We’re Looking For Lightning AI is looking to hire an AI Platform Support Engineer to join our APAC Customer Experience team, supporting ML engineers running large-scale training and inference workloads across cloud infrastructure, Kubernetes, and GPU platforms in production environments. This role is not a ticket router or traditional support engineer. You are a technical partner to ML teams - helping diagnose failures, improve reliability, and guide customers through complex distributed systems problems.The problems range from Kubernetes scheduling and GPU orchestration to distributed PyTorch failures, inference latency, networking bottlenecks, storage performance, and platform reliability. You’ll gain exposure to a wide variety of real world AI workloads across industries and help shape the infrastructure powering the next generation of ML applications. This role is remote and open to candidates based in the Philippines or Singapore. We are hiring for a Sunday-Wednesday shift schedule, with working hours from 7:00 AM to 5:00 PM local time (UTC+8). What You'll Do Work Directly With ML Engineers - Partner directly with customer engineering teams running training and inference workloads in production - Help customers diagnose and resolve complex distributed systems and ML infrastructure issues - Act as a technical advisor during high impact incidents and platform degradation events - Translate infrastructure level issues into actionable guidance for ML engineers - Build credibility with customers through strong technical reasoning and clear communication Debug ML Infrastructure & Distributed Workloads - Investigate failures involving distributed training, Kubernetes orchestration, GPU allocation, networking, and storage systems - Troubleshoot PyTorch, CUDA, NCCL, and inference serving related issues - Analyze logs, metrics, traces, and system behavior to isolate root causes - Debug containerized workloads running across Kubernetes and bare metal GPU environments - Support customers scaling workloads across multi node GPU systems - Diagnose performance bottlenecks involving compute, memory, networking, or storage Improve Reliability & Platform Operations - Identify recurring patterns across customer issues and drive long term reliability improvements - Contribute to post incident reviews and operational improvements - Build internal tooling, automation, documentation, and runbooks - Partner closely with infrastructure, networking, and platform engineering teams - Help improve observability, operational visibility, and troubleshooting workflows - Improve the customer experience through better processes and technical guidance What This Role Is Not To set clear expectations: - This is not a traditional help desk or ticket routing support role - This is not purely customer success or account management - This is not a backend engineering role - This is not a passive escalation position This role is for engineers who enjoy solving difficult technical problems while working closely with other engineers. What You’ll Need Required Qualifications Infrastructure & Systems - Strong software engineering and systems troubleshooting background - Experience with Kubernetes and containerized environments - Linux systems knowledge, including networking, storage, process management, and performance tuning - Experience with cloud infrastructure and distributed systems - Experience with observability and debugging tools such as Prometheus, Grafana, or OpenTelemetry ML Infrastructure Experience - Hands on experience operating machine learning workloads in production or research environments - Experience with distributed ML systems and tooling such as PyTorch, CUDA, or NCCL - Familiarity with GPU infrastructure and orchestration - Experience troubleshooting performance, reliability, or scaling issues in ML infrastructure - Understanding of the operational challenges involved in running ML systems at scale Collaboration - Strong communication skills and ability to work directly with highly technical customers and engineering teams - Comfortable operating in fast moving, highly ambiguous environments - Enjoys solving complex technical problems collaboratively Nice-to-Haves - Experience with large scale model training or distributed inference systems - Familiarity with Ray, Kubeflow, Slurm, or similar distributed scheduling platforms - Experience with InfiniBand, RDMA, or high-performance networking - Experience operating bare metal infrastructure - Familiarity with storage systems commonly used in ML environments - Experience working at an AI infrastructure, cloud, MLOps, or developer tooling company - Contributions to platform engineering, developer infrastructure, or operational tooling projects - Experience writing automation, tooling, or scripts in Python or similar languages Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. Machie Learning System Engineer Team: Solutions Engineering Location: [NYC] - Hybrid Reports to: Head of Solution Engineering About Lightning AI Lightning AI is building the platform and infrastructure that make it dramatically easier for teams to develop, train, deploy, and scale AI systems. As the company behind PyTorch Lightning, and following our merger with Voltage Park, we bring together developer-first AI tooling with high-performance compute infrastructure for researchers, startups, and enterprises building at the frontier of AI. We operate with a simple set of values: Move Fast, Focus, Balance, Craftsmanship, and Minimal. We care about people who can operate with urgency, solve hard problems directly, and build with high standards without creating unnecessary complexity. What You'll Do As a customer-facing Machine Learning Solutions Engineer, you will serve as a key technical partner to our go-to-market organization, translating complex customer requirements into scalable AI and machine learning solutions on the Lightning AI platform. You will lead technical discovery, product demonstrations, proof-of-concepts, and post-sales engagements, helping customers successfully evaluate, deploy, and expand their use of the platform. Working at the intersection of customers, sales, product, and engineering, you will bring deep technical expertise to the sales process while translating real-world customer needs into actionable product insights. This highly cross-functional role is critical to accelerating customer adoption, influencing product direction, and demonstrating the business and technical value of Lightning A I. Qualifications - 5-7 years in solutions engineering, sales engineering, field engineering, technical pre-sales, ML infrastructure, or related technical leadership roles. - Deep understanding of complex technical selling, enterprise evaluation cycles, POCs, executive alignment, and cross-functional deal execution. - Credibility with technical buyers and the ability to simplify AI, infrastructure, platform, and architecture concepts for senior business stakeholders. - Experience partnering closely with Sales, Product, Engineering, Customer Success, Partnerships, Marketing, and Revenue Operations. - Strong talent judgment and a track record of hiring, coaching, and developing technical field leaders. - A high-accountability operating style with strong forecasting discipline, field inspection, and customer follow-through. - Comfort leading in a fast-moving startup where the market, product, and GTM motion are evolving quickly. Nice-to-Haves - Experience in AI infrastructure, cloud infrastructure, developer platforms, MLOps, data platforms, GPUs, or high-performance compute. - Experience building a solutions engineering organization through rapid growth or category creation. - Hands-on technical background in software engineering, ML engineering, platform engineering, infrastructure, or data systems. - Experience supporting both direct enterprise sales and partner/channel technical motions. Why Lightning AI - You will help define how companies build and scale real AI systems, not just sell another generic software product. - You will work with technical customers and teammates who care about speed, clarity, craft, and direct problem-solving. - You will join a company with developer credibility, infrastructure ambition, and a GTM motion that is still early enough to shape. We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $160,000 - $180,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For We are looking for a Senior Application Security Engineer to help secure our AI, machine learning, and inference platforms. This is a hands on technical role focused on building security into modern AI infrastructure, inference systems, and developer platforms. You will work closely with platform engineers, ML engineers, and infrastructure teams to identify risks, design secure architectures, and build security tooling that enables engineers to move quickly and safely. This role is execution focused. You will drive technical implementation, perform deep security reviews, and help build out our application security capabilities alongside the CISO and engineering leadership. This role is hybrid out of our Seattle or San Francisco offices, with an in-office requirement of at least 2 days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this role at this time. What You’ll Do Secure AI and Machine Learning Systems - Perform threat modeling across AI platforms, inference services, and ML pipelines - Identify risks such as prompt injection, model extraction, adversarial inputs, and data leakage - Review model serving architectures and inference pipelines - Partner with ML engineers to secure training, fine tuning, and deployment workflows - Help design isolation and security controls for multi tenant AI workloads Application Security Engineering - Perform architecture and design security reviews - Conduct targeted code reviews for high risk components - Identify security gaps in APIs, micro-services, and distributed systems - Build secure patterns for authentication, authorization, and service to service communication - Help engineering teams implement secure defaults and guardrails Inference Platform Security - Secure customer facing inference APIs and services - Protect against abuse, model extraction, and adversarial behavior - Design rate limiting, isolation, and workload protection controls - Build monitoring and detection for anomalous inference behavior AI Supply Chain and Model Security - Evaluate open source models and dependencies - Secure model artifacts and distribution pipelines - Implement integrity validation and provenance controls - Help secure container images and runtime environments Security Automation and Tooling - Build security automation for AI and application pipelines - Integrate security scanning into CI/CD workflows - Develop tooling to help engineers detect and fix issues early - Improve developer experience with security guardrails What You'll Need Required Experience - Strong background in application security engineering - Experience performing threat modeling and architecture reviews - Experience securing APIs and distributed systems - Experience working in cloud environments such as AWS, GCP, or Azure - Experience with containers and Kubernetes - Strong scripting or programming skills such as Python, Go, or similar - Experience working closely with engineering teams to implement security improvements AI and Machine Learning Experience - Experience securing ML pipelines, inference systems, or data platforms - Familiarity with risks such as prompt injection, model extraction, and adversarial inputs - Experience reviewing model serving architectures - Understanding of training data security and data leakage risks It's a Strong Plus If You Have - Red team or offensive security experience - Experience crafting payloads and evaluating CVEs for exploitability in diverse environments - Experience with GPU infrastructure or high performance computing - Experience with Hugging Face, PyTorch, TensorFlow, or similar frameworks - Experience with LLM systems, RAG pipelines, or agent frameworks - Experience building security automation pipelines - Experience securing multi tenant infrastructure What Success Looks Like - Security is embedded into AI platform architecture early - Engineering teams ship quickly with secure defaults - Inference platforms are resilient against abuse and extraction - Model pipelines are secure and auditable - Security tooling scales with engineering growth Why This Role Matters This role sits at the intersection of application security, AI infrastructure, and developer platforms. You will help define how we secure modern AI systems while enabling engineers to move quickly and safely. You will work closely with engineering leadership and the CISO to build practical, scalable security capabilities that support rapid innovation in AI and machine learning. Compensation We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $180,000 - $220,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For We're looking for a curious, adaptable Research Engineer who enjoys solving difficult technical problems and building across the AI stack to join our Research Engineering function here at Lightning. This role is intentionally broad, with a primary focus on post-training models and the systems that support it. You’ll work across ML engineering, software engineering, and AI systems to improve how we develop, train, evaluate, and deploy models. As team priorities evolve, you’ll have opportunities to contribute across developer tooling, infrastructure, and platform capabilities that help researchers and customers develop, train, and deploy AI more effectively. We're looking for someone who enjoys learning new technologies, working across multiple technical domains, and tackling whatever problems have the greatest impact. Strong software engineering fundamentals, curiosity, and a willingness to continuously learn are more important than already being an expert in every area of AI systems. If you've spent meaningful time building AI projects, experimenting with PyTorch, contributing to open source, reproducing research, or exploring new ideas because you're genuinely interested, we'd love to hear about it. This role is hybrid with a minimum of 2 in-office days per week in San Francisco, Seattle, NYC, or London, with fully remote work considered for candidates outside of our office hub locations. All employees participate in occasional team and company offsites. What You'll Do - Develop and post-train models, while building and improving the systems and workflows needed to run, evaluate, debug, and scale training workloads. - Build software, tooling, and platform capabilities that improve how researchers, developers, and customers develop, train, and deploy AI systems. - Contribute to Lightning’s open-source projects by building new features, improving existing functionality, and collaborating with the broader developer community. - Work across deep learning systems, developer tooling, backend services, and platform infrastructure to solve a wide variety of engineering challenges. - Collaborate directly with customers to understand real-world AI workloads, investigate technical challenges, and translate those learnings into reusable product and platform improvements. - Prototype new ideas, evaluate approaches, and turn successful experiments into production-quality software. - Partner closely with research, product, and infrastructure engineering teams to improve developer experience, AI workflows, and platform capabilities. - Debug complex technical problems spanning machine learning, distributed systems, backend software, and developer tooling. - Learn new technologies quickly and contribute wherever your skills can have the greatest impact as team priorities evolve. What You’ll Need Required Qualifications - Experience building, training, evaluating, or experimenting with deep learning models. - Hands-on experience with deep learning frameworks such as PyTorch. - Strong software engineering fundamentals building software and debugging and problem-solving skills, with the ability to investigate unfamiliar technical challenges. - Curiosity, initiative, and a demonstrated ability to quickly learn new technologies and technical domains. - Excellent communication and collaboration skills, including the ability to work effectively across research, product, infrastructure, and customer-facing engagements. - Comfortable working in fast-moving, ambiguous environments where priorities evolve over time. - Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Ideal Experience - Experience with model training at scale, including distributed training, performance optimization, training stability, and/or large-scale experimentation. - Experience with transformer-based language models or modern generative AI systems. - Experience with distributed systems, cloud infrastructure, or large-scale machine learning workloads. - Familiarity with technologies such as CUDA, Hugging Face, DeepSpeed, FSDP, Triton, vLLM, SGLang, NVIDIA Molt, or related AI infrastructure tooling. - Experience contributing to open-source software or conducting research through academia, industry, or meaningful independent projects. - Startup experience or experience working on highly cross-functional engineering teams. - Master's degree or higher in Computer Science, Machine Learning, AI, or a related field. Compensation We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $165,000 - $310,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: - Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping. - Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. - Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together. - Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. - Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. - Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact. What We're Looking For We're are looking for an experienced Senior Research Engineer who has built, trained, and optimized modern transformer-based language models to join our Research Engineering function at Lightning. This role will focus on advancing how large language models are trained, fine-tuned, evaluated, and deployed across Lightning AI's platform and real-world customer workloads. It will work across model training, post-training, PyTorch, distributed systems, and AI systems engineering to improve model quality, training efficiency, and developer productivity while collaborating closely with researchers, infrastructure engineers, and customers. We're looking for someone who enjoys turning cutting-edge research into production systems. You have deep experience training and improving transformer-based language models, strong software engineering fundamentals, and a passion for solving difficult problems across model training, evaluation, and AI systems. Rather than building applications on top of existing models, you're motivated by improving the models themselves and the systems that power them. Our work spans models that power the Lightning AI platform, customer-specific model workloads, and research that translates into reusable training and platform capabilities. This role is hybrid with a minimum of 2 in-office days per week in San Francisco, Seattle, NYC, or London, with fully remote work considered for candidates outside of our office hub locations. All employees participate in occasional team and company offsites. What You'll Do - Design, build, and optimize training and post-training pipelines for large language models. - Improve model quality through supervised fine-tuning, continued pretraining, preference optimization, reinforcement learning, evaluation, and experimentation. - Build and improve PyTorch-based training infrastructure, tooling, and developer workflows. - Optimize distributed training across multi-GPU environments by improving throughput, memory efficiency, scalability, and GPU utilization. - Investigate model training issues, including convergence, instability, communication overhead, and performance bottlenecks. - Design evaluation methodologies, benchmark models, analyze failure modes, and acheive model improvements through experimentation. - Collaborate directly with customers to understand real-world workloads and translate those learnings into improvements across Lightning AI's research platform. - Partner closely with research, infrastructure, and platform engineering teams to build production-ready AI systems. - Contribute to open-source projects through new features, tooling improvements, documentation, and community engagement What You’ll Need Required Qualifications - Significant experience training, fine-tuning, evaluating, and/or optimizing transformer-based language models using PyTorch. - Experience with modern LLM training and post-training techniques such as continued pretraining, SFT, RLHF, preference optimization (DPO, PPO, GRPO), reward modeling, or similar approaches. - Strong understanding of distributed training and multi-node systems, with experience improving training performance, scalability, and/or efficiency. - Strong software engineering fundamentals, including building production-quality Python software and research tooling. - Experience designing experiments, evaluating model performance, and debugging complex training and/or optimization issues. - Excellent communication and collaboration skills, including the ability to work effectively across research, product, infrastructure, and customer-facing engagements. - Comfortable working in fast-moving, ambiguous environments where priorities evolve over time. - Master's degree, PhD, or equivalent industry experience in Machine Learning, AI, Computer Science, or a related field Ideal Experience Experience with one or more of the following: - DeepSpeed, FSDP, Megatron-LM, Hugging Face Transformers, TRL, PEFT, Lightning Fabric, NVIDIA Molt, or similar training frameworks. - CUDA, Triton, vLLM, SGLang, TensorRT, or other AI systems and performance optimization technologies. - GPU performance optimization, mixed precision, memory optimization, or distributed training optimization. - Open-source contributions, research publications, or production AI platforms supporting large-scale training or inference workloads. - Startup experience or experience working on highly cross-functional engineering teams. Compensation We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $165,000 - $310,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: - Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. - Meaningful Equity: RSUs that give employees a stake in the company's long-term success. - Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). - Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. - Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. - Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. - Professional Development: Annual learning and development allowance to support your professional growth. - Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. - Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. - Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. - In-Office Meals: Complimentary meals at our office hubs. Benefits may vary by location, team, and role. At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.