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Senior Finance Associate
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.
Senior Backend Engineer, Managed Services
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.
Senior Accountant - General Ledger
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.
Not seeing the right opportunity right now?
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.
Network Security Engineer
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.
Head of Growth Marketing
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.
Head of Global Events & Field Marketing
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.
Global Tax Lead
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.
Frontend Engineer
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.
Financial Analyst
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.
Data Center Technician
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.
Data Center Site Operations Manager
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.
Compensation Business Partner
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.
Staff/Sr Staff Electrical Design Engineer
Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads. Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter! If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders. Lightmatter is (re)inventing the future of computing with light! Staff Electrical Design Engineer We are looking for a Staff Electrical Design Engineer to contribute to the development of the next generation of silicon photonics based artificial intelligence accelerators and interconnect products. In this role, you will lead board and system solutions that leverage Lightmatter’s technology to enable advanced machine learning, artificial intelligence, and large-scale interconnect platforms. You will lead and own HW systems efforts, collaborate closely with teams across hardware and software, including mechanical, packaging, and IC engineering, to design, integrate, troubleshoot and release system-level products at the leading edge of innovation. Responsibilities - Collaborate with the system architect and technical leads to define system-level hardware requirements and spec - Electrical design of power, memory, and interconnect circuits, working in both the analog and digital domains - Identify electrical and optical components to fit the application based on specifications provided by the IC and photonics engineering teams - Starting from fundamental concepts and system considerations you will develop conceptual designs, physical modeling, and simulations of chip-modules and systems - Oversee and review PCB layout designs, providing complete and detailed electrical constraint rules - Ensure the board and system is manufacturable to the latest technologies with high yield and robustness - Qualification of chip and system electrical properties - Perform laboratory validation of boards and systems - Lead integration with mechanical, software, IC, and other related teams - Support contract manufacturing during prototype and production phase to resolve any issues - Work with component vendors and other supply partners - Research new components, processes, and technologies to meet product goals Qualifications - Bachelor’s Degree in Electrical Engineering - 8+ years of related experience in system-level electrical design, having successfully taken several products from concept to production. - Proficient in schematic design using Cadence, Mentor, or Altium tool set (Altium preferred) - In depth knowledge on VRMs, high speed SERDES, CPUs and various interfaces/protocols such as PCIe, Ethernet, QSPI, I3C, I2C, etc - 5+ years of experience in lab experimentation, non-intrusive circuit debugging, and leading cross-functional integration teams - Experience in working with thermal solutions for integrated circuits and their board level systems - Familiar with Product Lifecycle Management tools, e.g. Oracle Agile, Arena, or Omnify PLM with an understanding of BOM and ECO management Preferred Qualifications - Experience designing electrical systems for networking or similar industries - Knowledge of integrated circuit layout, and designing a carrier PCBA for it - Knowledge of common manufacturing and design processes - Familiarity with Systems Engineering principles - Familiar with 3D Mechanical CAD tools, e.g. Solidworks or AutoCAD This role is open to two levels Staff and Sr Staff. Leveling placement and salary range is dependent on education, years of experience, and interview performance. We offer competitive compensation. The base salary range for this role determined based on location, experience, educational background, and market data. Salary Range: total compensation goes beyond base salary, it also includes a new hire equity grant, annual performance-based equity, and other rewards that recognize your impact and contribution. $186,000 - $250,000 USD Benefits - Comprehensive Health Care Plan (Medical, Dental & Vision) - Retirement Savings Matching Program - Life Insurance (Basic, Voluntary & AD&D) - Generous Time Off (Vacation, Sick & Public Holidays) - Paid Family Leave - Short Term & Long Term Disability - Training & Development - Commuter Benefits - Flexible, hybrid workplace model - Equity grants (applicable to full-time employees) Benefits eligibility may vary depending on your employment status and location. Lightmatter recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. Export Control Candidates should have capacity to comply with the federally mandated requirements of U.S. export control laws.
Principal Hardware Systems Technical Lead
Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads. Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter! If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders. Lightmatter is (re)inventing the future of computing with light! We are looking for a talented Principal Engineer to provide technical leadership to the Hardware Systems organization to help us build the next generation of silicon photonics based artificial intelligence accelerators and interconnect products. As a Principal Hardware Systems Technical Lead, you will be responsible for delivering board and system solutions using Lightmatter’s innovative technology to create state of the art machine learning/artificial intelligence or massive scale-out interconnect platforms. You will work closely with our hardware and software teams, including mechanical, packaging, and IC engineering, to design and build leading edge system level products. Responsibilities - Technical leadership and mentorship of team members to drive excellence and elevate the teams collective output - Own and drive multiple complex projects and hardware systems development throughout the full lifecycle, from concept through production - Collaborate with system architects and technical leads to define and develop hardware systems for photonic AI infrastructure applications - Define, develop, and review PCBAs to meet system-level electrical, power, and interface requirements - Lead hands-on integration, verification, and validation across bench bring-up, EVT/DVT, and production release - Drive cross-functional collaboration with firmware, photonics, packaging, and software teams to resolve dependencies and manage tradeoffs - Maintain thorough hardware documentation for schematics, design reviews, test plans, validation reports, and other engineering documentation - Research components and technologies to meet current and next-generation product goals and contribute to the technology roadmap, and improve development processes and engineering best practices - Mentor and provide technical guidance to engineers on the team Qualifications - Bachelor's degree in Electrical Engineering or related discipline with 15+ years of relevant industry experience - Demonstrated track record of taking multiple complex hardware systems from concept through production - Deep knowledge of VRMs, high-speed SerDes, and interfaces/protocols including PCIe, Ethernet, SPI/QSPI, I3C, I2C, and JTAG - Experience leading multi-disciplinary development, integration, and troubleshooting across electrical, mechanical, and firmware domains - Strong ownership mindset with the ability to work in ambiguous and dynamic environments Preferred Qualifications - Experience designing hardware systems for AI/HPC data center infrastructure, optical transceivers, or silicon photonics products - Experience with Systems Engineering methodology, including requirements definition and traceability, FMEA, and EVT/DVT/PVT planning and execution - Familiarity with advanced packaging technologies and high-density PCB design We offer competitive compensation. The base salary range for this role determined based on location, experience, educational background, and market data. Salary Range: total compensation goes beyond base salary, it also includes a new hire equity grant, annual performance-based equity, and other rewards that recognize your impact and contribution. $217,000 - $308,000 USD Benefits - Comprehensive Health Care Plan (Medical, Dental & Vision) - Retirement Savings Matching Program - Life Insurance (Basic, Voluntary & AD&D) - Generous Time Off (Vacation, Sick & Public Holidays) - Paid Family Leave - Short Term & Long Term Disability - Training & Development - Commuter Benefits - Flexible, hybrid workplace model - Equity grants (applicable to full-time employees) Benefits eligibility may vary depending on your employment status and location. Lightmatter recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. Export Control Candidates should have capacity to comply with the federally mandated requirements of U.S. export control laws.
Hardware Systems Technical Lead
Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads. Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter! If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders. Lightmatter is (re)inventing the future of computing with light! We are looking for a talented engineer to provide technical leadership to the Hardware Systems organization to help us build the next generation of silicon photonics based artificial intelligence accelerators and interconnect products. As a Hardware Systems Technical Lead, you will be responsible for delivering board and system solutions using Lightmatter’s innovative technology to create state of the art machine learning/artificial intelligence or massive scale-out interconnect platforms. You will work closely with our hardware and software teams, including mechanical, packaging, and IC engineering, to design and build leading edge system level products. Responsibilities - Collaborate with system architects and technical leads to define and develop hardware systems for photonic AI infrastructure applications - Own hardware systems development throughout the full lifecycle, from concept through production - Define, develop, and review PCBAs to meet system-level electrical, power, and interface requirements - Lead hands-on integration, verification, and validation across bench bring-up, EVT/DVT, and production release - Drive cross-functional collaboration with firmware, photonics, packaging, and software teams to resolve dependencies and manage tradeoffs - Maintain thorough hardware documentation for schematics, design reviews, test plans, validation reports, and other engineering documentation - Research components and technologies to meet current and next-generation product goals and contribute to the technology roadmap, and improve development processes and engineering best practices - Mentor and provide technical guidance to engineers on the team Qualifications - Bachelor's degree in Electrical Engineering or related discipline with 12+ years of relevant industry experience - Demonstrated track record of taking multiple complex hardware systems from concept through production - Deep knowledge of VRMs, high-speed SerDes, and interfaces/protocols including PCIe, Ethernet, SPI/QSPI, I3C, I2C, and JTAG - Experience leading multi-disciplinary development, integration, and troubleshooting across electrical, mechanical, and firmware domains - Strong ownership mindset with the ability to work in ambiguous and dynamic environments Preferred Qualifications - Experience designing hardware systems for AI/HPC data center infrastructure, optical transceivers, or silicon photonics products - Experience with Systems Engineering methodology, including requirements definition and traceability, FMEA, and EVT/DVT/PVT planning and execution - Familiarity with advanced packaging technologies and high-density PCB design We offer competitive compensation. The base salary range for this role determined based on location, experience, educational background, and market data. Salary Range: total compensation goes beyond base salary, it also includes a new hire equity grant, annual performance-based equity, and other rewards that recognize your impact and contribution. $217,000 - $256,000 USD Benefits - Comprehensive Health Care Plan (Medical, Dental & Vision) - Retirement Savings Matching Program - Life Insurance (Basic, Voluntary & AD&D) - Generous Time Off (Vacation, Sick & Public Holidays) - Paid Family Leave - Short Term & Long Term Disability - Training & Development - Commuter Benefits - Flexible, hybrid workplace model - Equity grants (applicable to full-time employees) Benefits eligibility may vary depending on your employment status and location. Lightmatter recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. Export Control Candidates should have capacity to comply with the federally mandated requirements of U.S. export control laws.
Electrical Design Engineer
Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads. Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter! If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders. Lightmatter is (re)inventing the future of computing with light! About this Role In this role, you will contribute to the development of board and system solutions that leverage Lightmatter's technology to enable advanced machine learning, artificial intelligence, and large-scale interconnect platforms. You will collaborate closely with teams across hardware and software to design, bring up, and validate system-level products. Responsibilities - Design and develop power, control, mixed-signal, and high-speed interconnect circuits to meet system requirements - Apply SI/PI, DfX, and industry best practices to meet performance and quality needs - Perform board bring-up, verification, integration, and troubleshooting - Develop and execute test plans to characterize and validate board and system performance - Collaborate with cross-functional teams from concept design through integration and production - Work with component vendors, contract manufacturers, and other partners - Research new components, processes, and technologies to meet product goals - Contribute to design reviews and maintain documentation including design notes, test reports, and specifications Qualifications - Bachelor's Degree in Electrical Engineering and 5+ years of related experience; or Master's Degree with 3+ years of related experience - Proficient in schematic design using Altium or equivalent (Altium preferred) - Experience performing lab experiments, board bring-up, tests, and analysis - Familiarity with Product Lifecycle Management processes and tools (Arena preferred) Preferred Qualifications - Familiarity with electrical systems in the networking or similar industries - Experience with common design, manufacturing, and test processes - Experience with cross-functional development and troubleshooting - Familiarity with signal integrity (SI), power integrity (PI), and DfX considerations - Experience with high-speed interfaces such as PCIe, DDR, Ethernet, or SerDes - Experience with Python or scripting languages for test automation and lab tooling We offer competitive compensation. The base salary range for this role determined based on location, experience, educational background, and market data. Salary Range: total compensation goes beyond base salary, it also includes a new hire equity grant, annual performance-based equity, and other rewards that recognize your impact and contribution. $149,000 - $206,000 USD Benefits - Comprehensive Health Care Plan (Medical, Dental & Vision) - Retirement Savings Matching Program - Life Insurance (Basic, Voluntary & AD&D) - Generous Time Off (Vacation, Sick & Public Holidays) - Paid Family Leave - Short Term & Long Term Disability - Training & Development - Commuter Benefits - Flexible, hybrid workplace model - Equity grants (applicable to full-time employees) Benefits eligibility may vary depending on your employment status and location. Lightmatter recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. Export Control Candidates should have capacity to comply with the federally mandated requirements of U.S. export control laws.
Corporate Security Engineer
ABOUT US Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 2,100+ customers across 80+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $200M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI, Graceview, Cadastral, and Wexler. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. - We lean in: ownership over titles, outcomes over intentions. - We fight for excellence: high standards, direct, ego-free feedback. - We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. ABOUT THE TEAM The IT and AI Enablement function exists to make Legora itself run as well as the product we sell: secure, automated, and compounding over time. Legora builds AI that law firms trust with their most sensitive work, which makes us a target for capable, well-resourced adversaries. Information Security keeps that trust intact, builders-first and AI-first: we ship controls as software and let agents take the first pass, so the human work is the judgment layer. We are not looking for someone to administer consoles and work a compliance checklist. The Corporate Security Engineer owns the security of Legora’s own environment — the identities, devices, SaaS, and AI tools every employee depends on — the operating root of trust the rest of the company connects through. WHAT YOU’LL BE DOING - Own non-human identity — the service accounts, agents, and workloads that scale faster than headcount. Keep them inventoried and owned, scoped tightly, running on short-lived and secretless credentials, with a path to revoke at scale. - Set the authorization model for agents — scoped, revocable, and auditable: least-privilege at each MCP call, no token passthrough, and delegated authority rather than standing access. - Secure how Legora uses AI — govern employee use of LLMs and agents, keep client data on sanctioned paths, and make the safe path the fast one as teams adopt AI. - Advance identity for people — phishing-resistant MFA (passkeys / FIDO2), SSO, SCIM lifecycle, and least-privilege / just-in-time access across Google Workspace, Slack, Notion, and the SaaS estate — and cover the attack classes that defeat MFA alone — session / token theft, adversary-in-the-middle phishing, OAuth consent abuse — with continuous access evaluation to revoke live sessions on risk. - Raise the bar on SaaS security posture (SSPM) — configurations held to clear benchmarks, and risky OAuth grants, over-permissioned or stale admins, shadow SaaS / AI, and config drift surfaced continuously — the technical lens on the portfolio the SaaS Enablement & Governance Lead holds the system of record for. - Own endpoint and device trust — an Apple-first fleet on MDM and EDR, with access gated on device health via zero-trust / conditional access, partnering with IT Systems and Workplace Technology, who run the fleet and network. - Own data-protection controls (DLP) across endpoint, SaaS, browser, and AI-egress, run access reviews, and surface insider-risk signals to Detection & Response for investigation with People and Legal. - Build controls and guardrails as code (Python + Terraform / IaC) so security scales, tracked against agent-identity and MFA coverage, risky OAuth grants closed, and mean time to remediate and revoke. WHO YOU ARE - 4+ years in corporate, enterprise, or IT security, with full ownership of security decisions and scope end to end. - A builder first — you write production-grade code (Python at least) and treat controls, automations, and detections as software you own, not tickets you close. - AI-first by conviction — you already reach for agents and LLMs (Claude Code and the like) to compress toil, and you have a clear view on where they’re trustworthy and where a human owns the call. Show us something you automated that used to eat your week. - Identity-, SaaS-, and AI-centric in how you think about security — the modern attack surface (identity as the new perimeter, the SaaS estate, endpoints, and the AI tools employees use), not network-perimeter or compliance-checklist. - Fluent with modern identity — an enterprise IdP (Okta and/or Microsoft Entra ID) and Google Workspace, SSO and SCIM lifecycle, phishing-resistant MFA, and the protocols underneath (SAML, OAuth 2.0, OIDC). - Energised by the threat model — you find it motivating, not daunting, that securing an AI company law firms trust with their most sensitive work means well-resourced adversaries and novel attack surface. NICE TO HAVE - Securing AI systems — prompt-injection and exfiltration detection, agent / tool-use telemetry, and the OWASP LLM Top 10. - Identity threat detection (ITDR) and SaaS-identity tooling — Okta / Microsoft Entra ID Protection and e.g. Push Security. - Non-human identity and secrets — service-account governance, workload identity, and secrets management (e.g. 1Password, HashiCorp Vault). - Agent authorization — delegated authority and short-lived, narrowly-scoped tokens (OAuth token exchange / identity chaining), and MCP enterprise-managed authorization. - Endpoint at scale — Jamf (Apple) and Intune (Windows), with modern EDR. - Security automation and guardrails-as-code — deterministic workflows and SOAR (e.g. Tines, Torq). - DLP and insider-risk tooling — modern data-loss prevention and UEBA. - SOC 2 / ISO 27001 control implementation and compliance-as-code alongside engineering — GRC owns the certifications, you build and evidence the technical controls. - Experience with Okta, Microsoft Entra ID, 1Password, CrowdStrike, Jamf, Lumos, and our AI-native ITSM (Serval). WHAT’S IN IT FOR YOU - Global collaboration: Partner with teams and clients across Europe, APAC, and North America. - Competitive package: Comprehensive salary, benefits, and tools for success. - Meaningful work: Your efforts shape how thousands of lawyers use AI daily. - In-person environment: Union Square office designed for ambitious builders and company provided lunch daily. - Benefits & Perks: We invest in our people with a comprehensive, thoughtfully designed benefits package: Medical, Dental & Vision - Multiple medical plan options through Aetna and Kaiser Permanente - HSA or Healthcare FSA (based on plan selection) - Dental plans via MetLife - Vision plans via Vision Care Family Support - Generous parental leave - Free access to Maven Clinic - Dependent Care FSA - Free One Medical membership for employees and dependents Additional Perks - Pre-tax commuter benefits - Life Insurance + STD/LTD - 401(K) with generous company match - Unlimited PTO - Robust voluntary benefits, including identity protection (via Aura), legal coverage via MetLife, pet savings programs, and more Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.
Partner Solutions Architect
ABOUT LANCEDB AI advances at the speed of its research, and research moves at the speed of its data. LanceDB is the AI-native Multimodal Lakehouse: one system where a researcher curates petabytes of video, audio, and every signal derived from them with a few lines of Python, and the next training run starts as fast as the next idea. Customers like Runway, Midjourney, and Netflix build the future of AI on LanceDB, from frontier and world models to robots and autonomous vehicles. ABOUT THE ROLE As a Senior Partner Solutions Architect (PSA), you will sit at the intersection of product engineering, business development, and customer success. You will be the trusted technical advisor to LanceDB's strategic partner ecosystem, including global System Integrators (SIs), Cloud Service Providers (AWS, GCP, Azure), Technology Alliances, and AI/ML orchestration platforms. Your mission is to enable, empower, and unblock our partners so they can successfully architect, deploy, and scale LanceDB solutions on behalf of their enterprise customers. This role requires a unique blend of deep technical grit (distributed systems, AI/ML pipelines) and exceptional relationship-building skills to drive mutual growth and technical excellence. WHAT YOU’LL DO - Partner Enablement & Training: Lead technical onboarding, training programs, and certifications for partner engineers and architects. Equip them to independently deliver and support LanceDB implementations. - Joint Architecture & Co-Delivery: Partner with alliances and field teams to support high-value proofs-of-concept (PoCs), design reviews, and architectural validations for complex, cloud-native enterprise environments. - Scalable Technical Content: Author and maintain partner-facing technical assets, including production-ready reference architectures, integration guides, deployment blueprints (Terraform, Docker), and sample code. - Product & Ecosystem Advocate: Act as the primary technical liaison between our partners and LanceDB's internal Product and Engineering teams. Synthesize partner-sourced feedback and feature requests to directly influence our roadmap. - Go-To-Market (GTM) Collaboration: Participate in joint business planning and support regional technical marketing events, hackathons, and campaigns alongside channel account managers. - Thought Leadership: Drive ecosystem adoption by sharing best practices through technical blogs, whitepapers, open-source contributions, and presentations at major industry conferences (e.g., AWS re:Invent, AI meetups). WHAT WE’RE LOOKING FOR - Experience: 10+ years of professional experience in customer- or partner-facing technical roles (e.g., Solutions Architecture, Partner Engineering, Sales Engineering, or ML Infrastructure), ideally supporting data platforms or distributed systems. - Ecosystem Familiarity: Proven track record working with or within a partner ecosystem (SIs, cloud providers, or technology alliances) with a firm grasp of how partners take solutions to market. - Technical Depth: Deep understanding of distributed systems concepts (sharding, replication, partitioning, and performance tuning) and container orchestration (Kubernetes, cloud object storage). - Programming Skills: Strong proficiency in Python and a willingness to dive into Rust (or vice versa) to read, debug, and write production-grade integration code or SDK extensions. - Communication: Exceptional presentation and communication skills. You can translate complex data infrastructure into actionable solutions for audiences ranging from partner developers to C-level executives. - Startup Agility: A self-starter mindset with the ability to thrive and operate autonomously in fast-moving, ambiguous environments. NICE TO HAVE - Hands-on experience building or supporting vector search pipelines, RAG applications, feature stores, or multimodal AI architectures. - Experience with open-source data frameworks and infrastructure orchestration tools (e.g., Apache Spark, Ray, Delta Lake, Terraform, Kafka, or Airflow). - Familiarity with modern observability and monitoring stacks (Prometheus, Grafana, OpenTelemetry) for troubleshooting distributed workloads. - Active contributions to open-source communities or a portfolio of developer-facing technical content (blogs, tutorials, GitHub repositories).
Senior Software Engineer - Storage Control Plane
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco or Bellevue office location 4 days per week; Lambda’s designated work-from-home day is currently Tuesday. In the world of distributed AI training and inference, raw GPU and CPU horsepower is just a part of the story. High-performance networking and storage are the critical components that enable and unite these systems, making groundbreaking AI training and inference possible. The Lambda Infrastructure Engineering organization forges the foundation of high-performance AI clusters by welding together the latest in AI storage, networking, GPU and CPU hardware. Our expertise lies at the intersection of: - High-Performance Distributed Storage Solutions and Protocols: We engineer the protocols and systems that serve massive datasets at the speeds demanded by modern clustered GPUs. - Dynamic Networking: We design advanced networks that provide multi-tenant security and intelligent routing without compromising performance, using the latest in AI networking hardware. - Compute Clustering and Virtualization: We enable cutting-edge virtualization and clustering that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure, unleashing the full compute bandwidth of clustered GPUs. AI training and inference relies on petabytes of data hosted on large, high-performance storage arrays. At Lambda, the Infrastructure Storage Team’s job is to ensure that the data powering AI is fast, performant, and available across a variety of access protocols (fit for purpose). We're looking for an experienced Senior Software Engineer to join our storage team. You'll join a team responsible for developing and implementing our next-generation storage software. This role requires expertise in distributed systems, and an in-depth understanding of file, block, and object storage protocols. You'll work on building scalable and resilient storage control plane that power our AI and machine learning infrastructure. What You’ll Do - Design and build a vendor-agnostic control plane that provisions, scales, heals, and meters storage across the platforms our customers actually demand, VAST Data, WEKA, DDN, Pure, NetApp, Ceph, MinIO, and the ones that don't exist yet. - Define the internal abstraction layer that hides vendor-specific APIs, failure semantics, QoS knobs, and telemetry formats behind one declarative interface, so a new vendor integration is a driver, not a re-architecture. - Build reconciliation-loop and CRD-based orchestration (Kubernetes controllers, operators, custom schedulers) that manages capacity, tenancy, encryption domains, and placement across data centers and availability zones. - Own multi-tenant isolation end to end: namespace and subsystem partitioning, per-tenant QoS and rate limiting, credential and key lifecycle, blast-radius containment, noisy-neighbor detection. - Design the capacity and placement engine: PCIe-topology-aware, NUMA-aware, failure-domain-aware. On our platforms a drive behind the same PCIe switch as the GPU it serves beats a faster drive on a different root port, and the control plane needs to know that. - Instrument everything: SLI/SLO definitions, fleet-wide performance regression detection, and the observability pipeline that makes a petabyte fleet debuggable at 3 a.m. You - Bachelor's or Master's degree in Computer Science or a related field. - 5+ years of experience in software development for storage systems. - Proven experience with distributed systems programming and concepts such as load balancers, data-durability, consensus algorithms, fault tolerance, and data consistency. - Strong programming skills in languages such as C, C++, Go, or Python. - Experience with Linux kernel internals and system-level programming. - Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar. - Familiarity with containerization technologies like Docker and Kubernetes and running production workloads in these environments. - Familiarity with CI/CD and QA practices for distributed systems development environments. Nice to Have - Experience with AI/ML workloads and the unique storage challenges they present. - Knowledge of data center networking and high-speed interconnects (e.g., InfiniBand, RoCE). - Experience with performance tuning and optimization of storage systems. - Familiarity with hardware acceleration technologies, specifically GPUs and DPUs. - Production experience with VAST Data, WEKA, DDN, Pure, NetApp, or IBM Storage Scale. - Ceph at 100 PB+ in HPC or AI environments. - CXL memory pooling, computational storage, ZNS SSDs, EDSFF. - Published or presented at SNIA SDC, FAST, USENIX ATC, LSFMM+BPF, OCP, SC, or similar. Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda - Founded in 2012, with 500+ employees, and growing fast - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG - Our values are publicly available: https://lambda.ai/careers - We offer generous cash & equity compensation - Health, dental, and vision coverage for you and your dependents - Wellness and commuter stipends for select roles - 401k Plan with 2% company match (USA employees) - Flexible paid time off plan that we all actually use Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Senior Software Engineer - Infrastructure Storage
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work-from-home day is currently Tuesday. In the world of distributed AI training and inference, raw GPU and CPU horsepower is just a part of the story. High-performance networking and storage are the critical components that enable and unite these systems, making groundbreaking AI training and inference possible. The Lambda Infrastructure Engineering organization forges the foundation of high-performance AI clusters by welding together the latest in AI storage, networking, GPU and CPU hardware. Our expertise lies at the intersection of: - High-Performance Distributed Storage Solutions and Protocols: We engineer the protocols and systems that serve massive datasets at the speeds demanded by modern clustered GPUs. - Dynamic Networking: We design advanced networks that provide multi-tenant security and intelligent routing without compromising performance, using the latest in AI networking hardware. - Compute Clustering and Virtualization: We enable cutting-edge virtualization and clustering that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure, unleashing the full compute bandwidth of clustered GPUs. AI training and inference relies on petabytes of data hosted on large, high-performance storage arrays. At Lambda, the Infrastructure Storage Team’s job is to ensure that the data powering AI is fast, performant, and available across a variety of access protocols (fit for purpose). We're looking for an experienced Senior Software Engineer to join our storage team. You'll join a team responsible for developing and implementing storage software for our next-generation on-premise storage solutions. This role requires expertise in distributed systems, and an in-depth understanding of file, block, and object storage protocols. You'll work on building scalable and resilient storage services that power our AI and machine learning infrastructure. What You’ll Do: - Design, develop, and maintain software for storage systems, focusing on performance, scalability, and reliability. - Implement and optimize storage protocol APIs for file (e.g., NFS, SMB), block (e.g., iSCSI, Fibre Channel), and object (e.g., S3) access. - Develop distributed systems for managing and orchestrating storage resources across multiple storage solutions and redundant arrays. - Collaborate with hardware and system architects to integrate software with various storage solutions, including NVMe and GPU-direct storage. - Troubleshoot and debug complex issues in a production data center environment. - Contribute to the full software development lifecycle, from requirements gathering and design to deployment and maintenance. You Have: - Bachelor's or Master's degree in Computer Science or a related field. - 5+ years of experience in software development for storage systems. - Proven experience with distributed systems programming and concepts such as load balancers, data-durability, consensus algorithms, fault tolerance, and data consistency. - Strong programming skills in languages such as C, C++, Go, or Python. - Deep understanding of storage protocols, including: - File: NFS, SMB, Lustre - Block: iSCSI, Fibre Channel - Object: S3, Swift - Experience with Linux kernel internals and system-level programming. - Familiarity with containerization technologies like Docker and Kubernetes and running production workloads in these environments. - Familiarity with CI/CD and QA practices for distributed systems development environments. Nice to Have - Experience with AI/ML workloads and the unique storage challenges they present. - Knowledge of data center networking and high-speed interconnects (e.g., InfiniBand, RoCE). - Experience with performance tuning and optimization of storage systems. - Familiarity with hardware acceleration technologies, specifically GPUs and DPUs. Salary Range Information Based on market data and other factors, the annual salary range for this position is. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda - Founded in 2012, with 500+ employees, and growing fast - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG - Our values are publicly available: https://lambda.ai/careers - We offer generous cash & equity compensation - Health, dental, and vision coverage for you and your dependents - Wellness and commuter stipends for select roles - 401k Plan with 2% company match (USA employees) - Flexible paid time off plan that we all actually use Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Senior Software Engineer - Core Cloud Platform
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. About the Role As a Senior or Staff Software Engineer in Lambda’s Cloud Services Engineering organization, you will build and operate the distributed systems that power Lambda’s GPU cloud. Our teams own platform capabilities across compute control planes, managed Kubernetes, cloud APIs, identity and access, usage metering and billing, capacity and orchestration, reliability, and developer-facing infrastructure. You will turn large-scale GPU infrastructure into reliable, secure, customer-facing cloud services by building APIs, workflows, stateful controllers, schedulers, and operational tooling. You will be full cycle engineer, owning systems through design, deployment, on-call, incident follow-through, and continuous improvement. This role is a strong fit for engineers who enjoy cloud infrastructure, distributed systems, operational excellence, and solving ambiguous problems across software and infrastructure boundaries. Senior engineers lead complex work within a team or domain; Staff engineers additionally shape cross-team architecture and make other teams more effective. What You’ll Do - Design, build, and operate services, APIs, control planes, and platform capabilities that power Lambda’s AI cloud. - Solve distributed-systems problems involving state, consistency, concurrency, scheduling, failure recovery, and safe lifecycle management. - Own the full engineering lifecycle: problem framing, architecture, implementation, testing, rollout, observability, on-call, and continuous improvement. - Improve system availability, latency, throughput, efficiency, security, and operability as Lambda grows by orders of magnitude. - Turn incidents and near misses into durable engineering improvements, including better automation, testing, guardrails, and backstops. - Work across product, infrastructure, networking, storage, security, and SRE teams to resolve dependencies and deliver the right outcome for customers. - Use AI-assisted development tools with judgment: accelerate exploration and implementation while independently verifying correctness, security, and maintainability. - Contribute to technical standards, design and code reviews, and mentorship; at Staff level, lead cross-team architecture and raise the technical ceiling of the organization. What we’re looking for - 7 or more years of professional software engineering experience, or equivalent evidence of impact building production systems. - Depth in at least one general-purpose language, we work primarily in Go and Python, and candidates interview in the language they know best. We look for someone who can reason about concurrency, error handling, and testing in that language, not someone who has used it. - Experience designing, building, and operating backend services, distributed systems, infrastructure, or platform capabilities at meaningful scale. - Practical understanding of system design, data models, APIs, failure modes, performance, and the tradeoffs required to run reliable software in production. - A track record of owning complex work through delivery and operation, including testing, staged rollout, monitoring, incident response, and root-cause improvement. - Proven track record of aligning cross functional partners and gaining consensus around decisions and tradeoffs. Nice to Have - 2+ years of experience building cloud services or platform infrastructure, or operating large-scale production systems on AWS, GCP, Azure, or a comparable cloud platform. - Experience with Kubernetes, container orchestration, schedulers, controllers, or cloud control-plane systems. - Depth in one or more cloud infrastructure or platform domains, such as compute, storage, networking, identity and access, developer platforms, container orchestration, usage metering and billing, databases, or fleet management. - Experience with infrastructure automation, durable workflow systems, event-driven architectures, or infrastructure as code. - Experience designing highly available, multi-region, or rapidly scaling distributed systems. - Familiarity with GPU infrastructure, HPC environments, or large-scale AI/ML training and inference workloads. Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda - Founded in 2012, with 500+ employees, and growing fast - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG - Our values are publicly available: https://lambda.ai/careers - We offer generous cash & equity compensation - Health, dental, and vision coverage for you and your dependents - Wellness and commuter stipends for select roles - 401k Plan with 2% company match (USA employees) - Flexible paid time off plan that we all actually use Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Senior HPC Engineer - Fleet Engineering
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. What You’ll Do - Build and operate monitoring and alerting for cluster health — fabric, GPU, power/thermal, and job-level signals — to detect and respond to issues proactively - Remotely deploy and configure large-scale HPC clusters for AI workloads using automation wherever possible - Automate cluster lifecycle: operating systems, firmware, drivers, and networking, managed as code (Ansible, Terraform) rather than by hand - Create runbooks and automated remediations for common cluster failure modes, designed so Support and HPC Support can run them safely - Troubleshoot and resolve cluster issues across InfiniBand/RoCE, NCCL, GPU-direct, fabric, switching, and power — working closely with on-site deployment teams - Participate in on-call rotations and lead incident response for cluster-level problems - Contribute to and maintain Standard Operating Procedures, and feed clear requirements back to other engineering teams on simplification, stability, and operational efficiency You - 7+ years of experience in Site Reliability Engineering, HPC Engineering, DevOps, or a similar role - Have a strong understanding of modern AI infrastructure, from GPU architectures to hardware performance optimization - Strong understanding of Linux-based systems in a distributed environment - Are experienced configuring and troubleshooting InfiniBand (IB), RoCE, CLOS fabrics, 100GbE, Ethernet/switching, GPU-direct, and NCCL environments - Solid understanding of Python and Go, with experience working with SWE teams to improve internal tooling. - Experience with monitoring and alerting tools (e.g., Prometheus, Grafana, Clickhouse) - Proficiency in automation and configuration management tools (e.g., Ansible, Terraform) - Have excellent problem-solving and troubleshooting skills and an innate attention to detail - Passion for continuous improvement and innovation Nice to Have - Experience with machine learning / deep learning frameworks (PyTorch, TensorFlow) and benchmarking tools (DeepSpeed, MLPerf) - Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes) - Experience building and/or operating HPC resources. - Depth in the NVIDIA hardware and firmware ecosystem - Experience with data center power and thermal design - Background in chaos engineering or similar reliability testing methodologies - Understanding of compliance frameworks (SOC 2, ISO 27001, etc.) Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda - Founded in 2012, with 500+ employees, and growing fast - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG - Our values are publicly available: https://lambda.ai/careers - We offer generous cash & equity compensation - Health, dental, and vision coverage for you and your dependents - Wellness and commuter stipends for select roles - 401k Plan with 2% company match (USA employees) - Flexible paid time off plan that we all actually use Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Developer Relations - Enterprise AI
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. We’re hiring a technical practitioner to join Developer Relations and help enterprise teams understand how to deploy production AI workloads on Lambda. You will turn deployment experience and work from Lambda’s technical teams into useful public resources. Your existing following and professional relationships will help that work reach enterprise AI practitioners who do not hear from Lambda today. What You’ll Do Audience and Distribution - Grow Lambda’s reach among enterprise AI and infrastructure practitioners. - Use your following and professional relationships to introduce Lambda to communities where it has limited presence. - Develop projects with practitioners, customers, or partners. Plan distribution through the channels their audiences already use. Technical Education - Create technically sound material about deploying production AI workloads on Lambda. - Work with MLE and engineering to turn field patterns into guides, demonstrations, or open-source examples. - Teach the same ideas through talks and workshops. Use video when it suits the subject, and adapt strong work for more than one audience. Field Feedback - Represent Lambda at conferences and on podcasts. Take part in relevant online communities. - Track the problems enterprise teams raise and share useful patterns with Lambda’s technical teams and go-to-market leaders. - Use that evidence to help set Developer Relations priorities. You - Experience deploying and operating production AI workloads, ideally inside an enterprise. - Working knowledge of MLOps and observability, including the reliability and performance work required to keep AI systems running. - An understanding of how internal AI infrastructure supports applications and adoption across an organization. - A record of writing or speaking clearly about AI deployment or infrastructure. - An established following or professional network among enterprise AI and infrastructure practitioners. - Experience using collaborations and community relationships to increase the reach of technical work. - The ability to work effectively with technical teams as well as marketing and customer-facing groups. Nice to Have - Experience with on-premises AI infrastructure or internal AI programs used by dozens of people. - Familiarity with Lambda Cloud or 1-Click Clusters. - Experience producing technical video, live demonstrations, workshops, or programs with external partners. What success looks like - More enterprise AI practitioners know and trust Lambda. Lambda is considered more often for production AI workloads. - Your technical work is accurate and useful to teams making deployment decisions. Your following and collaborations give that work wider reach in the communities that matter to Lambda. - Feedback from practitioners shapes Developer Relations priorities and gives Lambda’s product teams a clearer view of enterprise deployment needs. Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda - Founded in 2012, with 500+ employees, and growing fast - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG - Our values are publicly available: https://lambda.ai/careers - We offer generous cash & equity compensation - Health, dental, and vision coverage for you and your dependents - Wellness and commuter stipends for select roles - 401k Plan with 2% company match (USA employees) - Flexible paid time off plan that we all actually use Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Commodity Sourcing Manager – AI Infrastructure
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Jose, San Francisco or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. About the Role We are seeking an experienced Commodity Sourcing Manager to own sourcing strategy, supplier negotiations, and supply assurance for critical commodities across our rapidly growing AI Data Center Supply Chain. This individual contributor role owns the end-to-end commercial and sourcing relationship for a defined commodity or set of commodities within the AI compute ecosystem — spanning categories such as custom silicon, GPUs/CPUs, network hardware, power and cooling infrastructure (CDUs, PDUs, racks), and memory/storage. Commodity assignments will flex based on business need, and the ideal candidate is a versatile sourcing professional capable of ramping quickly across the full range of hardware that goes into a GPU rack, rather than a specialist in a single technology domain. You will drive negotiations, manage supplier performance, and build sourcing strategies that ensure supply continuity, cost competitiveness, and scalability as our infrastructure grows. The ideal candidate combines strong general technical fluency across hardware and infrastructure components with sharp commercial instincts — equally comfortable running a multi-million to multi-billion-dollar negotiation as they are digging into component-level technical detail with engineering partners, regardless of the underlying technology. You will work closely with Engineering, Hardware, Data Center Infrastructure, Supply Chain Planning, Finance, Legal, and Operations to secure supply, optimize commercial terms, and manage risk across your assigned commodities. What You’ll Do Commodity Sourcing Strategy - Own and execute sourcing strategy for assigned commodities within the AI infrastructure stack, which may include custom silicon, GPUs/CPUs, network hardware, power/cooling infrastructure, memory/storage, or other hardware categories that go into a GPU rack. - Develop category strategies aligned to roadmap requirements, capacity forecasts, and long-term infrastructure growth, regardless of the specific technology domain. - Identify and drive supply diversification, second-source development, and risk mitigation plans for constrained or fast-scaling categories. - Build and maintain market intelligence across assigned commodities, including supply/demand dynamics, capacity constraints, technology roadmaps, and competitive landscape. - Quickly ramp technical and market fluency in new commodity areas as business needs and assignments evolve. Commercial Negotiation & Contracting - Lead commercial negotiations with hardware and component suppliers, including: - Master supply and purchase agreements - Capacity commitments and allocation frameworks - Pricing, cost-downs, and cost structures - Non-recurring engineering (NRE) and design/tooling agreements - Service, quality, and performance terms - Build and execute negotiation strategies that balance cost, supply security, and flexibility, applying consistent commercial rigor across different commodity types. - Partner with Legal and Finance to structure and finalize contracts and commercial terms. Supplier Management - Manage day-to-day and executive-level relationships with strategic suppliers across assigned commodities. - Lead supplier business reviews, scorecards, escalation management, and performance improvement plans. - Partner with suppliers on capacity planning, allocation, roadmap alignment, and supply readiness. - Serve as the primary point of contact and escalation owner for assigned commodities. CROSS-FUNCTIONAL PARTNERSHIP - Partner with Engineering and Hardware teams to translate technical and roadmap requirements into sourcing and commercial strategies, regardless of the underlying technology. - Work with Supply Chain Planning to align supplier capacity and lead times with demand forecasts. - Support new product introductions, qualification timelines, and capacity ramps across GPU rack-level hardware. - Provide commodity market insight and recommendations to leadership on sourcing risk, cost trends, and supply strategy. Risk, Cost & Supply Resilience - Develop and maintain supply continuity plans that address: - Cost optimization - Capacity availability and allocation risk - Lead-time and component-level constraints - Geographic and geopolitical risk - Supplier financial and operational risk - Proactively identify and mitigate supply risk across assigned commodities, adapting risk frameworks to the specific dynamics of each category. You - 8+ years of experience in Commodity Management, Strategic Sourcing, Procurement, or Supply Chain roles, with experience across one or more hardware or component categories relevant to data center or compute infrastructure (e.g., semiconductors, networking, power/cooling, memory/storage, mechanical/electrical systems). - Demonstrated experience negotiating and managing supply agreements with hardware component manufacturers, OEMs, or ODMs. - Ability to quickly build technical fluency in new commodity or technology areas. - Proven track record leading complex commercial negotiations and delivering measurable cost and supply outcomes. - Strong analytical, financial, and business acumen. - Experience operating in constrained, long-lead-time, high-growth supply environments. - Ability to build effective relationships with senior supplier stakeholders and internal cross-functional partners. Nice To Have - Experience sourcing across multiple commodity types within AI/ML or hyperscale data center infrastructure (e.g., silicon, networking, power/cooling, memory/storage). - Demonstrated versatility moving between commodity domains over the course of a career, rather than deep specialization in a single technology. - Experience supporting hyperscale data center or AI infrastructure programs. - Background partnering with hardware/systems engineering teams on NRE, qualification, or co-development agreements. - Bachelor's degree in Engineering, Supply Chain, Business, or related field; advanced degree a plus. We Are Looking for Someone Who Is: - A generalist sourcing professional who can ramp quickly across different hardware technologies and commodity types - Technically curious and commercially sharp — able to move fluidly between technical detail and high-stakes negotiation, regardless of domain - Data-driven, decisive, and execution-oriented - A strong relationship builder with suppliers and internal stakeholders - Comfortable operating with a high degree of ownership in a fast-growth, ambiguity-rich environment - Willing to personally drive negotiations, supplier escalations, and problem-solving day to day Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda - Founded in 2012, with 500+ employees, and growing fast - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG - Our values are publicly available: https://lambda.ai/careers - We offer generous cash & equity compensation - Health, dental, and vision coverage for you and your dependents - Wellness and commuter stipends for select roles - 401k Plan with 2% company match (USA employees) - Flexible paid time off plan that we all actually use Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
AI Operations Engineer - IT/Internal Infrastructur...
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco of San Jose office location 4 days per week; Lambda's designated work from home day is currently Tuesday Information Systems at Lambda is responsible for building and scaling the internal systems that power our business. We partner across the company—Finance, GTM, Engineering, and People—to implement tools, automate workflows, and ensure data flows securely and accurately. Our scope includes enterprise applications, integrations, data platform and analytics, compliance automation, and all things IT. What You’ll Do - Design, write, and deliver software and services to improve the availability, scalability, reliability, and efficiency of Lambda’s internal IT systems and platforms. - Solve problems relating to mission critical services and build automation to prevent problem recurrence with the goal of automating response to all non-exceptional events. - Work with Lambda Engineering and internal teams to Influence and create new designs, architectures, standards, and methods for large-scale distributed systems. - Engage in service capacity planning and demand forecasting, software performance analysis, and system tuning. - Be an excellent communicator, producing documentation and related artifacts for the systems you are responsible for. You - Have a keen interest in system design, architecting for performance, scalability, and experience with multiple cloud infrastructure platforms (AWS, GCP, Azure, etc.). - Think carefully about systems: edge cases, failure modes, behaviors, and specific implementations. - Know and prefer configuration management systems and toolchains (Chef, Ansible, Terraform, GitHub Actions, etc.) - Have solid programming skills: Python, Go, etc. - Have an urge to collaborate and communicate asynchronously, combined with a desire to record and document issues and solutions. - Have an enthusiastic, go-for-it attitude. When you see something broken, you can’t help but fix it. - Have an urge for delivering quickly and effectively, and iterating fast. Nice to Have - Experience and interest in ML/AI workloads and compute - Practical experience implementing and managing paging, alerting, and on-call scheduling flows - A positive attitude, combined with a desire to learn and collaborate Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda - Founded in 2012, with 500+ employees, and growing fast - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG - Our values are publicly available: https://lambda.ai/careers - We offer generous cash & equity compensation - Health, dental, and vision coverage for you and your dependents - Wellness and commuter stipends for select roles - 401k Plan with 2% company match (USA employees) - Flexible paid time off plan that we all actually use Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Targeted Recruiting & Onboarding Specialist (Contr...
Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: - Enterprise Platform & Tools : Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale - Frontier Data Labeling Service : Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models - Expert Marketplace : Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us - High-Impact Environment : We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. - Technical Excellence : Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. - Innovation at Speed : We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. - Continuous Growth : Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. - Clear Ownership : You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview We're looking for a Targeted Recruiting Specialist to own the contributor acquisition funnel from sourcing the right technical profiles to getting them through onboarding and onto their first completed task. This is an operational role at its core: you'll build and run the systems, channels, and processes that let us recruit at scale, reliably and quickly. The right person is execution-oriented, thinks in funnels, and is comfortable with ambiguity. You won't just manage job postings you'll own the full pipeline infrastructure, diagnose conversion problems, manage external sourcing partners, and make sure the right candidates get to the right projects with minimal friction. This is a fully remote, flexible contract role. You'll work closely with the broader Growth team and directly with recruiters to set priorities and drive execution. This role entails: Funnel Ownership - Own all active and evergreen job funnels end-to-end, from posting to first completed task - Track conversion at every funnel stage, identify drop-off points, and implement fixes - Support AI interview gates and fasttracks ensure they're running smoothly and converting qualified candidates - Build and own the intake-to-execution process for new sourcing requests so that when a new project spins up, the recruiting pipeline is ready Sourcing & Partnerships - Manage relationships with BPOs and external sourcing partners evaluate quality, negotiate terms, and hold them accountable to targets - Write and manage evergreen job postings across LinkedIn and other relevant channels - Explore and test non-conventional sourcing channels communities, academic partnerships, niche forums to find what converts best for technical profiles Quality & Coordination - Vouch for the quality of incoming recruits and ensure headcount targets are met per project - Work closely with recruiters to prioritize open roles and coordinate execution - Collaborate with the Community team to align on what a high-quality recruit looks like and build screening processes that filter for it upstream What You Bring - Operationally sharp, you build systems and processes, not ad hoc workflows, and you think in funnels naturally - Experienced in recruiting ops, workforce planning, or growth operations, you've owned a pipeline and hit targets - Data-driven, you track funnel metrics, know where things break, and fix them systematically - A strong executor who's comfortable with ambiguity and works well independently - Creative about sourcing, you don't just post on LinkedIn; you find the pockets where the right people actually are - Excellent written communicator, you can write a job posting that converts and a sourcing message that gets replies - Background in high-volume or technical recruiting, staffing operations, or marketplace supply growth preferred Nice to Have - Experience managing BPO or external sourcing partnerships - Familiarity with AI interview tools or automated screening workflows - Comfort with data and funnel analytics able to build your own dashboards and identify conversion issues independently - Exposure to technical recruiting (STEM, software engineering, ML/AI) or gig/freelance platform supply-side - Interest in AI and the model training space Why Join Us - High-ownership role, you'll build the recruiting infrastructure for a 2.7M-person contributor network from the ground up - Fully remote and flexible, work when and where you do your best thinking - Freelance autonomy with measurable, direct impact on the business - Collaborate with a sharp, fast-moving team at the frontier of AI development - IC role for now, with meaningful visibility and room to grow as the team scales Alignerr strives to ensure pay parity across the organization and discuss compensation transparently. The expected hourly rate range for United States-based candidates is below. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location. Pay Range (rate per hour) ₹570 - ₹760 INR Life at Labelbox - Environment : Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making - Growth : Career advancement opportunities directly tied to your impact - Vision : Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy : Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice . Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.
Software Engineer, Backend
ABOUT KREA At Krea, we are building next-generation AI creative tools. We're dedicated to making AI intuitive and controllable for creatives - our mission is to build tools that empower human creativity, not replace it. We believe AI is a new medium that allows us to express ourselves through various formats - text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. We recently took this a step forward with the launch of Krea 2 https://www.krea.ai/blog/krea-2-image-model, our first foundation model, built completely from scratch for aesthetic diversity and stylistic control. We've raised over $83M and are backed by world-class investors such as a16z, Bain Capital, and Abstract. We work full-time and in-person at our waterfront office in San Francisco. We care about creativity: our team includes musicians, designers, visual artists, and engineers. WHAT YOU'LL DO You'll work across the whole backend: the SvelteKit app and its Postgres, Redis, and ClickHouse data layer, the Python services that run our ML inference, and the Kubernetes clusters that tie it together across multiple cloud and GPU providers. You'll own these systems end-to-end, from design through to running them in production. A SAMPLE OF WHAT WE'RE WORKING ON RIGHT NOW: - Durable execution for long-running workflows. Building the state machines, idempotency, and retry semantics that keep multi-step inference jobs correct when they take minutes to finish and anything can fail mid-flight - Improving our public API. Designing a clean, well-documented API surface with OpenAPI docs auto-generated from our Zod schemas - Enterprise product features. ACLs, audit logs, entitlements, and all the "boring" features that organizations with a thousand users expect WHAT WE'RE LOOKING FOR We care more about first-principles engineering than which languages or tools you happen to know - You've owned real production systems end-to-end: design, monitoring, metrics, incidents. Ideally you have 4–8 years of experience, but we care about scope and judgment over the number on your resume - You're comfortable across the stack and unfazed by unfamiliar code, and you have opinions about how to architect things that scale - You write and talk clearly, and you're happy working without a lot of PM hand-holding Bonus if you: have GPU or infra experience, have run Kubernetes in production, or come from a creative background. A lot of us do, and it helps when you're building tools for creatives (but it's genuinely not a requirement). OUR STACK - SvelteKit, TypeScript, Python, Postgres (AWS Aurora), Redis, ClickHouse, Docker, Kubernetes, FluxCD. WHAT WE OFFER - Team: Work alongside a world-class team building the future of AI creative tooling - Impact: Significant scope and company-wide impact - Competitive compensation: generous salary & equity packages - Health & wellness: 100% health & 99% dental/vision insurance premiums covered for employees, health FSA accounts, & long-term disability coverage - Time off: Flexible PTO policy - Financial planning: 401k with a 4% company-sponsored match - Meals in the office: breakfast, lunch, dinner - you name it, we'll cover it - Transit: Ubers covered to & from the office - Sponsorship: We're open to sponsoring international visas where we can (e.g., STEM OPT, OPT, H-1B, O-1, E-3). - And more! Please note the above benefits & perks are for full-time employees
Research Leader / Senior Scientist (Medicinal Drug...
Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery. Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture. The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you. About Iso Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI. About the Medicinal Drug Design team We are a dynamic team of Medicinal Chemists transforming how drugs are designed. By partnering deeply with our machine learning colleagues, we are doing more than just leveraging the Isomorphic Labs drug design engine - we are actively shaping it. We use our domain expertise to challenge and refine our algorithms, creating a powerful symbiotic relationship that drives our internal and collaborative portfolios. Our team works closely together in a supportive environment, where everyone is valued for their medicinal chemistry expertise and the experience they bring to the group. We have a strong growth mindset and prioritise continued development and learning. Your impact We’re hiring at the Research Leader and Senior Scientist levels, and you can apply for either position using the application form below. These roles are ideal for experienced medicinal chemists who are eager to shape the future of drug discovery at the intersection of medicinal chemistry and artificial intelligence. Working as either a Project Lead or a Medicinal Chemistry Lead, you will provide scientific expertise and strategic direction for portfolio drug discovery projects, guiding them from initiation towards clinical candidate selection. Working alongside world-leading ML scientists, you will play a critical role in enhancing our AI platform through your technical expertise, and apply these improvements to drug design projects. You will have experience of working broadly across drug discovery projects, with the ability to think originally and critically, knowing when to apply innovative ideas, and think with a fresh approach. If you are a skilled Medicinal Chemist with a passion for applying cutting-edge technology to complex scientific challenges, this role offers an unparalleled opportunity for impact and growth. As part of this hiring, some roles will have people management responsibilities for building teams of 2-4 Medicinal Chemists. In this case, you will be responsible for line managing and mentoring a talented and high-performing team, encouraging their scientific growth and career development. You’ll champion our cross-disciplinary approach, fostering a supportive team culture where continuous learning and the adoption of next-generation tools are the standard, not the exception. What you will do - Invent new medicines. Rapidly drive drug discovery programs to value inflection points by deploying your knowledge of modern discovery principles and synthetic organic chemistry, taking ownership as either an overall Project Lead or Medicinal Chemistry Lead. - Collaborate cross-functionally to support the data-driven delivery of high quality scientific solutions to complex technical problems. - Represent the company externally, interacting with existing and prospective collaborators and Contract Research Organisations (CROs). - Provide strategic input and technical direction to our ML platform teams. - Effectively manage CRO resources and monitor KPIs to maintain delivery. - Generate intellectual property positions and capture the value derived from IsoLabs’ investment. - Prepare detailed scientific proposals and reports to support new and ongoing programs. - Embrace and champion our culture of inclusion and continuous professional development. Skills and qualifications Essential: - PhD in Medicinal Chemistry, Synthetic Organic Chemistry, or a related technical field, or equivalent industrial experience. - 8+ / 5+ years of professional experience in a Medicinal Chemistry role, operating within a biotech, pharma or CRO setting. - Proven track record of project leadership / leading medicinal chemistry efforts on drug discovery projects, demonstrating significant contributions to project progression (ideally from hit identification through to lead optimisation or candidate nomination), with familiarity of optimisation of ADME properties. - For a people management position, experience of leading a high-performing scientific team, mentoring and empowering them to thrive in their roles. - Experience of driving a problem through structure-based drug design. - Excellent strategic thinking, problem-solving, and decision-making capabilities applied to complex drug discovery challenges. - Experience of working with and closely managing CRO resources. - Strong track record of scientific achievements, evidenced by publications, patents, and presentations. - A genuine passion for drug discovery and enthusiasm for the potential of ML to transform the field. - Excellent communication (written and verbal) and interpersonal skills, with an ability to work effectively in a cross-functional, collaborative team environment. - Track record of creative problem solving with a strong growth mindset, adaptability, and eagerness to learn new concepts and techniques. Nice to have: - Experience of successful application of fragment-based drug design approaches. Culture and values We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it. Thoughtful Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. Brave Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less. Determined Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we. Together Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere. Creating an extraordinary company We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Hybrid working It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call. Please note that when you submit an application, your data will be processed in line with our privacy policy . >> Click to view other open roles at Isomorphic Labs
Head of Medicinal Chemistry, Drug Design, London
Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery. Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture. The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you. About Iso Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI. About the Medicinal Drug Design Team We have an established, dynamic team of ~25 Medicinal Chemists in London, who are fundamentally redefining how drugs are designed. By partnering deeply with our AI/ML colleagues, we are doing more than just leveraging the Isomorphic Labs Drug Design Engine - we are actively shaping it. We use our domain expertise to challenge and refine our algorithms, creating a powerful symbiotic relationship that drives our internal and collaborative portfolios. Our team works closely together in a supportive environment, where everyone is valued for their medicinal chemistry expertise and experience they bring to the group. We have a strong growth mindset and prioritise continued development and learning. Your impact We are seeking an experienced and strategic Head of Medicinal Chemistry to join our Drug Design team. This is a pivotal role for a motivated scientific leader who is eager to shape the future of drug discovery at the intersection of medicinal chemistry and artificial intelligence. You will provide scientific leadership and strategic direction for the Medicinal Chemistry team, responsible for delivery and guidance of projects to clinical candidate nomination. Additionally, you will oversee and mentor a team of talented Medicinal Chemists, fostering their scientific growth and career development. Working alongside world-leading AI/ML Scientists, you will play a critical role in driving project success, enhancing our AI platform through expert feedback, and developing a high-performing Chemistry team. Critical to this role will be the ability to build highly effective and efficient connectivity with Computational Drug Design, Biology and Pre-Clinical Development teams to accelerate pace to the clinic. If you are a skilled Medicinal Chemist with leadership experience and a passion for applying cutting-edge technology to complex scientific challenges, this role offers an unparalleled opportunity for impact and growth. What you will do - Utilise your deep track record of modern drug design to oversee and deliver the London Drug Design portfolio, providing technical portfolio guidance. Rather than acting as a hands-on project lead, you will act as a senior advisor, empowering and strategically guiding your Chemistry Leads to navigate complex scientific challenges and drive programs to clinical candidate nomination. - Provide direct line management and strategic oversight for a growing team of ~25 Medicinal Chemists. You will manage a layered structure, setting clear goals, mentoring your management team, and fostering a collaborative, high-performance culture across the entire department. - Champion an AI-First Approach, actively ensuring that every chemist in the organisation is empowered and supported in the application of AI tools. You will foster a culture where chemists work natively alongside tech teams, providing strategic input and technical direction to our AI platform teams. - Collaborate both internally and with third-party organisations, to build highly effective and efficient connectivity between Chemistry, Computational Drug Design, Biology, and Pre-Clinical Development teams to accelerate pace to the clinic. - Represent the company externally, interacting with existing and prospective collaborators. You will effectively manage large-scale CRO resources and monitor KPIs to maintain high-quality, rapid delivery. - Constantly look for ways to do drug discovery differently. Optimise workflows, challenge traditional medicinal chemistry dogmas, and champion our culture of inclusion and continuous professional development. Skills and qualifications Essential: - PhD in Synthetic Organic Chemistry, Medicinal Chemistry or a related technical field, or equivalent industrial experience. - Solid foundation in medicinal chemistry with a minimum of 15+ years previous industrial experience within a pharma/biotech/CRO setting. - Proven track record of leading medicinal chemistry efforts on drug discovery projects, demonstrating significant contributions to project progression (ideally from Hit Identification through to Lead Optimisation/Candidate Nomination, with familiarity of optimisation of Drug Metabolism and Pharmacokinetics (DMPK). - A genuine passion for drug discovery and a visible desire to move away from "business as usual," coupled with enthusiasm for the potential of AI/ML to transform the field. - Demonstrated experience in line management, mentorship, and developing scientific talent. - Excellent strategic thinking, problem-solving, and decision-making capabilities applied to complex drug discovery challenges. - Experience of working with and closely managing CRO resource. - Strong track record of scientific achievement, evidenced by publications, patents, and presentations. Nice to have: - Experience of successful application of fragment-based drug design approaches. - Experience of structure-based drug design - Proven track record of leading large teams and managing through other managers. Culture and values We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it. Thoughtful Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. Brave Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less. Determined Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we. Together Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere. Creating an extraordinary company We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Hybrid working It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call. Please note that when you submit an application, your data will be processed in line with our privacy policy . >> Click to view other open roles at Isomorphic Labs
Director of Nonclinical Safety, Cambridge, MA
Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery. Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture. The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you. About Iso Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI. Isomorphic Labs was launched in 2021 to advance human health by building on and beyond the Nobel prize-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drug candidates will perform in the clinic and develop medicines to treat and cure some of the world’s most devastating diseases. At IsoLabs, we are committed to leveraging state-of-the-art AI to advance precision medicine paradigms and establish new benchmarks for both efficacy and safety by consistently delivering the optimal treatments to the appropriate patients at precisely the right time, which we expect to significantly enhance our overall probability of success. Since our founding, we have grown a world-class interdisciplinary team led by founder and CEO Sir Demis Hassabis and President Max Jaderberg. We have built strategic drug discovery collaborations with partners including Eli Lilly, Novartis and Johnson & Johnson, with the Novartis collaboration expanding in February 2025 to double its original scope. Our internal drug candidate pipeline consists of multiple programs across oncology and immunology. In March 2025, IsoLabs raised $600 million in its first external funding round, led by Thrive Capital with participation from GV and Alphabet. In May 2026, IsoLabs raised $2.1 billion in a Series B financing round. This investment will power our world-leading AI drug design engine, scale our business globally and progress our drug candidate pipeline. The round was led by Thrive Capital, and includes participation from existing backers Alphabet and GV alongside new investors MGX, Temasek, CapitalG, and the UK Sovereign AI Fund, significantly expanding our global capital base.Isomorphic Labs is scaling globally, with headquarters in London and offices in Lausanne, Switzerland and a US base in Cambridge, Massachusetts. We continue to progress our internal candidate programs towards the clinic while advancing across a broad range of modalities including small molecules, molecular glues, peptides, and antibodies. Your impact We are seeking a highly motivated and experienced Director of Nonclinical Safety to build our nonclinical safety function supporting programs in the Early Development phase. Reporting directly to the Head of Early Development, you will serve as a key member of the Early Development team. In this critical role, you will be primarily responsible for defining and executing phase-appropriate nonclinical safety strategies as well as pioneering the integration of artificial intelligence in support of oncology and non-oncology programs. What you will do Functional Leadership & Capability Building - Lead, build, and scale the Nonclinical Safety function within an AI-first drug development environment. - Serve as the primary internal expert for post-IND nonclinical safety ensuring quality, consistency, and scalability as compounds transition into clinical trials. - Establish a critical data feedback loop: ensure high-quality data are fed back to computational teams to continuously train, validate, and refine our predictive nonclinical safety AI models. Portfolio & Program Strategy - Define and drive nonclinical safety and other translational strategies primarily for small molecule drug candidates in the Early Development phase across oncology and non-oncology indications. - Execute seamlessly on post-IND (NDA/MAA-enabling) nonclinical toxicology work, including chronic, reproductive, and carcinogenicity studies as needed. - Establish translational strategies by integrating exploratory nonclinical safety biomarkers and exposure-based modeling plans to predict and de-risk potential effects in humans. - Integrate in silico safety predictions (e.g., off-target liabilities, digital pathology, predictive DILI models) with traditional data to help build robust, AI-augmented nonclinical safety profiles for compounds in development. - Collaborate closely with colleagues in Preclinical Development, Clinical Pharmacology, Regulatory Affairs, Quality, and Pharmaceutical Sciences & Manufacturing to ensure the seamless development of drug candidates. External Partnerships & Regulatory - Leverage network of global CRO’s and consultants, ensuring data quality, timelines, and cost efficiency in a fast-paced environment. - Lead nonclinical regulatory strategy and contribute to corresponding documentation, including INDs, IBs, DSURs, briefing books, and NDA/MAA modules (including USPI/labels). - Represent Isomorphic Labs in regulatory interactions and global health authority meetings (FDA, EMA) as appropriate, leveraging cutting-edge AI and LLM tools to accelerate document drafting, data QC, and narrative generation. - Participate in validating, presenting, and defending AI-derived safety data and predictive models in interactions with global health authorities (FDA, EMA) to advance the regulatory acceptance of computational toxicology. Skills and qualifications Essential: - PhD, DVM, or equivalent in Cell & Molecular Biology, Toxicology, Pathology, Pharmacology, or a related field. Board certification in toxicology is desired. - 12+ years of experience in nonclinical safety and toxicology in the biotech/pharma industry. - Demonstrated success in small molecule drug development for oncology and non-oncology indications is required. Additional experience in biologics is a plus. - A strong interest in, or hands-on experience with, computational toxicology, machine learning applications in safety assessment, or evaluating in silico predictive models. - Experience in developing biologics and other novel platforms is highly desired. - Proven track record advancing programs from discovery through post-IND clinical development and late-stage registration (NDA/BLA). - Strong experience selecting, auditing, and managing external CRO vendors for GLP toxicology studies. Attributes: - Enterprise mindset; able to bridge the gap between computational AI teams and traditional drug development. - A strong enthusiasm for operating in an AI-first environment and leveraging cutting-edge automation in daily workflows. - Analytical and goal-oriented, with the ability to operate with urgency while maintaining the highest standards of scientific rigor and ethics. - Strong communicator who can translate complex safety and biomarker and computational toxicology data into clear, audience-appropriate risk assessments, building trust across early development. Culture and values We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it. Thoughtful Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. Brave Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less. Determined Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we. Together Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere. Creating an extraordinary company We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Hybrid working It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call. Please note that when you submit an application, your data will be processed in line with our privacy policy . >> Click to view other open roles at Isomorphic Labs
Software Engineer, Forward Deployed
About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Software Engineer, Forward Deployed Engineer (FDE) you'll work directly with clients and our internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. You’ll own projects end-to-end: scoping ambiguous problems, prototyping AI workflows, and deploying scalable systems on top of our products — all while interfacing with technical and non-technical stakeholders. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate. What You’ll Do - Collaborate with delivery leaders to scope technical solutions to operational problems - Identify workflow optimizations through deep engagement with customer problems and work to build into a stable and scalable solution - Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools - Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant engineering solutions - Iterate quickly based on real-time feedback from operators and clients - Build reusable tooling and infrastructure that accelerates future deployments What We Need - Hands-on experience in software engineering or ML engineering — through professional roles, internships, or coursework/research projects - Strong Python skills and familiarity with libraries like PyTorch, Hugging Face, LangChain, or OpenAI APIs - Solid understanding of data pipelines, APIs, and production deployment (e.g., Docker, FastAPI, GCP/AWS) - Experience building usable systems from messy data and ambiguous requirements - Strong communication skills — you can explain technical decisions to delivery teams and client stakeholders - Entrepreneurial mindset and comfort working in fast-moving, unstructured environments - Be willing to be on-call for our customers when situations arise - Travel: Willingness to travel for on-site client engagements as needed - Onsite: Available to work from the office a few days per week, depending on team needs What’s In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. The annual salary range for this position, depending on level, is: $93,000 - $217,000 USD You can find more information about our geographic pay tiers here . During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. *Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible: At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll fit right in. Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: https://docs.google.com/forms/d/e/1FAIpQLScqsu0PCQ0m0lwt-VFeXovNbZxWk0jogv8QI_ciGqZsIbSBjQ/viewform?usp=sharing&ouid=102356854798492362557 Equal Opportunity Statement: We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.
Software Engineer (Forward Deployed)
About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Software Engineer, Forward Deployed Engineer (FDE) you'll work directly with clients and our internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. You’ll own projects end-to-end: scoping ambiguous problems, prototyping AI workflows, and deploying scalable systems on top of our products — all while interfacing with technical and non-technical stakeholders. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate. What You’ll Do - Collaborate with delivery leaders to scope technical solutions to operational problems - Identify workflow optimizations through deep engagement with customer problems and work to build into a stable and scalable solution - Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools - Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant engineering solutions - Iterate quickly based on real-time feedback from operators and clients - Build reusable tooling and infrastructure that accelerates future deployments What We Need - Hands-on experience in software engineering or ML engineering — through professional roles, internships, or coursework/research projects - Strong Python skills and familiarity with libraries like PyTorch, Hugging Face, LangChain, or OpenAI APIs - Solid understanding of data pipelines, APIs, and production deployment (e.g., Docker, FastAPI, GCP/AWS) - Experience building usable systems from messy data and ambiguous requirements - Strong communication skills — you can explain technical decisions to delivery teams and client stakeholders - Entrepreneurial mindset and comfort working in fast-moving, unstructured environments - Be willing to be on-call for our customers when situations arise - Travel: Willingness to travel for on-site client engagements as needed - Onsite: Available to work from the office a few days per week, depending on team needs What’s In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. The annual salary range for this position, depending on level, is: £57,000 - £132,000 GBP You can find more information about our geographic pay tiers here . During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. *Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible: At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll fit right in. Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: https://docs.google.com/forms/d/e/1FAIpQLScqsu0PCQ0m0lwt-VFeXovNbZxWk0jogv8QI_ciGqZsIbSBjQ/viewform?usp=sharing&ouid=102356854798492362557 Equal Opportunity Statement: We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.
Senior Software Engineer (Forward Deployed)
About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Senior Software Engineer, Forward Deployed Engineer (FDE) you'll work directly with clients and our internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. You’ll own projects end-to-end: scoping ambiguous problems, prototyping AI workflows, and deploying scalable systems on top of our products — all while interfacing with technical and non-technical stakeholders. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate. What You’ll Do - Collaborate with delivery leaders to scope technical solutions to operational problems - Identify workflow optimizations through deep engagement with customer problems and work to build into a stable and scalable solution - Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools - Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant engineering solutions - Iterate quickly based on real-time feedback from operators and clients - Build reusable tooling and infrastructure that accelerates future deployments What We Need - 6+ years of software engineering experience, including significant time spent building data, ML, or backend systems - Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems - Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS) - Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance - Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes - Strong product and system design instincts — you understand business needs and how to translate them into technical architecture - Experience building usable systems from messy data and ambiguous requirements - Excellent communication and client-facing skills; you’ve led conversations with technical and non-technical stakeholders alike - Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments - Be willing to be on-call for our customers when situations arise - Travel: Willingness to travel for on-site client engagements as needed - Onsite: Available to work from the office a few days per week, depending on team needs — some NYC-based teams require 3 days per week onsite; your specific requirement will depend on the team you're placed with What’s In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. The annual salary range for this position, depending on level, is: $180,000 - $264,000 USD You can find more information about our geographic pay tiers here . During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. *Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible: At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll fit right in. Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: https://docs.google.com/forms/d/e/1FAIpQLScqsu0PCQ0m0lwt-VFeXovNbZxWk0jogv8QI_ciGqZsIbSBjQ/viewform?usp=sharing&ouid=102356854798492362557 Equal Opportunity Statement: We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.
Staff Software Engineer, Imaging
THE OPPORTUNITY insitro is a physical AI company dedicated to unlocking causal human biology and accelerating the delivery of better medicines to patients. Our unique Virtual Human™ platform identifies novel, high-impact genetic intervention points, which our TherML™ platform translates into therapeutics—whether small molecules, biologics, or oligos. With multiple programs in metabolic disease and neuroscience advancing toward the clinic, and our first IND submission slated for the second half of this year, we are at a pivotal inflection point. As a Staff Software Engineer on our Imaging Software team, you will define and expand our computer vision and ML infrastructure across the full imaging data lifecycle — from on-microscope acquisition to high-throughput ML pipelines. You'll build the platform features that make novel imaging modalities and ML-derived phenotypes integral to our discovery workflows, partnering daily with lab scientists, ML scientists, and our microscopy team to turn research prototypes into validated screening workflows that run reliably at laboratory automation scale. This is a chance to set the technical direction for how imaging, automation, and machine learning converge in drug discovery. Based in South San Francisco, this position reports directly to the Director of Imaging, Cellular Machine Learning and offers an in-person hybrid schedule of three days per week. RESPONSIBILITIES Platform & Tooling • Platform Enablement: Partner with lab and ML scientists to design, develop, and scale the platform capabilities needed to run and interpret ML-powered high-content imaging screens • User Tooling: Build and evolve robust tools and interactive interfaces for data exploration, quality assessment, and visualization so scientists can iterate quickly on experimental data • Architectural Ownership: Own complex, end-to-end projects, making thoughtful architectural trade-offs, and delivering incrementally with long-term maintainability in mind Production Hardening & Data Integrity • Production Hardening: Scale and harden complex image processing and ML workflows, taking them from research prototypes to systems that reliably process millions of images per day • Data Integrity: Set and uphold best-in-class practices for data integrity, lineage tracking, reproducibility, and observability across the entire imaging data lifecycle • Documentation: Write clear, exemplary technical specifications and documentation that others build on Cross-Functional Partnership • Scientific Translation: Work closely with lab scientists, ML scientists, and microscopy teams to translate complex experimental needs into clear, actionable technical plans and shipped software • Mentorship: Raise the technical bar across the team by sharing knowledge and mentoring other engineers ABOUT YOU Experience & Qualifications • Proven Tenure: 8+ years of professional experience building and operating production-grade software and high-throughput data pipelines, primarily in Python • ML Platform Depth: You have designed, built, and deployed scientific computing pipelines, visualizations, and QC processes for large-scale imaging or similarly high-dimensional datasets • Distributed Systems Stack: Hands-on experience with a Python-first ML stack, distributed compute (e.g., PyTorch/Lightning, Ray, Kubernetes), and workflow orchestration (e.g., Argo, Airflow, or redun) • End-to-End Delivery: A track record of owning complex systems from architecture through production operation Core Competencies • Cross-Functional Partnership: You thrive alongside scientists and excel at translating abstract research needs into practical, scalable software • Mission-Driven: You're motivated by enabling scientific breakthroughs through robust platform engineering • Force Multiplier: You enjoy mentoring and leveling up the engineers around you COMPENSATION & BENEFITS AT INSITRO Our target starting salary for successful US-based applicants for this role is $219,000 - $233,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies. In addition, insitro also provides our employees: - 401(k) plan with employer matching for contributions - Excellent medical, dental, and vision coverage as well as mental health and well-being support - Open, flexible vacation policy - Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc) - Quarterly budget for books and online courses for self-development - New hire stipend for home office setup - Monthly cell phone & internet stipend - Access to free onsite baristas and daily lunch for employees who are either onsite or hybrid - Access to a free commuter bus network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams–grounded in a wide range of expertise and life experiences–and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process. Please be aware of recruitment scams: we never request payments, all recruitment communications are from @insitro.com http://insitro.com, and if in doubt, contact us at info@insitro.com. #LI-Hybrid About insitro insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro’s approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit www.insitro.com http://www.insitro.com.
Senior Scientist, Cardiac Modeling
THE OPPORTUNITY insitro is a physical AI company dedicated to unlocking causal human biology and accelerating the delivery of better medicines to patients. Our unique Virtual Human™ platform identifies novel, high-impact genetic intervention points, which our TherML™ platform translates into therapeutics—whether small molecules, biologics, or oligos. With multiple programs in metabolic disease and neuroscience advancing toward the clinic, and our first IND submission slated for the second half of this year, we are at a pivotal inflection point. We are seeking a Senior Scientist to join our cardiac disease biology team. In this role, you will own the development and application of iPSC-derived cardiomyocyte (iPSC-CM) models to study the genetic and molecular underpinnings of cardiovascular disease — working at the intersection of human stem cell biology, cardiac physiology, and scalable experimental platforms to generate the datasets that fuel our ML-driven drug discovery efforts. You will design and execute experiments, optimize differentiation and assay workflows, and partner closely with ML scientists, computational biologists, and chemists to connect cellular phenotypes to disease mechanisms and therapeutic targets. Based in South San Francisco, this position reports directly to Vice President, Cardiometabolic Disease - Translational Genetics and requires you to be onsite at our South San Francisco office 5 days per week. RESPONSIBILITIES iPSC-CM Platform & Model Development - Differentiation & QC: Lead the generation, characterization, and maintenance of iPSC lines and their differentiation into cardiomyocytes, with rigorous quality control at each stage of the pipeline - 2D & 3D Formats: Design, implement, and optimize iPSC-CM assays in both 2D monolayer and 3D/engineered heart tissue (EHT) formats, with a focus on scalability and data quality - Genetic Disease Models: Build and apply isogenic iPSC-CM disease models — including CRISPR-edited lines carrying disease-associated variants — to study cardiovascular pathophysiology Functional Assays & Disease Modeling - Functional Readouts: Develop readouts of cardiomyocyte biology relevant to disease —contractility, electrophysiology, calcium handling, stress responses — in formats compatible with high-throughput data acquisition - Rigor & Reproducibility: Drive documentation, SOPs, and data standards that ensure reproducible, publication-quality results across the cardiac biology platform ML & Cross-functional Partnership - Experiment Design for ML: Partner with ML and computational biology teams to design experiments that generate high-quality training data and to interpret model outputs in biological context - Target Identification: Contribute to target identification and validation efforts by connecting cellular phenotypes to human genetic evidence Scientific Leadership - Mentorship: Mentor junior scientists and technicians, and contribute to a collaborative, scientifically rigorous team culture ABOUT YOU Experience & Qualifications - Advanced Degree: Ph.D. in cell biology, biomedical engineering, cardiac physiology, or a related field, with at least 3 years of industry experience - iPSC-CM Expertise: Deep hands-on experience in iPSC culture, cardiac directed differentiation, and iPSC-CM characterization across both 2D and 3D/EHT platforms - Genetic Disease Modeling: Track record building and applying genetic iPSC-CM disease models — patient-derived lines, CRISPR-edited isogenic pairs — to study cardiovascular mechanisms - Cardiovascular Biology: Strong foundational knowledge of cardiomyocyte biology and cardiovascular disease - High-Content Imaging: Experience with high-content imaging and/or automated microscopy platforms, including image analysis pipelines - Human Genetics: Familiarity with GWAS and human genetic evidence, and experience using these data to prioritize disease mechanisms or therapeutic targets - Scientific Communication: Track record of executing rigorous experiments and communicating findings clearly in publications, presentations, or internal reports Core Competencies - ML Curiosity: You're enthusiastic about working alongside ML scientists and understand how experimental design shapes what a model can learn - Builder Mentality: You thrive building systems from the ground up and bring the same rigor to a new workflow as to a published experiment - Cross-functional Collaborator: You work fluidly across biology, computation, and chemistry, and communicate clearly across disciplines - Independent & Adaptive: You drive projects forward independently in a fast-paced environment while staying aligned with team priorities COMPENSATION & BENEFITS AT INSITRO Our target starting salary for successful US-based applicants for this role is $156,000 - $166,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies. In addition, insitro also provides our employees: - 401(k) plan with employer matching for contributions - Excellent medical, dental, and vision coverage as well as mental health and well-being support - Open, flexible vacation policy - Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc) - Quarterly budget for books and online courses for self-development - New hire stipend for home office setup - Monthly cell phone & internet stipend - Access to free onsite baristas and daily lunch for employees who are either onsite or hybrid - Access to a free commuter bus network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams–grounded in a wide range of expertise and life experiences–and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process. Please be aware of recruitment scams: we never request payments, all recruitment communications are from @insitro.com http://insitro.com, and if in doubt, contact us at info@insitro.com. #LI-Onsite About insitro insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro’s approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit www.insitro.com http://www.insitro.com.
Senior Director, Quality Assurance
THE OPPORTUNITY insitro is a physical AI company dedicated to unlocking causal human biology and accelerating the delivery of better medicines to patients. Our unique Virtual Human™ platform identifies novel, high-impact genetic intervention points, which our TherML™ platform translates into therapeutics—whether small molecules, biologics, or oligos. With multiple programs in metabolic disease and neuroscience advancing toward the clinic, and our first IND submission slated for the second half of this year, we are at a pivotal inflection point. We are looking for a Senior Director of Quality Assurance to build a pragmatic, inspection-ready quality function for clinical-stage operations. You will own insitro's approach to GMP and GCP quality, clinical data quality oversight, and data integrity, at the intersection of outsourced development, clinical execution, and AI-enabled R&D. This is a senior individual contributor role, with growth opportunities as our pipeline grows. You will be personally accountable for building insitro’s Quality systems: standing up our QMS and SOPs, overseeing or conducting vendor/site audits, while serving as the company's quality voice with executives, partners, and the board. Based in South San Francisco, this position reports directly to the Chief Technology Operations Officer and offers an in-person hybrid schedule of either three days per week or one full week per month. RESPONSIBILITIES Quality Management System - Own the Operating System: Lead the evolution of insitro's QMS beyond initial setup into an active, effective system - Build and Scale Core Processes: Mature CAPA, deviations, change control, training, and document management to support organizational growth - Author the Standards: Write, revise, and implement SOPs, policies, and quality workflows as the business requires GXP Oversight & Vendor Quality - Qualify and Audit Partners: Own qualification, audits, and quality agreements across CDMOs, CROs, and investigator sites - Facilitate GMP Release: Provide hands-on oversight of product release, batch record review, stability programs, and annual product reviews through Phase 2 in partnership with CMC - Own Clinical Quality: Lead TMF quality, clinical audit planning, and sponsor oversight activities in partnership with clinical operations and data management - Drive Inspection Readiness: Prepare the organization for pre-IND, IND, and BIMO milestones and lead sponsor-side response to findings Data Integrity & AI-Enabled Workflows - Set the Data Integrity Bar: Define expectations for documentation, traceability, review, and change control from raw biological data through clinical insight - System and Data Validation: Partner with Compute and Data Science on model documentation, change control, and validation approaches for clinical applications of AI/ML outputs informing patient selection, biomarker selection, and trial design - Manage Continuous Change: Develop phase-appropriate approaches to model drift and evolving algorithms that hold up under regulatory scrutiny Executive & Cross-Functional Leadership - Support External Discussions: Contribute quality and data integrity context to partnership and diligence conversations as needed - Build Credibility Across Functions: Partner with research, clinical, regulatory, CMC, and data science teams to integrate quality into workflows, and development approaches ABOUT YOU Experience & Qualifications - Proven Tenure: 12+ years in pharma or biotech quality, with progression into senior QA leadership. - Small-Company Track Record: You have advanced a molecule from preclinical development through IND and into Phase 2 or beyond in a resource-constrained environment with substantial outsourced execution. - GXP Bridge: Deep expertise in either GMP or GCP with genuine working competence in the other. - Systems Builder: Hands-on experience configuring or materially building a QMS such as ZenQMS, Veeva Vault QMS, Qualio, MasterControl, or TrackWise. - Data Integrity Command: Strong grounding in data integrity and computer system validation fundamentals, including ALCOA+, 21 CFR Part 11, GAMP 5 categorization, and audit trail review. - Inspection Experience: You have participated in sponsor-side FDA GMP or BIMO inspection. AI & Data Fluency - Emerging Regulatory Awareness: You follow how regulators are approaching AI/ML in regulated environments and can reason about where the expectations are heading. - Applied Context: You are familiar how AI/ML can be applied to informed discovery, biomarker selection, dose selection, or trial design. - Translation Over Expertise: You can be the quality voice in a room of ML engineers/data scientists without needing to be an ML expert yourself. Core Competencies - Risk-Based and Pragmatic: You build fit-for-stage processes with the judgment to know when something is over-engineered. - Hands-On Operator: You are energized by rolling up your sleeves, writing the SOP, conducting the audit, and standing up the system. - Cross-Functionally Credible: You communicate quality and data integrity posture clearly to audiences who are not quality people. COMPENSATION & BENEFITS AT INSITRO Our target starting salary for successful US-based applicants for this role is $273,000 - $290,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies. In addition, insitro also provides our employees: - 401(k) plan with employer matching for contributions - Excellent medical, dental, and vision coverage as well as mental health and well-being support - Open, flexible vacation policy - Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc) - Quarterly budget for books and online courses for self-development - Support to attend professional conferences that are meaningful to your career growth and role's responsibilities - New hire stipend for home office setup - Monthly cell phone & internet stipend - Access to free onsite baristas and daily lunch for employees who are either onsite or hybrid - Access to a free commuter bus network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams–grounded in a wide range of expertise and life experiences–and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process. #LI-Hybrid Please be aware of recruitment scams: we never request payments, all recruitment communications are from @insitro.com http://insitro.com, and if in doubt, contact us at info@insitro.com. About insitro insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro’s approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit www.insitro.com http://www.insitro.com.
Director of Product Marketing
About Inflection AI Inflection AI is a Public Benefit Corporation empowering people with human-centered, emotionally intelligent AI. We’re shaping the future of AI by combining emotional intelligence (EQ) and raw intelligence (IQ) to elevate people’s potential. Inflection AI created Pi, the world’s first emotionally intelligent AI, to help people work through decisions, emotions, and challenges. Pi is a personal AI agent powered by Inflection AI’s foundation model, proving that AI can be personal, empathetic, and contextually aware. About the Role Reporting to the Head of Communications, you'll partner closely on strategy and messaging, and then own how that narrative reaches the market: product launches, content and editorial, social, technical thought leadership, community, and more. This is a senior individual contributor role for someone who has run marketing before and who can move fluidly between strategic thinking and hands-on execution. You'll set the strategy for your surfaces, build the systems that let a lean team publish and launch like a much bigger one, and hold a high bar for quality and craft. What You'll Do Product Marketing - Own product launches end to end, including messaging, timing, assets, and cross-functional alignment, so each release builds on the last and compounds into a larger story - Translate product and technical capabilities and the research behind it into positioning and messaging frameworks the rest of the company builds on - Own competitive and market intelligence: track the AI landscape and turn it into clear implications for positioning, product, and go-to-market Content Marketing - Own content strategy and the editorial engine behind it: the cadence, quality bar, and AI-assisted workflows that turn a small team's expertise into durable awareness and organic reach - Write and produce flagship long-form work (essays, guides, whitepapers) and the short-form copy that carries that content across channels - Represent the brand voice and day-to-day presence on social, growing an audience that compounds over time - Partner with product, research, and engineering teams to produce technically credible work that features accessibility without dilution Technical Thought Leadership - Build the company's technical thought leadership program: work with executive, research, engineering and product teams to surface the ideas worth sharing, then shape them into essays, talks, and threads that stand out in a crowded market - Help establish Inflection AI as a market leader in personal intelligence and emotionally intelligent AI Community - Own and grow the community channels. Build real relationships with practitioners, researchers, and power users to expand the company’s reach - Represent Inflection AI where technical credibility is the price of admission What We’re Looking For - 10–15 years of marketing experience, with meaningful time owning content or marketing at consumer software or AI/ML companies - A track record of building content-led growth — audiences, editorial operations, launch programs — and the judgment to know which levers matter - Strong writer who moves between technical and accessible without losing substance - A true owner: you align on narrative and direction with leadership, then run your lanes with autonomy and accountability for outcomes - Comfortable executing across cross-functional teams - Low ego, high output; you take pride in the work itself - Fluency in the AI/ML landscape — the players, the discourse, and where it's headed - Have a bachelor’s degree or equivalent in a related field to the offered position requirements Employee Pay Disclosures At Inflection AI, we aim to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contributions to the company. For this role, Inflection AI estimates a starting annual base salary to fall within the range of $180,000 to $280,000 , depending on a candidate’s qualifications and level of experience. This role also includes a meaningful equity component, allowing employees to share in the long-term success of the company. Benefits Inflection AI values and supports our team’s mental, emotional, financial and physical health. We are focused on building a positive, safe, inclusive and inspiring place to work. Our benefits include: - Robust medical, dental and vision options with employer contributions for HSA, FSA and DFSA - 401k matching program - Flexible Time Off, 10 paid holidays, 5 days sick leave - Parental, Medical and Family care leave - Generous cell-phone, wellness and office set up stipends - Support of country-specific visa needs for international employees living in the Bay Area
Data Analyst
Help Build the Future of Healthcare AI Infinitus is AI communications in service of patients. Healthcare is inherently complex and siloed. We’re pioneering agentic communications to connect the entire system — any stakeholder, any channel, inbound and out. The result is intelligent care that reduces patient anxiety, increases speed to treatment, and enables teams to scale impact without stretching resources. Our system combines industry-leading safety guardrails with the largest dynamic knowledge graph built on millions of real-world interactions. It’s why 44% of the healthcare Fortune 50 trusts Infinitus to turn fragmented touchpoints into seamless care for better patient outcomes. The Mission At Infinitus, our mission is simple: create time for healthcare by making access, adherence, and affordability easier than ever. We’ve automated over 7 million calls and 100M+ minutes of conversation — saving millions of hours for patients and providers. Backed by over $100M from top investors including Google Ventures, Kleiner Perkins, Andreessen Horowitz, and Coatue, we’re a team that challenges the status quo and moves fast at the intersection of AI and healthcare. Infinitus was recently named to Fast Company's World's Most Innovative Companies and Business Insider’s top startups in healthcare. Your Role We’re looking for a Data Analyst to help guide the evolution of our analytical ecosystem, ensuring our data isn’t just accessible, but deeply insightful and actionable across the company. In this role, you’ll be hands-on with complex data exploration, advanced modeling, and the translation of messy healthcare data into clear strategic narratives. You’ll partner closely with our product pods and business leaders to solve high-stakes problems, while also helping define the standards for how we model metrics and validate insights. You’ll bring modern practices to how we conduct deep-dive analyses and build scalable reporting, while helping other analysts and stakeholders level up their ability to work with data. There are also opportunities to develop skills in AI-assisted analytics, analytics engineering (dbt), advanced experimentation design, and in-depth healthcare data governance, should these areas interest you. Our team’s mission is to deliver high-fidelity insights and intuitive data assets that empower our internal teams to make faster, more confident decisions when identifying product opportunities, troubleshooting operational bottlenecks, and measuring our impact Your Impact Build Analytical Capacity: Create the frameworks, metric standards, and shared methodologies that empower partner teams to self-serve and unlock new, scalable use cases for insights. Shape our Analytical Rigor: Help define our standards for hypothesis testing, experimentation design, and statistical validation. You’ll own the best practices for how we interpret data and ensure "truth" remains consistent as we grow. Drive Strategic Decisions: Partner with leaders to turn complex data into a clear path forward, providing the insights that help us decide what to build next and where to invest our resources. Uplift the Craft: Help partner teams design better experiments, interpret data more accurately, and ship better insights through technical guidance, documentation, and training. Scale the Insight Loop: Expand and maintain automated reporting, alerting, and validation processes that ensure we can monitor performance and identify trends with total confidence. Ensure Governance by Design: Integrate rigorous data integrity, privacy, and compliance standards into the analytical workflow, ensuring our insights are as secure as they are actionable. Your Skillset 5+ years of professional experience in data analytics, with a track record of tackling complex problems and delivering high-stakes insights. Deep fluency in SQL, with the ability to write sophisticated, maintainable queries that serve as a foundation for reliable analysis. Strong proficiency in Python or R for advanced data manipulation, statistical modeling, and hypothesis testing. Comfortable exploring ambiguity and translating open-ended business questions into well-defined analytical solutions. Expertise in analytical methodology, including statistical validation, optimization models, and the ability to interpret trends within messy, multi-source data. Hands-on with modern visualization and dashboarding tools (e.g., Sigma, Hex, Tableau, or Looker) to build intuitive data assets and clear narratives. Mastery of communication, specifically the ability to translate technical findings into a clear path forward for product teams and executive leadership. Excited to help others grow in their use of data and level up the team's collective analytical rigor. Why You’ll Love It Here Please Note: the following benefits are for salaried employees - Hybrid work (SF office Mon/Tues/Thurs) + catered lunches (Bay Area Positions only) - Competitive salary, equity, and 401(k) - Wellness stipend & great benefits (medical, dental, vision) - Generous PTO & parental leave - Bi-annual offsites & a collaborative, mission-driven culture What to Expect in the Interview Process - Apply & meet our recruiting team - Virtual interviews to showcase your skills - Final onsite loop to meet the team and get to know us better - Chat with our CEO Curious to Learn More? - Read our Blog https://www.infinitus.ai/blog/ to hear from Infinauts about what we’re building - Discover how our company values (CODES https://www.infinitus.ai/careers/) guide us - Follow our CEO, Ankit Jain https://www.linkedin.com/in/jainankit/recent-activity/all/, for industry updates We’re building AI agents that tackle healthcare’s toughest problems and open new possibilities. Ready to join us? Let’s talk! Infinitus Systems is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Infinitus Systems believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Please Note: Applicants must be authorized to work in the US without employer sponsorship.
Leading data-driven lab for AI medicines
At Inceptive, you will help pioneer the next generation of AI-designed drugs, with the potential to positively impact billions of people, as part of a collaborative, antedisciplinary team. Training on natural and experimentally-derived data is a core aspect of how our AI models learn to generate therapeutic molecules with exceptional properties. We invest deeply in building and scaling data sources to train and evaluate our models for maximal performance. At the same time, careful validation in orthogonal, translationally-relevant assays is crucial to orient our models. We are seeking a senior scientific leader versed in high-throughput and translational biology to drive the continued growth and impact of our Palo Alto Lab. You will be a force multiplier for our scientists and engineers, ensuring a high standard of scientific rigor and output in a fast-paced, dynamic environment. You will also interface closely with our AI team to maximize the impact of internal data on Inceptive’s foundation models. Your Mission, should you choose to accept it - Lead development and scale-up of high-throughput assays across in vitro, cellular, and in vivo systems, leveraging multiplexed assays and laboratory automation - Define and execute a lab strategy aligned with Inceptive’s therapeutic and platform priorities, while remaining flexible as modality and partnership needs evolve - Champion an antedisciplinary culture, encouraging curiosity, rigor, and collaboration across scientific boundaries - Manage, mentor, and develop a multidisciplinary team of scientists and engineers that rapidly generates high-impact biological data to improve and validate AI design models - Oversee the development of industry-standard validation assays to keep models and data generation aligned with downstream therapeutic application Qualifications - PhD and 6+ years of post-PhD experience in industrial research applied to drug development - Experience managing and mentoring a data-driven lab of 10+ scientists - Experience using high-throughput and/or highly multiplexed assays to generate rich datasets from mammalian cells - Proven ability to set scientific direction while also executing operationally - Deep understanding of theory, techniques, and experimental design in molecular and cellular biology - Visualization, analysis, and statistics applied to complex biological datasets - Availability to work with team members across US and Europe, with meetings starting at 7am PT - Readiness to travel several times a year for company retreats and business events - We value in-person collaboration and expect candidates to work at our lab location Preferred skills - Translational experience with mRNA, oligonucleotides, or other genetic medicines - Expertise in immunology and/or cell therapy - Hands-on experience in RNA biology and biochemistry - Scientific programming in Python - Hands-on experience with modern data engineering workflows Compensation $221K – $305K + Bonus + Equity What we offer - A competitive compensation package - 30 days paid vacation per year - Comprehensive health insurance for US based Beginners - 401K with company match for US based Beginners and Direktversicherung for German Beginners - Quarterly company-wide retreats - Monthly wellness benefit - Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland - Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth - A buddy to help you get settled *Varies by country and does not apply to internships At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields. We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations. We are building a company culture centered around growth, learning, and discovery. We believe in humility and open-mindedness in how we approach each other, as well as problems we don't yet have solutions for. It is the policy of Inceptive to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Inceptive prohibits any such discrimination or harassment. Inceptive is also committed to welcoming and providing accommodations to people with disabilities. Please let us know if you need any accommodations throughout your application process.
Head of Regulatory Affairs & Quality Control
ABOUT THE ROLE The Head of Regulatory Affairs and Quality Control (RA/QC) is responsible for leading and executing global and domestic regulatory strategy, filings, and compliance activities for AI-driven SaMD products. This role requires a practitioner who not only knows FDA culture and regulatory frameworks, but can also operationalize them, drafting documents, building processes, and coordinating cross-functional activities. Successful candidates will be able to interface with our customer’s regulatory leads to ensure alignment and successful deployment of our AI in the pharma and medtech space. This role reports to the VP of Strategy and will work closely with our , , clinical, and engineering, and LLM model teams. WHAT YOU'LL DO REGULATORY STRATEGY & EXECUTION - Help develop and support regulatory strategies and submissions for AI-enabled SaMD products, including classification, marketing applications (e.g., NDAs, De Novo, 510(k)), and pre-submission pathways. - Help develop and support regulatory documentation that enables our customers in the pharma and medtech space to meet their compliance obligations when using Hippocratic AI’s products. - Lead hands-on preparation of regulatory submissions with Legal: drafting sections, coordinating data inputs, managing timelines, and ensuring high-quality documentation. - Translate regulatory requirements into specific, actionable tasks for clinical, product, engineering, and quality teams. - Oversee and advance global and domestic regulatory and compliance initiatives, maintaining scientific accuracy, proactively managing risk, and keeping the organization aligned with changing regulatory expectations. REGULATORY COMPLIANCE - Build, manage, and continuously improve a practical regulatory compliance structure across SaMD development lifecycles. - Collaborate with legal, engineering, clinical, product, and quality teams to ensure compliance with applicable regulations, including 21 CFR Parts 210 and 211, 21 CFR Part 820, SaMD guidance, AI/ML-specific expectations and guidance, cybersecurity, and labeling requirements. - Help design, support, and maintain a compliant regulatory framework and Pharma-partner guidelines, including iterative AI development, model updates, QMS and GMP requirements, audits and inspections, real-world performance, and post-market monitoring and mitigation. - Develop and maintain SOPs, controlled documents, audit readiness materials, and inspection response processes. - Stay ahead of evolving regulatory policies and draft internal guidance to translate new requirements into clear action for cross-functional teams. - Interact with customer regulatory leads to facilitate deployment of Hippocratic’s solutions with customers in the pharma and medtech industry. CROSS-FUNCTIONAL LEADERSHIP - Partner with product, engineering, and clinical teams during development to define regulatory requirements early and de-risk product strategy. - Educate technical and clinical teams on regulatory expectations, FDA and pharmaceutical industry norms, and quality documentation needs. - Drive internal regulatory training and ensure that cross-functional teams have clear guidance, templates, timelines, and expectations. - Bring creative, practical solutions to regulatory challenges inherent in AI technology in the healthcare space. INNOVATION & PROCESS BUILDING - Build lightweight regulatory processes appropriate for a startup environment without sacrificing compliance. - Use regulatory knowledge to enable innovation, not block it - finding pathways that support speed, safety, and responsible AI. - Identify gaps in regulatory readiness and implement corrective actions proactively. - Contribute to internal playbooks, templates, and scalable processes across regulatory and compliance functions. WHAT YOU BRING MUST-HAVE: - 8+ years of regulatory affairs experience spanning medical devices, and digital health, related FDA-regulated products. - Bachelor’s degree in life science required. - Experience working at the FDA or directly interfacing extensively with FDA. Strong experience with FDA regulations and regulatory landscape. - Strong understanding of industry, including clinical trials, drug and device development, patient support services, ad/promo, pharmacovigilance, and post-market activities - Demonstrated experience preparing and submitting INDs, NDAs/BLAs, 510(k)s, De Novos, PMAs, supplements, and/or Q-subs. - Strong experience with drug, device, and SaMD development, submissions, and regulatory pathways. - Familiarity with AI-enabled medical technologies, machine learning considerations, and evolving FDA expectations for AI/ML. - Demonstrated ability to thrive in fast-paced, dynamic startup environments with limited structure and high ownership. - Excellent written and verbal communication skills, especially for FDA submissions and internal education. NICE-TO HAVE: - Experience working in a startup or emerging-growth private company. - Prior leadership experience building regulatory frameworks or managing cross-functional initiatives. - PhD, PharmD or Master's degree preferred. RAC certification or equivalent is a plus. WHAT WE’RE LOOKING FOR - A regulatory leader who combines strategic thinking with detailed operational follow-through. - Someone who respects regulatory structure but is creative, innovative, and solutions-oriented. - A builder who wants to create the regulatory foundation for both advanced AI systems and traditional drug/device programs. - A collaborator who can work seamlessly with clinical, technical, product, and executive teams. WHY JOIN HIPPOCRATIC AI Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation. Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative. EQUAL OPPORTUNITY Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com. Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.
Forward Deployed Engineer (Mid/Senior) - Remote w/...
ABOUT THE ROLE ROLE MISSION As HAI's Forward Deployed Engineer, you will be the technical owner of AI deployments that directly transform how health systems operate. You'll embed with customers to build, launch, and operate production conversational AI agents—architecting systems that handle real clinical workflows and impact thousands of patient interactions. This role exists because healthcare organizations are ready to deploy breakthrough AI at scale, and they need a world-class AI engineer who can build reliable, innovative systems in the field. WHAT YOU WILL ACCOMPLISH Own your first major outcome: By day 90, you will have completed end-to-end ownership of your first AI deployment: designed and implemented a RAG pipeline grounded in customer data, built tool-calling and MCP integrations connecting our agents to customer systems (EHRs, data warehouses, operational tools), executed a production go-live with zero surprises, and established monitoring that catches anomalies before customers do. Drive lasting impact: At 12 months, you will have deployed multiple agents across your assigned health system, built reusable AI patterns and frameworks that accelerate future deployments, become the trusted technical partner that customers rely on to solve their hardest AI problems, and generate measurable evidence that our agents improve operational reliability and clinical outcomes—validating our technology in production healthcare environments. THE TEAM You'll work alongside Deployment Strategists, engineers, and clinical experts—embedded with customers but tightly connected to our core AI team. You'll operate with high technical ownership and autonomy in the field, with direct access to our product, ML research, and engineering leadership. This is a culture of shipping real systems, owning outcomes, and solving problems before they become crises. WHAT YOU WILL DO - Design and implement RAG pipelines that ground conversational AI responses in customer clinical data, ensuring accuracy, safety, and relevance to healthcare workflows while managing retrieval latency and data governance - Build tool-calling and Model Context Protocol (MCP) architectures that enable AI agents to interact securely with customer systems—EHRs (Epic, Cerner, Athena), data warehouses, and operational tools—handling errors gracefully and enforcing safety constraints - Develop production Python code using LangChain, LangSmith, and modern AI frameworks to implement advanced LLM techniques (RAG, prompt engineering, LLM-as-judge, chain-of-thought reasoning) solving novel healthcare AI problems - Execute end-to-end deployments including infrastructure setup, integration testing, production monitoring configuration, cutover planning, and go-live execution—ensuring deployments happen on schedule without surprises - Monitor and own production systems by instrumenting deployed agents, responding quickly to incidents, troubleshooting issues collaboratively with customers, and implementing fixes that keep systems running reliably - Partner with customers as technical expert, explaining AI system architecture, helping teams understand capabilities and limitations, and building confidence in the solution through proactive communication and problem-solving Location and Travel Requirements The role can be based in any of the 41 states, except the following: 1. Alaska 2. Connecticut 3. Delaware 4. North Dakota 5. West Virginia 6. New Mexico 7. Hawaii This role has a travel requirements of 25-40%. BASIC QUALIFICATIONS - Bachelor's degree in Computer Science, Software Engineering, or a related technical field - 3+ years of professional software engineering experience with strong Python fundamentals and production software development experience - Hands-on experience with LLM frameworks (LangChain, LangSmith, or similar) and deep understanding of modern LLM development patterns and best practices - Deep expertise in LLM techniques including retrieval-augmented generation (RAG), prompt engineering, tool calling, LLM-as-judge, and related advanced patterns - Demonstrated experience building integrations with APIs, databases, or enterprise systems; comfort with async patterns, error handling, and reliability engineering PREFERRED QUALIFICATIONS - Experience with Model Context Protocol (MCP) or similar frameworks for tool integration and multi-system orchestration - Healthcare IT experience, including EHR integrations (Epic, Cerner, Athena), FHIR, HL7, or healthcare data standards - Production DevOps or infrastructure experience, including setting up monitoring, alerting, logging, and incident response systems - Track record deploying AI systems or working with LLMs in production environments, managing latency, reliability, and operational complexity - Experience in mission-critical or safety-sensitive systems where reliability and error handling are non-negotiable - Startup or high-growth technology background, particularly in technical leadership or ownership roles Our comprehensive compensation package is designed to reward your expertise and includes both a competitive base salary and valuable stock options. Individual offers are determined based on a variety of factors, including your professional experience, core competencies, and geographic location. WHY JOIN HIPPOCRATIC AI Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation. Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative. EQUAL OPPORTUNITY Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com. Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.
Forward Deployed Engineer (Mid/Senior)
ABOUT THE ROLE ROLE MISSION As HAI's Forward Deployed Engineer, you will be the technical owner of AI deployments that directly transform how health systems operate. You'll embed with customers to build, launch, and operate production conversational AI agents—architecting systems that handle real clinical workflows and impact thousands of patient interactions. This role exists because healthcare organizations are ready to deploy breakthrough AI at scale, and they need a world-class AI engineer who can build reliable, innovative systems in the field. WHAT YOU WILL ACCOMPLISH Own your first major outcome: By day 90, you will have completed end-to-end ownership of your first AI deployment: designed and implemented a RAG pipeline grounded in customer data, built tool-calling and MCP integrations connecting our agents to customer systems (EHRs, data warehouses, operational tools), executed a production go-live with zero surprises, and established monitoring that catches anomalies before customers do. Drive lasting impact: At 12 months, you will have deployed multiple agents across your assigned health system, built reusable AI patterns and frameworks that accelerate future deployments, become the trusted technical partner that customers rely on to solve their hardest AI problems, and generate measurable evidence that our agents improve operational reliability and clinical outcomes—validating our technology in production healthcare environments. THE TEAM You'll work alongside Deployment Strategists, engineers, and clinical experts—embedded with customers but tightly connected to our core AI team. You'll operate with high technical ownership and autonomy in the field, with direct access to our product, ML research, and engineering leadership. This is a culture of shipping real systems, owning outcomes, and solving problems before they become crises. WHAT YOU WILL DO - Design and implement RAG pipelines that ground conversational AI responses in customer clinical data, ensuring accuracy, safety, and relevance to healthcare workflows while managing retrieval latency and data governance - Build tool-calling and Model Context Protocol (MCP) architectures that enable AI agents to interact securely with customer systems—EHRs (Epic, Cerner, Athena), data warehouses, and operational tools—handling errors gracefully and enforcing safety constraints - Develop production Python code using LangChain, LangSmith, and modern AI frameworks to implement advanced LLM techniques (RAG, prompt engineering, LLM-as-judge, chain-of-thought reasoning) solving novel healthcare AI problems - Execute end-to-end deployments including infrastructure setup, integration testing, production monitoring configuration, cutover planning, and go-live execution—ensuring deployments happen on schedule without surprises - Monitor and own production systems by instrumenting deployed agents, responding quickly to incidents, troubleshooting issues collaboratively with customers, and implementing fixes that keep systems running reliably - Partner with customers as technical expert, explaining AI system architecture, helping teams understand capabilities and limitations, and building confidence in the solution through proactive communication and problem-solving LOCATION REQUIREMENT We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park, CA office five days a week, unless otherwise specified. BASIC QUALIFICATIONS - Bachelor's degree in Computer Science, Software Engineering, or a related technical field - 3+ years of professional software engineering experience with strong Python fundamentals and production software development experience - Hands-on experience with LLM frameworks (LangChain, LangSmith, or similar) and deep understanding of modern LLM development patterns and best practices - Deep expertise in LLM techniques including retrieval-augmented generation (RAG), prompt engineering, tool calling, LLM-as-judge, and related advanced patterns - Demonstrated experience building integrations with APIs, databases, or enterprise systems; comfort with async patterns, error handling, and reliability engineering PREFERRED QUALIFICATIONS - Experience with Model Context Protocol (MCP) or similar frameworks for tool integration and multi-system orchestration - Healthcare IT experience, including EHR integrations (Epic, Cerner, Athena), FHIR, HL7, or healthcare data standards - Production DevOps or infrastructure experience, including setting up monitoring, alerting, logging, and incident response systems - Track record deploying AI systems or working with LLMs in production environments, managing latency, reliability, and operational complexity - Experience in mission-critical or safety-sensitive systems where reliability and error handling are non-negotiable - Startup or high-growth technology background, particularly in technical leadership or ownership roles Our comprehensive compensation package is designed to reward your expertise and includes both a competitive base salary and valuable stock options. Individual offers are determined based on a variety of factors, including your professional experience, core competencies, and geographic location. WHY JOIN HIPPOCRATIC AI Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation. Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative. EQUAL OPPORTUNITY Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com. Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.
Agent Deployment Architect
ROLE MISSION As Agent Deployment Architect at Hippocratic AI, you will lead high-impact deployments that translate breakthrough AI into operational reality for health systems. You'll work embedded with customers to design, implement, and scale solutions that deliver measurable clinical and operational value—partnering with stakeholders to navigate complex provider environments and turn requirements into successful deployments. This role exists because deploying AI into health systems requires someone who understands both the technical architecture and the human workflows that make healthcare work—someone who can be a trusted advisor to customers while driving execution across functions. WHAT YOU WILL ACCOMPLISH Own your first major outcome: By day 90, you will have completed your first health system deployment from design through successful go-live, established strong relationships with key customer stakeholders, shipped documented playbooks and best practices from that deployment, and identified systemic improvements that can accelerate future implementations. Drive lasting impact: At 12 months, you will have led multiple provider deployments across different health systems and use cases, standardized deployment playbooks and operating models that make each successive implementation faster, become the trusted advisor that customers and internal teams turn to for deployment guidance, and directly proven that thoughtful deployment work translates AI research into measurable clinical and operational impact at scale. THE TEAM You'll work alongside Deployment Strategists, engineers, product managers, and clinical experts—embedded with customers while staying connected to cross-functional teams. You'll operate with high autonomy in the field while having direct access to subject matter experts. This is a culture that values execution, customer obsession, and solving problems in real healthcare environments. WHAT YOU'LL DO - Lead deployment planning and execution for provider customers end-to-end—owning timelines, scope, risk management, and ensuring successful go-live across diverse health system environments - Partner with customer stakeholders to understand operational workflows, clinical requirements, organizational constraints, and strategic goals—translating them into clear, actionable deployment designs - Translate implementation requirements into scalable solution designs that work across different provider types, EHR systems, and care delivery models—balancing customization with standardization - Drive cross-functional coordination across deployment, product, engineering, and go-to-market teams—ensuring alignment, unblocking issues, and keeping deployments on track through strong project ownership - Identify and resolve deployment risks proactively—flagging potential blockers early, collaborating on solutions, and maintaining momentum through complex healthcare operational challenges - Design and standardize deployment best practices, playbooks, and operating models based on learnings from each implementation—codifying what works so future deployments are faster, more reliable, and more scalable - Serve as trusted advisor to customers during rollout and adoption—helping them navigate change management, training clinical and operational teams, and ensuring they achieve their desired outcomes LOCATION REQUIREMENT This is a United States-based role open to candidates across multiple markets. We welcome applications from providers and healthcare professionals in the U.S. Specific placement, travel expectations, and regional alignment will be determined during the hiring process based on your location, customer proximity, and deployment portfolio needs. You should expect regular travel (typically 25–40% depending on deployment schedule) to customer sites for on-site implementation work, training, and go-live support. REQUIRED QUALIFICATIONS - Experience in deployment, implementation, solutions architecture, technical consulting, or a related customer-facing role working with enterprise or healthcare customers - Strong understanding of provider-side healthcare workflows, operations, and systems—either from direct experience working in health systems or from implementing solutions in provider environments - Proven ability to manage complex customer engagements with multiple stakeholders across clinical, operational, IT, and executive levels—navigating competing priorities and building alignment - Excellent communication skills, especially in translating between business and technical audiences—able to explain complex technical concepts to non-technical stakeholders and vice versa - Strong problem-solving skills with comfort working in ambiguous, fast-moving environments where requirements evolve and challenges are novel - Track record of driving execution and delivering results across cross-functional teams—demonstrating ownership, accountability, and ability to move projects forward despite obstacles - required BA/BS degree PREFERRED QUALIFICATIONS - Direct experience working with hospitals, health systems, provider groups, or adjacent provider organizations in a deployment, implementation, or consulting capacity - Deep familiarity with healthcare operational workflows and implementation challenges—including EHR integration, clinical workflow mapping, change management, and regulatory requirements - Experience designing and scaling repeatable deployment processes across multiple customer environments—building playbooks and frameworks that work across different provider types - Track record of balancing strategic planning with hands-on execution—comfortable doing both high-level architecture and detailed implementation work - Familiarity with healthcare compliance and operational requirements (HIPAA, state regulations, quality reporting, clinical governance) - Experience with AI, digital health, or clinical decision support tools deployed in healthcare settings WHY JOIN HIPPOCRATIC AI Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation. Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative. EQUAL OPPORTUNITY Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com. Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.
Senior Tech Recruiter
WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. ABOUT THE ROLE We're looking for a Senior Tech Recruiter to own our most important and hardest technical searches across Engineering, ML & Research, Data, Infrastructure, and Security. You'll partner closely with technical leaders to hire senior engineers, researchers, and technical leaders who can operate at the frontier of generative AI. You'll also bring structure and market expertise that help the wider team hire better. WHAT YOU'LL DO - Own full-cycle recruiting for senior and hard-to-fill technical roles across Backend, Frontend, ML, Research, MLOps, Data, Infrastructure, and Security. - Partner with technical hiring managers to define role requirements, candidate profiles, and interview processes. - Build talent maps of top engineering and ML teams in the region and internationally. - Proactively source passive senior candidates through LinkedIn Recruiter, GitHub, technical communities, referrals, and AI sourcing tools. - Screen candidates for technical depth, seniority, motivation, and product impact. - Lead offer conversations and close senior candidates who are weighing competing offers. - Advise hiring teams on talent availability, compensation, and market conditions. - Keep pipelines, scorecards, and role context accurate and up to date in Ashby. - Share sourcing strategies and market insights with other recruiters on the team. YOUR MUST HAVES - 5+ years of technical recruiting experience, including senior and leadership-level hires. - Proven track record hiring senior Software Engineers, ML Engineers, Researchers, or Data professionals. - Solid understanding of modern engineering and ML teams, including infrastructure, model training, data systems, and production environments. - Strong sourcing skills with experience engaging passive senior candidates. - Proven ability to close candidates in competitive offer situations. - Ability to earn the trust of senior technical leaders as a recruiting partner. - Experience using Ashby and LinkedIn Recruiter. - Excellent written and verbal English and Russian. NICE TO HAVES - Experience hiring for AI, ML, generative media, or high-growth startups. - Existing network among engineers and researchers in Kazakhstan, the CIS, or Europe. - Experience using AI sourcing and automation tools. - Experience hiring for security or other niche technical profiles. THE DEAL - Competitive salary in USD. - On-site role in Almaty office. - Full-time position.
Security Infrastructure Engineer (Almaty)
WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. Role Overview We're looking for a hands-on Infrastructure Security Engineer to own security across our cloud and ML infrastructure — the platform that trains our models and serves millions of generations a day. The work spans tenant isolation for user-deployed apps, GPU cluster security, and model protection from training pipeline to serving. You'll sit between Security, DevOps, and ML Engineering. You'll own both immediate implementation work and long-term operational responsibility: cloud and ML infrastructure security, vulnerability management, monitoring, and access governance. KEY RESPONSIBILITIES We are looking for someone with experience in scaling high-growth startups who can make an immediate impact in the following areas: Cloud & Network Security - Evaluate, implement, and maintain cloud security tooling. - Own infrastructure and container vulnerability management across our cloud environments, and drive remediation. - Design and implement network segmentation to tighten internal security boundaries. - Build centralized security monitoring across cloud infrastructure. Corporate Access Control - Own access governance and credential management across cloud and internal tooling. - Partner with Engineering, DevOps, and IT to raise identity and access management standards. Technical Leadership: - Set the technical direction for infrastructure security and lead cross-functional projects turning the standards you set into tooling and guardrails engineers actually ship with. Requirements: Few people will match all of these. If you're strong on some and eager to learn the rest, apply anyway. - 7+ years in infrastructure security or security engineering, including time at a high- growth startup. - Deep hands-on experience securing a major cloud provider and a container orchestrator, managed with infrastructure-as-code (AWS, Kubernetes, Terraform). - Experience securing ML workloads — training or inference infrastructure, GPU clusters, or model-serving platforms. - Solid networking, operating systems, and cryptography fundamentals. - Strong grasp of container and infrastructure security practices and vulnerability management. - Comfortable working cross-functionally with DevOps, Engineering, and ML teams; able to independently find and close security gaps. - High agency. Nice to have - Experience with sandboxing, container isolation, or secure execution environments for untrusted code. - Experience with CSPM rollouts. - Incident response and security monitoring experience. - Familiarity with SOC 2 or similar frameworks. WHAT WE OFFER: - Competitive base salary in USD - Equity: participation in the company’s stock option program, giving you the opportunity to share in the company’s long-term growth. - On-site role in our Almaty office (we will relocate you from anywhere).
Security Infrastructure Engineer
WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. ROLE OVERVIEW We're looking for a hands-on Infrastructure Security Engineer to own security across our cloud and ML infrastructure — the platform that trains our models and serves millions of generations a day. The work spans tenant isolation for user-deployed apps, GPU cluster security, and model protection from training pipeline to serving. You'll sit between Security, DevOps, and ML Engineering. You'll own both immediate implementation work and long-term operational responsibility: cloud and ML infrastructure security, vulnerability management, monitoring, and access governance. KEY RESPONSIBILITIES Cloud & Network Security - Evaluate, implement, and maintain cloud security tooling. - Own infrastructure and container vulnerability management across our cloud environments, and drive remediation. - Design and implement network segmentation to tighten internal security boundaries. - Build centralized security monitoring across cloud infrastructure. Corporate Access Control - Own access governance and credential management across cloud and internal tooling. - Partner with Engineering, DevOps, and IT to raise identity and access management standards. Technical Leadership: - Set the technical direction for infrastructure security and lead cross-functional projects turning the standards you set into tooling and guardrails engineers actually ship with. Requirements: - 7+ years in infrastructure security or security engineering, including time at a high- growth startup. - Deep hands-on experience securing a major cloud provider and a container orchestrator, managed with infrastructure-as-code (AWS, Kubernetes, Terraform). - Experience securing ML workloads — training or inference infrastructure, GPU clusters, or model-serving platforms. - Solid networking, operating systems, and cryptography fundamentals. - Strong grasp of container and infrastructure security practices and vulnerability management. - Comfortable working cross-functionally with DevOps, Engineering, and ML teams; able to independently find and close security gaps. - High agency. Nice to have - Experience with sandboxing, container isolation, or secure execution environments for untrusted code. - Experience with CSPM rollouts. - Incident response and security monitoring experience. - Familiarity with SOC 2 or similar frameworks. COMPENSATION & BENEFITS • We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. • Base Salary: The anticipated salary range for this role is $165,000 - $250,000, depending on experience, skills, scope, and location. • Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. • • Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally • The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. • Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.
Engineering Director, Agent Context
ABOUT HEX Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today’s data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp https://hex.tech/customers/ramp/, Figma https://hex.tech/customers/figma/, Stubhub https://hex.tech/customers/stubhub/, Anthropic, and Gamma love Hex https://www.g2.com/products/hex-tech-hex/reviews for our beautiful UI, agentic superpowers, and boundless flexibility. Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we’re a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video https://www.youtube.com/watch?v=qAXsnrNlavk and employee handbook https://www.notion.so/hexhq/Hex-Handbook-9fff0d42860e4f70815c599e0d1664d6 to learn more about what it’s like to work at Hex. ABOUT THE ROLE We are looking for an experienced engineering leader to drive the strategy, execution, and growth of Hex’s state-of-the-art AI context platform. Our ambition is simple but powerful: Hex should get better every time you use it. With tens of thousands of people relying on Hex daily to do deep analytical work, we are uniquely positioned to learn from usage and continuously improve the intelligence of our system. The Context Studio is at the heart of this vision. It is the surface area where users can understand how AI agents interact with their data, identify where quality falls short, and actively improve the context that drives better outcomes. We are building an entirely new development lifecycle for context, one that blends human insight with automated learning and iteration. The broader AI landscape is evolving quickly, and our team is tackling foundational questions such as how to detect and debug failures in agent reasoning, how to structure and manage business context effectively, how to balance human-in-the-loop systems with autonomous improvement, and how to integrate our context layer with the growing ecosystem of AI-powered tools and workflows. WHAT YOU WILL DO - Lead an organization of multiple teams working on Hex’s context platform - Serve as people manager for line-level engineering managers, tech leads, and senior ICs, setting a high bar and empowering them to do their best work - Recruit exceptional engineering talent, growing to a team of at least 15 software engineers - Drive technical strategy, review designs, and occasionally get hands on to move the needle ABOUT YOU - 5+ years experience leading engineering teams working on complex, data-intensive, or AI-driven products and SaaS platforms - Exceptional ability to identify and design the right technical abstractions to accelerate an ambitious and evolving product vision - Deep curiosity for, and strong intuition about, state-of-the-art AI agent behavior and context systems - Proven track record as a people manager, with experience (or clear potential) managing managers and scaling high-performing teams - Brings a clear playbook for building high-performing teams: setting clear technical standards, hiring and developing strong talent, and creating environments where extraordinary engineers can do their best work - Deeply technical leader who is not afraid to roll up your sleeves and get hands on when necessary OUR STACK Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack. LOCATION & COMPENSATION This is a full-time role, based out of our New York, NY office hub. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days. Salary range: $262,000-$348,500 In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off. The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process. By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.
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