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Updated 14 Nov 2026, 08:41 UTC

Senior Enterprise Account Executive (Midwest Terri...

Negotiable

(Primary locations for hiring will be in Chicago, Indianapolis, Detroit About Us Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI Agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations. Each AI Agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work. Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction. Why Join Us We’re looking for a Senior Enterprise Account Executive (Midwest Territory)—a rare combination of builder, operator, and elite enterprise seller. The ideal candidate is someone who: - Runs toward complexity - Operates at startup speed - Owns a business, not a book of accounts - Excels in high-stakes technical sales cycles This is not a 9–5 job. This is an opportunity to build a category and influence the direction of enterprise AI adoption. Agentic AI experience is a plus but not required. What matters most is depth in complex enterprise selling, mastery of sales rigor, and a builder’s mindset. If you’re a builder, operator, and elite seller ready to redefine enterprise AI, this is the place to do the best work of your career What You’ll Be Doing Own Your Territory Like a CEO - Build and execute territory strategy across enterprise accounts. - Maintain 4–5x pipeline coverage and deliver predictable outcomes. - Navigate large matrixed organizations with technical and business stakeholders. Lead Complex, Technical Enterprise Sales - Own multi-threaded sales cycles involving automation, architecture, workflows, security, and ROI. - Use advanced sales methodologies (MEDDPICC, Command of the Message, Challenger, SPICED). - Develop champions and create urgency across C-suite, operations, and IT. Operate With Modern Sales Tools + GenAI - Leverage a modern sales tech stack (Salesforce, Gong, Outreach, ZoomInfo, 6sense, Clari). - Use GenAI tools + Observe.AI’s intelligence platform to: - Accelerate research, account penetration, and personalization - Build repeatable outbound motions - Multiply productivity beyond 1 + 1 = 2 - Strengthen MEDDPICC documentation and deal strategy - Enhance storytelling, ROI models, and executive communications Build & Scale the AI Agent Motion - Establish repeatable patterns and industry playbooks. - Provide structured insights to Product, Engineering, CX, and Marketing. - Influence roadmap direction based on customer workflows and technical needs. Operational Excellence - Forecast accurately using Commit, Strong Upside, Upside, Pipeline. - Drive account planning and expansion strategy. - Execute land → expand → transform motions inside enterprise organizations. What You'll Bring To The Role - 7+ years in enterprise SaaS with complex, technical sales cycles . - Track record closing high six- and seven-figure enterprise deals in the last 3 years . - Designing and executing complex deal strategies and technical sales campaigns - Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence - Working cross functionally with Engineering, Product Management, Marketing, and other relevant departments - Experience selling AI/ML, automation, workflow, infrastructure, or security platforms a major plus. - Expertise in executive selling, multi-threading, and influencing transformation. Skills & Attributes - Mastery in MEDDPICC or similar qualification frameworks. - Skilled in using modern sales tech + GenAI for non-linear productivity. - Executive presence with ability to simplify technical value. - Builder mentality: scrappy, resourceful, resilient. - High urgency + high accountability. Why You’ll Love It Here - Competitive compensation including equity: Market-aligned base pay, performance incentives, and meaningful equity ownership - Excellent medical, dental, and vision insurance options: Comprehensive medical, dental and vision benefits for employees and eligible dependents - Flexible Paid Time Off: Our unlimited, flexible PTO policy empowers you to take the time you need to recharge, maintain balance, and perform at your best. - Additional Time to Recharge: 10 company holidays, an annual company-wide Winter Break, and paid parental leave to fully support life outside of work. - 401(k) plan: Long-term financial planning support with tax-advantaged retirement savings - Quarterly Lifestyle Spending Account: Flexible quarterly stipend to support wellness, learning and professional development, and personal growth - Monthly Mobile + Internet Stipend : Support for remote and hybrid work connectivity needs - Pre-tax Commuter Benefits: Tax-efficient transit and commuting support for hybrid and in-office employees - Autonomy and Agency: Play a meaningful role in scaling a category-defining GenAI platform transforming the future of customer experience. Salary Range The OTE (On Target Earnings) compensation range targeted for this full-time position is $270,000-$300,000 Range per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe.AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai . LI- Remote

👤 HumanFull-timeRemoteSenior

By Observe.AIFeb 18, 2026

Senior Enterprise Account Executive - Pacific Nort...

Negotiable

Negotiable

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors About the Role Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data. The team plays a crucial role in the advancement of autonomous driving systems by creating a scalable and reliable data infrastructure. This infrastructure is designed to produce training and evaluation data derived from both on-road collected logs and simulation logs. Additionally, the team collaborates closely with system engineers to thoroughly validate the autonomous driving system before its deployment. About the Work - Design and develop unified, introspectable, large-scale batch and streaming data processing systems that can ingest and process data across a wide range of use cases relevant to evaluation. - Create and implement a storage system capable of accommodating both the large volume and diverse range of evaluation and performance metrics. - Construct intuitive dashboards and reports to present evaluation results, facilitating straightforward comparisons that highlight both improvements and regressions. - Design and develop comprehensive end-to-end data pipelines that streamline the flow from data ingestion to final consumption. - Develop and maintain continuous testing and monitoring systems to guarantee the integrity and resilience of our data and associated data pipelines About You - B.Sc or M.Sc. plus 4+ years of relevant work experience - Strong proficiency in Python, C++, or similar languages - Domain experience: Experience working with large scale data and building scalable & reliable systems / data pipelines; ability to understand and design complex systems - Engineering leadership: Experience setting team or project product and technical vision, timelines and prioritization; formally or informally being a Tech Lead, mentoring and support junior engineers - Technical excellence: Ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization - A bachelor's degree in Computer Science, Electrical Engineering, or a closely related field Bonus Points - Strong knowledge of GCP, GCS, BigQuery, or PostgreSQL - Knowledge of data engineering, and its tooling and best practices - Knowledge of batch and streaming data processing, warehousing, and analytics solutions - Experience working with large scale distributed data systems - Experience with system & framework design - Experience with data workflow orchestration platforms At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $193,930 and $352,290 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

👤 HumanFull-timeExpert / Staff+

By NuroMay 5, 2026

Thermodynamic Hardware Resident

Negotiable

NORMAL COMPUTING | BUILD WITH US Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, Silicon Valley (Mountain View), London, Copenhagen, and Seoul. THE RESIDENCY PROGRAM The Thermodynamic Hardware Residency is Normal Computing's flagship program for exceptional researchers and engineers who want to work at the frontier of unconventional computing. Residents join a small, hand-picked cohort with a dedicated research mentor, direct access to the team building our cutting-edge thermodynamic hardware, and a clear arc from onboarding through publication. Every residency is built around two milestones that mark you as part of something bigger than a single project: a research paper co-authored with our team, and a company-wide research colloquium where you present your findings to the full Normal Computing organization. You'll leave with a body of published, presented work, and a standing as one of the earliest residents to help define what this program becomes. Exceptional performers will be considered for full-time conversion at the end of the residency. YOUR NORMAL EXPERIENCE - You'll spend your residency embedded with the team building and characterizing our unconventional, thermodynamic computing hardware — silicon that exploits physical noise and analog dynamics rather than fighting them. - This is a hands-on research residency: you'll take ownership of a real technical problem at the boundary of physics, hardware, and machine learning, work alongside the researchers and engineers building our hardware, and be expected to contribute ideas, not just execute someone else's. - Our hardware is designed to deliver orders-of-magnitude more AI inference per dollar, per watt than conventional GPUs — not by porting existing GPU kernels onto new chips, but by rethinking how core operations work when the substrate itself is stochastic analog computation in memory rather than conventional digital logic. That rethinking, from device physics up through algorithms, is exactly the kind of problem residents take on. - You'll get direct exposure to the pace, ambiguity, and speed of decision-making that comes with working at a fast-moving, well-funded hardware startup — where the distance between an idea on a whiteboard and a test on real silicon is measured in weeks, not years. WHAT YOU'LL DO - Work hands-on with thermodynamic hardware. Help design, simulate, characterize, or evaluate our hardware, where noise, analog dynamics, and in-memory computation are first-class design elements rather than sources of error to be engineered away. - Design numerical methods for a new substrate. Explore algorithms and numerical methods that exploit thermal noise and analog dynamics directly, rather than adapting techniques built for conventional digital hardware. - Drive a research question of your own. Partner with researchers and hardware engineers to scope, run, and iterate on an original technical investigation — from device- or circuit-level physics up to algorithms and workloads that map onto thermodynamic compute. - Build evaluation frameworks and benchmarks. Help build the tests and benchmarks that measure how algorithmic ideas actually perform on real hardware and in simulation, and feed what you learn about model workloads back into hardware design decisions. - Co-author a paper. Work with the team to write up your findings for submission to a relevant venue, with mentorship on framing, experiments, and technical writing along the way — one of the two milestones every resident builds toward. - Present at the residency colloquium. Share your work and thinking with the broader Normal Computing research community at the program's capstone event, and get real-time feedback from people building this technology every day. - Experience startup pace firsthand. Work directly with founders, senior researchers, and engineers in a lean, fast-moving environment where priorities shift quickly and your work has an outsized, visible impact. WHAT WOULD MAKE YOU A GREAT FIT - Currently pursuing or recently completed a graduate degree (MS or PhD, or equivalent research experience) in physics, electrical engineering, computer engineering, computer science, applied math, or a related field — with a focus on hardware, device physics, stochastic or analog computing, or machine learning systems. - Comfortable moving between levels of abstraction: from the physics of noise and analog devices, to circuit- and architecture-level tradeoffs, to the algorithms and workloads that will eventually run on this hardware. - Some exposure to large-model inference concepts — attention mechanisms, KV caching, long-context decoding — and an interest in how they change when the underlying hardware isn't a GPU. Production-level experience isn't expected at the resident level, but the intuition should feel familiar. - Strong Python skills, plus comfort with (or eagerness to learn) a lower-level systems language such as C++ or Rust; hands-on experience with simulation, experimentation, or hardware characterization (e.g., SPICE, PyTorch, FPGA or ASIC tooling) is a plus. - First-principles reasoning about novel computational substrates: a genuine curiosity about unconventional computing, where exploiting thermal noise rather than suppressing it sounds more interesting than intimidating. - Strong written and verbal communication skills; prior experience writing up research (papers, theses, technical reports) is a plus, as is any experience presenting technical work to a live audience. - A bias toward ownership and self-direction: you're energized, not overwhelmed, by the ambiguity and speed of a small, fast-moving startup. Equal Employment Opportunity Statement Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status. Accessibility Accommodations Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accommodations@normalcomputing.com. Privacy Notice By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Applicant Privacy Notice https://normalcomputing.com/applicant-privacy-notice.

👤 HumanFull-timeMid

By Normal ComputingAug 22, 2026

Software Engineer, Agent Systems

Negotiable

NORMAL COMPUTING | BUILD WITH US Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, Silicon Valley (Mountain View), London, Copenhagen, and Seoul. THE ROLE As a Software Engineer at Normal, you will build the backend runtimes and distributed systems behind our AI products. You'll design orchestration services, execution environments, internal APIs, persistence layers, and observability systems that allow AI agents to perform long-running work reliably. These systems coordinate workloads across distributed environments, execute code and tools securely, preserve state across long-running sessions, and recover cleanly from failures. Your work will turn ambitious AI prototypes into dependable products used in real customer workflows. The role spans backend, AI, and platform engineering. Its focus is the application and runtime layer but not general-purpose cloud infrastructure or company-wide developer operations. You'll work closely with product, AI, research, and platform engineers to define the interfaces between AI capabilities, execution environments, and production services. On any given day, you might design the execution model for a new AI capability, build an orchestration service for autonomous workflows, improve the scheduling and isolation of distributed workloads, or create an API that makes a complex runtime capability easy for other engineers to use. WHAT YOU WILL OWN - Runtime and Orchestration: Build the services that manage agent execution, session lifecycles, long-running workflows, and distributed workloads. - Backend Systems and APIs: Design reliable services, data models, and internal APIs used by product engineers, AI engineers, and execution systems. - State and Failure Handling: Develop clear models for persistence, retries, queues, leases, cancellation, recovery, and other distributed-systems concerns. - Execution Environments: Build software that schedules and manages containerized workloads in Kubernetes-backed environments, including lifecycle, isolation, autoscaling, and resource management. - Reliability and Observability: Make evolving systems easier to operate through thoughtful metrics, tracing, debugging tools, and well-defined failure modes. - Developer Experience: Create abstractions and tools that allow other engineers to extend the platform without needing to understand every underlying implementation detail. - Prototype-to-Production Engineering: Turn promising prototypes into durable systems by clarifying boundaries, hardening critical paths, and introducing operational patterns that scale. - Technical Design: Facilitate design discussions around runtime architecture, API boundaries, state management, execution models, and operational tradeoffs. WHAT MAKES YOU A GREAT FIT - 4+ years of software engineering experience in backend systems, distributed systems, developer platforms, production infrastructure, or a related area. - Strong backend engineering fundamentals, including API design, data modeling, concurrency, debugging, and testing. - Experience designing and operating production services where reliability, observability, and maintainability matter. - Experience reasoning about distributed state and failure modes, including retries, queues, leases, scheduling, idempotency, and long-running workflows. - Practical experience with containers and Kubernetes-backed systems, including workload lifecycle, networking, resource limits, and production debugging. - Experience with production data systems such as Postgres, Redis or Valkey, and object storage. - Experience building orchestration systems, workflow engines, job schedulers, sandboxes, developer platforms, or distributed execution systems. - A track record of designing APIs and abstractions that other engineers can use confidently. - Pragmatic judgment in fast-moving environments: you know when to improve an abstraction, simplify it, or ship the straightforward version. - A strong sense of ownership for how your software behaves in production and how effectively others can use it. BONUS POINTS - Experience building systems for AI agents, model orchestration, code execution, or other LLM-powered products. - Deep Kubernetes knowledge, such as controllers, scheduling, networking, storage, autoscaling, or resource isolation. - Experience with secure or sandboxed code execution. - Background in reliability engineering, infrastructure software, or developer platforms at meaningful scale. - Experience working in high-growth environments where systems and ownership boundaries are still taking shape. Equal Employment Opportunity Statement Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status. Accessibility Accommodations Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accommodations@normalcomputing.com. Privacy Notice By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Applicant Privacy Notice https://normalcomputing.com/applicant-privacy-notice.

👤 HumanFull-timeMid

By Normal ComputingAug 10, 2026

Negotiable

ABOUT NABLA We are a team of entrepreneurs, clinicians and engineers committed to bringing back joy to the practice of medicine. Together with a community of clinician innovators, we’ve harnessed the best of machine learning science to develop Nabla: the leading AI assistant that’s restoring the human connection at the heart of healthcare. By streamlining clinical documentation, Nabla is helping clinicians focus on what matters most - patient care. Today, over 100,000+ clinicians across 130+ healthcare organizations trust Nabla to support how they deliver care every day. We’re at the start of an ambitious journey: Ambient listening, dictation, coding, and command capabilities are all converging into a proactive assistant that intuitively streamlines clinical and financial workflows. Backed by a recent $70M Series C, we’re hiring to build the next generation of clinical AI and improve the lives of clinicians and patients everywhere. This is a great time to join us! The best of AI at the service of healthcare Nabla's phenomenal traction is the result of 3 years of diligent product development. Led by former Meta AI Research engineers, our team has consistently anticipated how AI can revolutionize healthcare delivery. Our Machine Learning team continually leverages the latest advancements to unlock AI's full potential in healthcare. Yann LeCun, Meta's Chief AI Scientist and Turing award winner, is an advisor to Nabla. Product at Nabla Product development at Nabla is led jointly by Engineering and Product and organized into cross-functional squads. As a Product Manager in the ambient speech-to-text squad, you will join a team focused on speech and ambient intelligence, contributing end-to-end to the evolution of our real-time clinical audio stack. Your Team As a Product Manager on the Ambient Speech team, you will own the product strategy and execution for the voice intelligence layer at the heart of Nabla's AI assistant. Ambient speech is the foundation of the clinician experience: it determines what Nabla can reliably hear, understand, and turn into useful documentation and downstream actions. You will work in a cross-functional squad alongside ML engineers, software engineers, designers, data scientists, and clinical experts. Together, you will turn complex speech and audio capabilities — including transcription, speaker diarization, language detection, and real-time processing — into products that clinicians trust and use every day. What you'll do - Own the product vision, strategy, and roadmap for Nabla's ambient speech and voice intelligence capabilities - Develop a deep understanding of how clinicians use Nabla in real patient encounters, including the moments where audio quality, speaker attribution, latency, or transcription accuracy affect trust and adoption - Translate clinician needs and business priorities into clear product opportunities, requirements, and success metrics for the speech squad - Partner closely with ML engineers to define the highest-impact improvements across speech recognition, diarization, voice activity detection, principal-speaker detection, language detection, custom vocabulary, and real-time audio processing - Make thoughtful product trade-offs between accuracy, latency, cost, reliability, and time to market - Define and monitor product quality metrics that connect technical speech performance with clinician outcomes — such as perceived transcription quality, note quality, edit rates, successful capture rates, activation, retention, and support burden - Lead discovery efforts with clinicians, customers, and internal stakeholders to identify unmet needs across specialties, languages, modalities, and care settings - Design experiments and launch plans that validate new capabilities quickly while protecting the quality and reliability of the core clinical experience - Work with Design to create simple, intuitive experiences that make sophisticated speech technology feel seamless and trustworthy - Collaborate with platform, infrastructure, privacy, security, and downstream product teams to ensure ambient speech capabilities integrate reliably into note generation and future agentic workflows - Build alignment across Product, Engineering, Clinical, Go-to-Market, and leadership teams around priorities, progress, risks, and product decisions - Establish a strong feedback loop from production usage, customer feedback, and operational signals into the squad's roadmap and continuous improvement process Your DNA - 5+ years of technical product management experience, ideally building technical or workflow-critical products - Experience building products powered by machine learning models or working closely with ML teams - Strong product judgment and a demonstrated ability to identify high-value user problems, define a product strategy, and ship meaningful improvements - Experience working closely with engineers and comfort discussing technical systems, data quality, experimentation, APIs, latency, reliability, and product instrumentation - Exceptional ability to translate complex technical capabilities into clear user value, product requirements, and prioritization decisions - Strong analytical skills, including experience defining success metrics, interpreting product data, and using qualitative and quantitative evidence to make decisions - A user-obsessed mindset and strong empathy for clinicians operating in high-pressure environments - Excellent written and verbal communication skills, with the ability to create alignment across technical and non-technical stakeholders - Comfort operating in a fast-moving environment with incomplete information, competing priorities, and high ownership - Bonus: experience with voice AI, speech recognition, real-time systems, audio products, conversational AI, healthcare/clinical documentation, multilingual products, or B2B SaaS in complex frontline workflows LIFE AT NABLA When you become a part of our company, you join a team of excellence-driven, curious, and genuinely kind individuals. Together, we're committed to making clinicians' lives easier and improving healthcare experiences for everyone. We believe in a world where clinicians can focus on what they were trained to do - caring for their patients, and where no patient feels their visit was rushed. We come to work excited to leverage AI to do more for clinicians. We’re obsessed with our users’ satisfaction and we actively seek out opportunities to engage one-on-one with clinicians to understand how Nabla can better help. We consistently look for ways to improve and do not shy away from doing the work to excel. Whether it’s a feature our users asked for, or a new article for our blog, we prioritize collaboration to deliver exceptional outcomes. We love having fun as much as we love work. Our #nablabla channel is as active as our #feature-show-off channel, we exercise during the work day at least 3 times a week (yoga, running, pilates, or HIIT, your choice!), enjoy regular off-sites to gather the team, and travel to see each other in places like NY, Paris, San Francisco, and many other vibrant cities. Oh, and we’re constantly snacking on chocolate or nuts! If this sounds like an environment you’ll thrive in, we look forward to reading your application! OUR VALUES AT NABLA Joining Nabla means being part of a team that shares a commitment to excellence, humility, growth, and inclusion. Every day is a new chance to excel We aim for nothing less than the best and are willing to put in the effort and dedication required to exceed standards. We learn from yesterday’s failures and do better every day. Stay humble There’s no place for ego in our team. Our collective success is more important than individual achievements. We see humility as wisdom — keeping focus on the bigger picture. Feedback is a gift We embrace feedback and foster a culture of trust and respect that helps everyone grow. We communicate openly about both achievements and challenges, and we actively involve each other in finding solutions. Committed to diversity We recognize the ongoing challenge of diversity in tech. Our responsibility starts with fostering an inclusive environment where everyone feels empowered to be their authentic selves and do their best work. DIVERSITY & INCLUSION Diversity and inclusivity are fundamental values at Nabla. We embrace individuals from various backgrounds, including race, gender, educational history, sexual orientation, and beyond. As an equal opportunity employer, we actively seek out and welcome applicants from diverse backgrounds, believing that a wide range of perspectives enriches our team and enhances our ability to innovate and thrive. AVOID RECRUITMENT SCAMS: STAY SAFE AND INFORMED There is an active employment scam which is now using Nabla to collect personal information or financial scams. If you’re contacted by a Nabla recruiter, please ensure whomever is contacting you truly represents Nabla and is utilizing a nabla.com http://nabla.com email address. We will never ask for the exchange of any money or credit card details during the recruitment process. Nabla utilizes a hiring platform for all applications; please be aware of any suspicious email activity from people who could be pretending to be recruiters or senior professionals at Nabla. You can find more information following this link https://consumer.ftc.gov/consumer-alerts/2023/05/scammers-are-hijacking-job-ads-heres-how-spot-fakes. Nabla does not accept unsolicited CVs from recruiters or employment agencies in response to the Nabla Careers page or a Nabla social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Nabla.

👤 HumanFull-timeSenior

By NablaSep 30, 2026

Engineering Manager, Hardware Bringup

Negotiable

About Modular At Modular, a Qualcomm company , we’re on a mission to revolutionize AI infrastructure by systematically rebuilding the AI software stack from the ground up. Our team, made up of industry leaders and experts, is building cutting-edge, modular infrastructure that simplifies AI development and deployment. By rethinking the complexities of AI systems, we’re empowering everyone to unlock AI’s full potential and tackle some of the world’s most pressing challenges. If you’re passionate about shaping the future of AI and creating tools that make a real difference in people’s lives, we want you on our team. You can read about our culture and careers to understand how we work and what we value. About the Role: ML developers today face significant friction in taking trained models into deployment. They work in a highly fragmented space, with incomplete and patchwork solutions that require significant performance tuning and non-generalizable, model-specific enhancements. At Modular, we are building the next generation AI platform that will radically improve the way developers build and deploy AI models. As part of our mission to build AI's unified compute layer, we are expanding the Modular software stack to a variety of new and exciting hardware platforms. We are looking for an Engineering Manager to lead the Hardware Bringup team at Modular. In this role, you will own the end-to-end delivery of accelerator bring-up across the Modular stack from Mojo kernels and the graph compiler to MAX model serving across multiple concurrent hardware partnerships.This is a hands on management role: You will work with the HW Bringup architect to set the team roadmap and the technical direction, align stakeholders and ensure all projects are delivered on time. You will participate in design reviews and Pre-sales discussions.. You will be accountable for scoping and delivering against engineering Statements of Work (SOWs) with vendor counterparts, and for growing a high-trust team that consistently ships against ambitious, externally-committed milestones. LOCATION: Candidates based in the US, Canada, and UK are welcome to apply. You can work in our office in Los Altos, CA, or Edinburgh, or remotely from home. Onboarding for new hires is conducted in-person at the appropriate office. What you will do: Lead, mentor, and grow a 2 to 7 people team of mixed skillset (compiler, kernel, and runtime engineers) focused on bringing up new accelerator architectures across the Modular stack. Stay hands-on: participate directly in design reviews, contribute to architecture and prototypes, write and review code for non-trivial portions of the stack (Mojo kernels, MLIR passes, runtime integration), and strive to unblock the hardest technical issues on the team. Support end-to-end delivery of one or more hardware platform enablement efforts, from initial viability and dev-environment bring-up through merged compiler integration, kernel development, MAX serving, and production-quality model deployment. Contribute to Statement of Work (SOW) scoping, milestone definition, and acceptance criteria with hardware partners, including translating engineering plans into contractual milestones, negotiating timelines, and managing delivery against commercial commitments. Partner with Kernels, Graph Compiler, MAX, and Cloud teams to align roadmaps, resolve cross-team dependencies, and produce credible FTE plans and forecasts for executive review. In collaboration with Head of Mojo, hire to a high bar: define the engineering profile, run interview loops, calibrate the team, and close senior candidates. Foster a write-things-down, demo-driven engineering culture; ensure the team shares findings on new architectures (ISAs, memory hierarchies, vendor toolchains) through write-ups, internal demos, and onsites. What you bring to the table: 7+ years of industry experience in compiler engineering, high-performance computing, kernel development, or related domains, with 2+ years managing engineers (strong IC-to-manager transitions welcome). Strong technical foundation in compilers, systems software, or accelerator programming Sufficient to be hands-on with the team's codebase, lead architecture discussions, and credibly review designs in MLIR/LLVM, kernel codegen, or runtime systems. Proficiency in C++ and direct experience working in complex, multi-component software systems. Hands-on experience with at least one heterogeneous programming model (CUDA, SYCL, OpenCL, or similar), as a contributor rather than only a user. Demonstrated track record of delivering multi-quarter technical roadmaps with external dependencies, including managing scope, risk, and external commitments. Experience working directly with hardware vendor engineering teams joint bring-up efforts, partner escalations, or vendor-facing technical leadership. Experience scoping or negotiating engineering deliverables under formal agreements (SOWs, joint engineering plans, or equivalent contractual frameworks). Strong written communication Helpful, but not required: Experience leading bring-up on non-GPU accelerators (DSPs, NPUs, custom ASICs, or other novel architectures). Familiarity with MLIR or LLVM compiler infrastructure at a contributor level. Background in AI compilers, kernel libraries, or GPU DSLs/DSELs such as Triton, CUTLASS, or CuTe. Familiarity with how AI operators are implemented at a low level — custom kernels, fused operators, or framework-level integration (e.g., PyTorch at the C++ layer). Experience drafting, negotiating, or executing engineering SOWs with hardware vendors or cloud partners. Exposure to model serving or inference optimization workflows at production scale. What Modular brings to the table: Amazing Team. We are a progressive and agile team with some of the industry’s best engineering and product leaders. World-class Benefits. In order to attract the best, we need to offer the best. Your benefits package may include comprehensive healthcare coverage, retirement and savings programs, employee stock purchase opportunities, paid time off, wellbeing resources, family support programs, and learning and development opportunities. Please note that specific benefit packages may vary based on your location, you can read more about benefits offered by Qualcomm here . Competitive Compensation. We offer very strong compensation packages, including RSU grants. We want people to be focused on their best work and believe in tailoring compensation plans to meet the needs of our workforce. Team Building Events. We organize regular team onsites and local meetups in Los Altos, CA as well as different cities. Traveling 2-4 times a year is expected for all roles. Working at Modular will enable you to grow quickly as you work alongside incredibly motivated and talented people who have high standards, possess a growth mindset, and a purpose to truly change the world. The estimated base salary range for this role to be performed in the US, regardless of the state, is $216,000–$372,000 USD . The estimated base salary range for this role to be performed in Canada, regardless of the province, is $207,000–$310,000 CAD . The estimated base salary range for this role to be performed in Edinburgh is £ 120,000– £206 ,400 GBR. The salary for the successful applicant will depend on a variety of permissible, non-discriminatory job-related factors, which include but are not limited to education, training, work experience, business needs, or market demands. This range may be modified in the future. The total compensation for a candidate will also include annual target bonus, equity, and benefits, with equity making up a significant portion of total compensation. For candidates who fall outside of the listed requirements, we nevertheless encourage you to apply, as we may have upcoming openings at lower or higher levels than the one advertised.

👤 HumanFull-timeRemoteSenior

By ModularAug 20, 2026

Tech Lead Manager, Frontier Data Products

Negotiable

ABOUT MERCOR Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices. ABOUT THE ROLE Frontier models increasingly depend on data that goes beyond text: images, video, audio, documents, and combinations of these modalities. Turning that raw material into useful data products is technically difficult. Each modality has different formats, quality failures, processing costs, privacy considerations, and review workflows. The final product still needs to be consistent, traceable, and trustworthy. Mercor’s Frontier Data Products team builds the systems that make these products possible. As Tech Lead Manager, you will lead the team responsible for turning complex multimodal inputs into reliable, customer-ready data products at scale. This is a player-coach role, split roughly evenly between technical contribution and people leadership. You will write and review production code, own important architecture decisions, and help resolve the hardest production problems. You will also hire, coach, and organize a team that can operate with clear ownership and strong independent judgment. This is a product-engineering leadership role. Applied ML is part of the system, but success is measured by the quality, reliability, and usefulness of the products delivered—not by research output alone What You’ll Do - Set the technical and product strategy for Mercor’s multimodal data products. - Design systems that support the full lifecycle of image, video, audio, document, and mixed-media data—from initial inputs through processing, review, validation, versioning, and delivery. - Create reusable abstractions across modalities while preserving the differences that matter for quality, performance, and customer requirements. - Build quality systems that combine automated evaluation, model-assisted checks, expert review, sampling, and adjudication. - Ensure that every output is traceable: what produced it, what changed, how it was evaluated, and why it was accepted. - Own the reliability, performance, and cost of storage-heavy, compute-intensive, long-running workflows. - Stay hands-on by writing production code, leading design reviews, and directly contributing to the team’s most consequential technical work. - Manage and develop engineers through clear expectations, frequent feedback, thoughtful delegation, and meaningful ownership. - Partner with product, ML, operations, and customer-facing teams to turn new customer needs into durable product capabilities rather than one-off solutions. - Recruit and onboard engineers who raise the team’s technical and execution bar. What Makes This Role Different - You will shape both the multimodal product architecture and the engineering team building it. - The technical challenge extends beyond moving large media files. The system must preserve context, relationships, provenance, and quality across different modalities and transformations. - Customer requirements and available models will evolve quickly. The architecture must support new products without requiring the team to rebuild the system for every use case. - The team’s work sits directly between complex real-world inputs and the data products delivered to frontier AI customers. What Success Looks Like - The team can launch support for a new modality or product without building an entirely separate system. - Product quality is measurable, explainable, and auditable across human and model-assisted workflows. - Large, long-running jobs are observable and recoverable, with failures detected before they affect customer deliveries. - Customer-specific work produces reusable capabilities that make the next product faster to build. - Engineers own substantial areas independently rather than depending on the manager for every technical decision. - The team improves delivery speed while maintaining clear standards for quality, reliability, privacy, and cost. What We Are Looking For - Bachelor’s Degree in Computer Science or a related technical degree such as Electrical Engineering, Physics, Mathematics or Statistics - 1+ year of experience managing a strong engineering team while remaining an effective, hands-on technical leader. - 3+ years of deep experience designing and operating production backend, distributed, or data-intensive systems. - Experience working with large unstructured data, asynchronous processing, metadata and versioning, or compute-heavy workflows. Nice to Haves: - Relevant experience in at least one area such as multimedia infrastructure, computer-vision data, video or audio processing, ML platforms, annotation systems, or human-in-the-loop products. - Strong judgment about platform boundaries: what should be generalized across modalities and what should remain modality-specific. - A track record of taking ambiguous, zero-to-one products through architecture, launch, and sustained production operation. - Evidence that you can recruit, coach, and retain excellent engineers while maintaining a high performance bar. Benefits - Up to $15k Relocation bonus - $10K housing bonus (if you live within 0.5 miles of our office) - $1.5K monthly stipend for meals - Free Equinox membership - $200 monthly laundry reimbursement - $200 monthly personal wellness reimbursement - Generous equity grant vested over 4 years - Health, Dental, Vision insurance

👤 HumanFull-timeSenior

By MercorSep 8, 2026

Software Engineer, Robotics

Negotiable

ABOUT MERCOR Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices. ABOUT THE ROLE Frontier AI is going physical, and the labs building it are bottlenecked on one thing: high-quality data from the real world. Mercor pairs its operational scale with the specialized engineering that physical-world data demands. As a Software Engineer on Robotics, you'll sit between Mercor's data systems and our customers' infrastructure. Every frontier lab wants something different: container format, schema, fields, and quality requirements. You'll build infrastructure general enough that a new customer becomes a quick configuration, and you'll work directly with customer engineering teams on bespoke requests, feeding what you learn into scalable platform architecture decisions. An example might be modifying the segmentation model derived from a customer request for stricter filtering on hands being in frame and building this into a configurable pipeline feature. Prior robotics experience is not required. This is a backend and data engineering role at its core, developing pipelines, formats, and storage methods. If you've built high-volume data infrastructure anywhere and want depth in robotics data and directly, working directly with the engineers and researchers at the labs and robotics companies building physical AI, this role is for you. WHAT YOU'LL DO - Own the reusable infrastructure behind robotics data deliveries: the processing, packaging, and delivery systems - Format and transform datasets to per-client specification: MCAP and other container formats, custom schemas, field mappings, metadata, and versioning - Work directly with customer engineering teams to scope and build bespoke schemas, custom fields, and one-off transforms where requirements are custom - Build and operate the pipelines that move data from Mercor's systems into customer storage reliably at petabyte scale - Partner with operations and product to turn evolving requirements into shipped data deliveries, and prototype quickly when a new data type or customer arrives - Build automated validation techniques WHAT WE'RE LOOKING FOR - Strong backend and data engineering fundamentals in a modern language (Python, Go, Rust) and comfort operating production systems on AWS and GCP - Experience building and owning high-volume data pipelines, not just contributing to them - Experience with large binary formats, streaming ingestion, distributed batch processing, and object storage economics - Customer-facing instincts: you can lead a technical conversation, ask the right questions, and push back when a request is unreasonable - Comfort working through ambiguity and shipping iteratively with a product team, where requirements evolve with the customers and data types NICE TO HAVE - Experience with robotics/AV data formats and tooling such as MCAP, ROS, protobuf, Foxglove - Prior work on data engines, pipelines, or delivery for multimodal data - Multi-sensor data experience across video, depth, inertial, and audio, including calibration and synchronization - Forward-deployed, solutions, or delivery engineering experience at a data or infrastructure company - Computer vision or multimodal ML exposure: detection, tracking, or VLM-based labeling and QC BENEFITS - Bi-annual performance bonus structure - Generous equity grant vested over 4 years - Up to $15k Relocation bonus - $10K housing bonus (if you live within 0.5 miles of our office) - $1.5K monthly stipend for meals - Free Equinox membership - $200 monthly laundry reimbursement - $200 monthly personal wellness reimbursement - Health, Dental, Vision insurance

👤 HumanFull-timeMid

By MercorSep 22, 2026

Product Manager, Applied AI

Negotiable

ABOUT MERCOR Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices. ABOUT THE ROLE As an Applied AI Product Manager, you'll sit at the intersection of Product, Engineering, Operations, GTM, and our customers - the world's leading AI labs. You'll help grow Mercor's most strategic accounts by scoping complex AI data projects during the sales process, developing the technical strategy behind account growth plans, and ensuring every committed project is set up to deliver. As part of our Applied AI team, you'll own technical scoping upstream of commitment - turning ambiguous customer requests into sized, deliverable projects and serving as the voice of the customer inside the Product organization. You'll also own the roadmap for customer integrations and the processes that make delivery measurably more reliable with every cycle. This is a highly technical, customer-facing role in the Product Management job family for someone who enjoys solving ambiguous problems, working directly with strategic customers, and building systems that scale. WHAT YOU’LL DO - Scope Customer Solutions: Partner with GTM and customers during the pre-sales process to scope complex AI data projects. Define technical requirements, break down and size the engineering effort, identify the ROI for each project. - Drive Account Growth: Work directly with AI researchers at leading labs and internal GTM leads to formulate and execute account growth plans. Leverage Mercor's evaluation infrastructure and data inventory to generate new demand, and track the competitive landscape to position Mercor to win. - Lead Customer Implementations: Assemble the right solution for every committed project - composing the teams, resources, and bandwidth it will take to deliver - and coordinate across Product, Engineering, GTM, and customer stakeholders to ensure successful launches. - Own Customer Integrations: Set the roadmap for integrations with customer platforms and data systems, expanding the integration surfaces that unblock new revenue and driving toward seamless, reliable delivery regardless of customer infrastructure. - Make Delivery Reliable: Lead delivery incident response and root-cause analysis, triage technical blockers to the right owners, and track corrective actions to resolution so the same issue never recurs. - Shape The Product: Identify recurring customer needs and translate them into product requirements. Own the roadmap for customer integrations and partner with Engineering to expand platform capabilities. WHAT WE’RE LOOKING FOR - Experience: 2+ years in Product Management, Technical Program Management, Solutions Engineering, Forward Deployed Engineering, Implementation Consulting, or a similar technical, customer-facing role. - Technical Fluency: Familiar with coding agents. Comfortable using SQL/Python without agent assistance as well. Can break down large engineering problems into well-scoped roadmaps. Able to hold your own in technical conversations with AI researchers and engineers. - Ownership: Thrive in ambiguous environments and take ownership from problem definition through execution. Customer-focused with excellent written and verbal communication. - Commercial Judgment: Comfortable weighing revenue upside against delivery cost, and spotting the account opportunities others miss. - Systems Thinking: Strong project management and cross-functional communication skills. Passion for fixing problems at the source and building repeatable systems rather than one-off solutions. Benefits - Bi-annual performance bonus structure - Generous equity grant vested over 4 years - Up to $15k Relocation bonus - $10K housing bonus (if you live within 0.5 miles of our office) - $1.5K monthly stipend for meals - Free Equinox membership - $200 monthly laundry reimbursement - $200 monthly personal wellness reimbursement - Health, Dental, Vision insurance

👤 HumanFull-timeMid

By MercorJul 25, 2026

Product Manager

Negotiable

👤 HumanFull-timeMid

By MercorJun 29, 2026

Negotiable

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

👤 HumanFull-timeRemoteSenior

By Lightning AIJul 8, 2026

Senior Software Engineer

Negotiable

👤 HumanFull-timeSenior

By Lightning AISep 17, 2026

Senior Operations Specialist

Negotiable

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

👤 HumanFull-timeSenior

By Lightning AIJul 13, 2026

Senior Network Engineer

Negotiable

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

👤 HumanFull-timeRemoteSenior

By Lightning AIJun 4, 2026

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