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AI Engineering Lead
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: Come define the future of AI Engineering at the company building the world’s leading agentic data science and analytics platform. As our AI Engineering Lead, you will accelerate the product and company by leveraging frontier AI technology and techniques, collaborating closely with product and engineering, and building and developing a world-class team of AI Engineers. WHAT YOU WILL DO: - Stay up-to-date on the latest in AI technology and work with engineering teams to push the frontier of product capabilities - Define and implement the future of the AI Engineering function at Hex as we scale - Hire and mentor an exceptional team of AI Engineers - Support an exceptional developer and research experience for teams working with AI technology - Deliver high-performing shared AI infrastructure, including search systems ABOUT YOU: - You have 4+ years of people management experience and leading high-performing teams - You have deep familiarity with modern AI technology as well as classical ML systems and a passion for sharing that with others. Technologies of particular interest include LLMs and transformer models, agentic workflows, context management, and agentic evals. - You are obsessed with driving business outcomes and delivering value to customers - You are rigorous but pragmatic, balancing good experimental design with early-stage agility - You are a strong communicator and love collaborating with other roles and teams to drive outcomes - You are a talent magnet, with the ability to attract and retain exceptional AI talent 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. This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days. The salary range for this role is: $246,000 - $329,000 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.
Team Lead - Training and Mission Success - Interna...
Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. The role As a Team Lead for the internationally aligned Training and Mission Success Specialist (MSS) team, you will sit at the intersection of operational delivery, customer success, and tactical expertise. You will own the planning and execution of field deployments and training courses across all international markets outside Germany, acting not only as the leader of small high-functioning x-discipline teams, but as the primary business development interface during deployed customer-facing engagements. Alongside your project management and leadership responsibilities, you will bring hands-on authority as a HX-2 tactics instructor, ensuring every deployment reflects the highest standards of operational and tactical excellence. This role carries real weight: your decisions directly shape the customer experience of Helsing and the capabilities we build and deploy. The day-to-day - Lead end-to-end project management of international field deployments and training courses, ensuring on-time, on-standard delivery across multiple simultaneous engagements globally – from the High-North to the Indo-Asia Pacific and beyond - Serve as the primary business development lead during customer-facing deployments, building trusted relationships with defence and government stakeholders and feeding structured commercial intelligence back into the wider business - Deliver HX-2 tactics instruction to customer personnel as the subject-matter expert for the ALTRA recce-strike system, maintaining and evolving course content to reflect the latest operational doctrine and system capabilities - Act as the senior customer success owner during field engagements, proactively identifying and resolving issues, capturing feedback, and translating customer outcomes into measurable programme, training, and product improvements - Represent Helsing operationally across international markets, coordinating closely with internal teams (Sales; BD; Production; Logistics; Export Control; Product Management; Legal; and People) to align field activity with strategic business priorities and ensuring a consistent, high-quality customer experience You should apply if you - Have held a leadership position managing complex field operations and/or training programmes in high-stakes, time-critical environments, ideally within a military or defence context - Have experience in the design, development, and implementation of NATO or equivalent training programmes, including experience of training design frameworks such as: UK DSAT; US SAT / ISD (ADDIE); NATO Systems Approach to Training; and NSIQC - Are enthused by the prospect of: - regular overseas deployments with the requirement to operate in field conditions alongside military our partners for 2-3 week periods - leading and working alongside diverse and exceptionally proficient forward deployed technical engineering colleagues - training and enabling military users to rapidly develop proficiency on our systems, and to support them beyond initial training on their exercises and operational deployments - Bring direct, hands-on experience operating or instructing on the HX-2 recce-strike system, or have served as a qualified tactics instructor on a comparable recce-strike, loitering munition UAS platform, or within a support weapon trade such as Javelin anti-tank, reconnaissance, or sniper specialisms - Have built and sustained trusted relationships with senior defence or government customers, and can credibly operate as a business development lead during live customer engagements - Hold, or are eligible to obtain, the security clearance required for the operational demands of this role - Communicate with clarity and authority in English to native standard, with the interpersonal range to operate effectively across diverse international defence audiences Join Helsing and work with world-leading experts in their fields - Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns - The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world - Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward - In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts - We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer - Competitive salary and VSOP options - Relocation support : up to €2,500 and 4 weeks temporary accommodation - Learning : €500/£450 yearly allowance - Health & wellness : gym membership and mental health support (Nilo.health) - Social : regular company events and monthly social allowances - Enhanced parental leave : 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers - Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work - A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one (Specifically for engineering and AI) These are the core benefits across all locations, there may be additional benefits in certain locations. Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation. Helsing's Candidate Privacy and Confidentiality Regime can be found here . Helsing's Candidate Privacy and Confidentiality Regime can be found here .
Software Engineer - Ground to Air HMI
Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. The role Our Ground to Air HMI enables air forces to operate autonomous systems in missions. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations – from mission planning to command and control (C2) and mission debrief – so must be both reliable and frictionless. Taken together, this brings a whole host of interesting backend and frontend engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples: - Distributed systems (e.g., intermittent connectivity and eventual consistency) - Human-autonomy teaming (e.g., HMIs for effective human oversight and control) - Networking (e.g., long-range low-bandwidth radios and cross-medium routing) - Real-time interfaces (e.g., tactical situation display and streaming sensor feeds) - Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets) - Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling) - Machine learning (e.g., systems for model development, storage, and dissemination) In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies. The day-to-day - Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work. - Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one. - Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation. - Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time. - Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust, Python, and TypeScript, with Python mainly living in the ML-heavy sections, TypeScript being used in our UIs, and Rust being used in backends, onboard, and embedded software. - Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind. - Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirreling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing. You should apply if you - Can write legible, maintainable, and performant code. - Communicate well in English, both verbally and in writing. - Enjoy collaborating with others, including reviewing code and pair programming. - Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email). - Are familiar with backend interface tools like REST APIs, webRTC, gRPC/Protocol Buffers, and Arrow. - Strive to improve yourself, your peers, and the culture you work in over time. - Feel like ethical considerations are an inherent part of engineering. Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Nice to have - Development experience with a language like Rust, Java, Go, or C++. - State-of-the-art experience with frameworks like React. - Experience in designing long-lived protocols and data schemas for system integration. - Enjoy designing data-heavy UIs and have strong prototyping skills. - Experience building aviation software according to DALs and standards like DO-278. - Knowledge about NATO UCS standards like STANAG 4586/AEP-84. - Knowledge about Metrics tooling (e.g., Prometheus, Grafana, ELK). - Experience with production ML systems. Join Helsing and work with world-leading experts in their fields - Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. - The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. - Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. - In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts. - We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. What we offer - A focus on outcomes, not time-tracking - Competitive compensation and VSOP options - Relocation support - Social and education allowances - Regular company events and all-hands to bring together employees as one team across Europe Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation. Helsing's Candidate Privacy and Confidentiality Regime can be found here .
Software Engineer - Backend
Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. The role At Helsing we develop and deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate , and perceive the world in real time. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples : - Distributed systems (e.g., intermittent connectivity and byzantine actors) - Embedded computing (e.g., resource-constrained compute and reverse-engineering) - Robotics (e.g., control systems and tasking) - Networking (e.g., long-range low-bandwidth radios and cross-medium routing) - Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets) - Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling) - Machine learning (e.g., systems for model development, storage, and dissemination) In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies. The day-to-day - Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work. - Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one. - Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation. - Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time. - Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections. - Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind. - Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing. You should apply if you - Can write legible, maintainable, and performant code. - Communicate well in English, both verbally and in writing. - Enjoy collaborating with others, including reviewing code and pair programming. - Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email). - Have backend development experience, ideally with a language like Rust, Java, Go, or C++. - Are familiar with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers, and Arrow. - Strive to improve yourself, your peers, and the culture you work in over time. - Feel like ethical considerations are an inherent part of engineering. Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Nice to have - Rust and Python specifically. - Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS). - Metrics tooling (e.g., Prometheus, Grafana, ELK). - SQL and streaming database systems. - Routing protocols (e.g., IGP, BGP). - Cryptographic protocols (e.g., Signal, WireGuard). - Hardware interfaces (e.g., Arduino). - Robotics (e.g., control systems). - Production ML systems. Join Helsing and work with world-leading experts in their fields - Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. - The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. - Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. - In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts. - We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. What we offer - A focus on outcomes, not time-tracking - Competitive compensation and VSOP options - Relocation support - Social and education allowances - Regular company events and all-hands to bring together employees as one team across Europe - A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation. Helsing's Candidate Privacy and Confidentiality Regime can be found here .
Software Engineer - Autonomous Air System V&V
Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. The role Our Autonomous Air System V&V team builds the simulation and validation environments that enable rigorous testing of autonomous air systems before they ever leave the ground. We develop Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL) environments that allow engineers to integrate, test, and assure AI-driven capabilities against virtualised and representative hardware. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations – from mission planning to command and control (C2) and mission debrief – so must be both reliable and frictionless. Taken together, this brings a whole host of interesting backend engineering challenges across a wide variety of fields that you'll help us solve. To give some examples: - Simulation frameworks (e.g., high-fidelity SiL/HiL environments, real-time and deterministic simulation) - Test automation (e.g., fault injection, automated test coverage, regression testing at scale) - Hardware-software integration (e.g., testing against representative hardware, sensor and actuator interfaces) - Real-time and high-performance computing (e.g., concurrency, low-latency execution, profiling and optimization) - Distributed systems (e.g., orchestrating complex multi-component test environments) - Deployment infrastructure (e.g., air-gapped devices and heterogeneous test rigs) - Machine learning (e.g., systems for testing and validating AI/ML model behaviour) In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies. The day-to-day - Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work. - Design and develop modules in simulation and validation frameworks, writing high-performance Rust code for simulators and test infrastructure. - Build tools for automated test coverage, fault injection, and regression testing to ensure comprehensive validation of autonomous systems. - Work closely with autonomy and systems teams to capture requirements and ensure simulation environments accurately represent real-world conditions. - Debug and profile simulation performance, identifying bottlenecks and optimizing for speed, determinism, and fidelity. - Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one. - Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation. - Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller "let's learn together" groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time. - Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is primarily Rust and Python. - Maintain documentation and testing infrastructure, ensuring that our simulation environments are well-documented and accessible to other teams. - Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind. - Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirreling away at something that doesn't matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing. You should apply if you - Write modern, maintainable Rust. - Have experience in simulation, testing, robotics frameworks or autonomous driving. - Are comfortable with complex systems and concurrency. - Care about reliability, performance, and safety. - Enjoy working on the interface between software and hardware. - Are motivated by fast feedback loops and real impact. - Can write legible, maintainable, and performant code. - Communicate well in English, both verbally and in writing. - Enjoy collaborating with others, including reviewing code and pair programming. - Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email). - Strive to improve yourself, your peers, and the culture you work in over time. - Feel like ethical considerations are an inherent part of engineering. Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Nice to have - Aerospace or automotive background. - Software/Hardware-in-the-loop or simulation experience. - Experience building test rigs or ground-based integration systems. - Knowledge of flight dynamics or control systems. - Exposure to AI/ML systems testing. - Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS). - Metrics tooling (e.g., Prometheus, Grafana, ELK). - Production ML systems. Join Helsing and work with world-leading experts in their fields - Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. - The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. - Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. - In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts. - We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. What we offer - A focus on outcomes, not time-tracking - Competitive compensation and VSOP options - Relocation support - Social and education allowances - Regular company events and all-hands to bring together employees as one team across Europe Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation. Helsing's Candidate Privacy and Confidentiality Regime can be found here .
Software Engineer
Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. The role At Helsing we develop and deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate , and perceive the world in real time. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples : - Distributed systems (e.g., intermittent connectivity and byzantine actors) - Embedded computing (e.g., resource-constrained compute and reverse-engineering) - Robotics (e.g., control systems and tasking) - Networking (e.g., long-range low-bandwidth radios and cross-medium routing) - Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets) - Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling) - Machine learning (e.g., systems for model development, storage, and dissemination) In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies. The day-to-day - Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work. - Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one. - Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation. - Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time. - Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections. - Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind. - Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing. You should apply if you - Can write legible, maintainable, and performant code. - Communicate well in English, both verbally and in writing. - Enjoy collaborating with others, including reviewing code and pair programming. - Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email). - Have backend development experience, ideally with a language like Rust, Java, Go, or C++. - Are familiar with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers, and Arrow. - Strive to improve yourself, your peers, and the culture you work in over time. - Feel like ethical considerations are an inherent part of engineering. Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Nice to have - Rust and Python specifically. - Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS). - Metrics tooling (e.g., Prometheus, Grafana, ELK). - SQL and streaming database systems. - Routing protocols (e.g., IGP, BGP). - Cryptographic protocols (e.g., Signal, WireGuard). - Hardware interfaces (e.g., Arduino). - Robotics (e.g., control systems). - Production ML systems. Join Helsing and work with world-leading experts in their fields - Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. - The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. - Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. - In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts. - We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. What we offer - A focus on outcomes, not time-tracking - Competitive compensation and VSOP options - Relocation support - Social and education allowances - Regular company events and all-hands to bring together employees as one team across Europe - A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation. Helsing's Candidate Privacy and Confidentiality Regime can be found here .
Lead Systems Engineer
Who we are Helsing develops artificial intelligence-enabled capabilities to protect and defend democracies. We are growing our US operations, cultivating an ambitio u s and committed team of mission-driven professionals to apply their skills to solve challenging problems. The role As Lead Systems Engineer, you will own the systems engineering life cycle for next-generation loitering munition systems being developed for the U.S. Army. This is a hands-on technical leadership role spanning requirements, architecture, verification, and hardware-software integration. You will be the technical authority for translating government requirements into verified, fielded capability spanning the all-up round, ground/fire control system, and their integration into the command-and-control force structure. You will grow, lead, and mentor a team of systems engineers, while also serving as the program's individual technical authority within the Systems Engineering Integrated Product Team (IPT). You will shape the Systems Engineering Management Plan (SEMP) and serve as the technical conscience of the program. The day-to-day - Lead the development and management of system and subsystem requirements, translating U.S. military operational needs into detailed engineering specifications. - Own requirements traceability from the Government Requirements Matrix through to system verification and validation. - Collaborate with multidisciplinary engineering teams, including software, safety, hardware and integration, to develop robust system architectures. - Support the system's path to certification by ensuring compliance with technical and regulatory requirements. - Partner directly with U.S. Government stakeholders, System Architects and internal engineering teams to deliver mission-critical capabilities. - Act as the technical authority during design reviews, balancing high-level architecture decisions with hands-on technical problem solving. - Troubleshoot complex system integration and interface issues throughout development and testing. - Provide technical leadership throughout the full system development lifecycle, acting as the program's trusted engineering authority. - Shape customer needs into system and subsystem requirements in collaboration with multidisciplinary teams. - Develop systems engineering artifacts, including the system model, to trace every requirement from stakeholder input through a verified design in a single digital thread. - Communicate and manage program risk together with the Chief Engineer and Program Management. - Lead the System Engineering IPT and own the SRR, PDR, and CDR, and organize and execute Interim Progress Reviews and Test Readiness Reviews, ensuring every technical baseline is established , maintained, and configuration controlled. - Ensure the system meets every technical and engineering requirement, including quality assurance, reliability, maintainability, system compatibility, and system safety engineering. - Assess the progress of development test and evaluation, production, and sustainment, and recommend design or requirement changes as new technology or test results warrant. - Work with Test and Evaluation and Field Engineering teams to p lan and guide execution of the verification and validation campaign, including hardware-in-the-loop testing and analysis, to verify system performance against requirements before government developmental and safety testing. You should apply if you - Hold a university degree in systems engineering, aerospace engineering, mechanical engineering, electrical engineering, computer science, or a related discipline. - Have 10 or more years of systems engineering experience across the life cycle of complex defense, aerospace, or munition systems. - Have outstanding communication skills, including presenting engineering artifacts to technical and non-technical audiences. - Have experience developing subsystem and component requirements and interfaces, including mission systems. - Have experience with systems engineering, requirements elicitation and management, integration, and test activities on complex DoD weapon systems. - Have experience on mature aircraft or munition development programs, including operational testing and airworthiness certification. - Are familiar with the following standards and handbooks: MIL-HDBK-516C (Airworthiness Certification Criteria), MIL-STD-882E (System Safety), SAE ARP-4754A and ARP-4761 (Development and Safety Assessment), DO-178C (Software Assurance), DO-254 (Complex Hardware Assurance), and MIL-STD-881 (Work Breakdown Structures). - Have experience with Cameo MagicDraw or similar systems engineering software. - Are a U.S. citizen and able to obtain and maintain a Secret security clearance. - Are willing to travel to government test facilities and vendor or partner sites as required. Note: We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarized in a few bullet points. Join Helsing and work with world-leading experts in their fields - Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns - The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world - Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defense industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward - In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts - We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practice responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer - A focus on outcomes, not time-tracking - A generous compensation and benefits package (in addition to base salary) that includes, but may not be limited to, insurance coverage (medical and travel), flexible paid time off, paid holidays, and remote and/or hybrid work available depending on position. All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated or superseded from time to time. The base salary offered to the successful candidate will be determined by a variety of factors including relevant experience, qualifications, education, skill level, interview performance, and the level and scope of the position. Helsing is an Equal Opportunity Employer. We will consider all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, genetics, or any other characteristic protected by applicable federal, state, or local law. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation. Helsing's Candidate Privacy and Confidentiality Regime can be found here .
Deployed AI Engineer
Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. The role Software only matters when it is actively being used and making a difference. As a Deployed AI Engineer, you will be at the heart of this - taking state-of-the-art software and integrating it into complex systems. You will be defining and executing against the end-to-end outcome and all steps on the way to delivering novel capabilities in some of the most challenging environments around. For example: you collaborate directly with customer avionics engineers to understand the data structures and APIs used in aircraft mission control systems. Instead of being scared, you embrace the complexity of unfamiliar databases, APIs, or network protocols; you dig into the specification and use your creativity and ingenuity to implement adapters for integrating them with Helsing’s cloud infrastructure. By working closely with our partners and customers (both metaphorically and quite literally), you continuously evolve, improve, and operate Helsing software. You own the outcome end-to-end. The day-to-day In close collaboration with our product teams, you will discover and formalise customer requirements, identify bugs, and ship the latest features directly to our users. Technology demonstrations are our chance to shine - you will coordinate between customers, partners, and Helsing engineers to showcase Helsing’s software and AI capabilities in simulations or with real systems. You should apply if you - Have a degree in computer science, software engineering, electrical engineering, or other relevant fields. - Have a broad understanding and creative use of computer systems; this is the Swiss army knife in Helsing’s toolbox of world-class talent. - Prefer asking questions over stipulating answers. - Love figuring things out, digging deeper and deeper into unfamiliar systems until it finally clicks, and you understand how they work. - Are not afraid of legacy systems and would rather make them work than give up and try to rewrite it all. - Are comfortable with scripting languages such as Bash or Python and have experience with software engineering in C++, Java, Rust, or similar. - Can navigate and configure Linux systems and have an understanding of network stacks and database systems. - If applying for Germany- it is a requirement that you are able to speak business level or fluent German Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Nice to have - Experience with Rust and Python. - Experience with container-based, cloud-native and edge application architectures. - Experience with maintaining and operating production systems using Prometheus, Grafana, ELK, or similar. - Experience with SQL, NoSQL, and streaming database systems. - Experience with production ML systems. - Bonus points: you have professional experience working in a defence context. Join Helsing and work with world-leading experts in their fields - Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. - The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. - Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. - In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts. - We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. What we offer - A focus on outcomes, not time-tracking - Competitive compensation and VSOP options - Relocation support - Social and education allowances - Regular company events and all-hands to bring together employees as one team across Europe - A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation. Helsing's Candidate Privacy and Confidentiality Regime can be found here .
Product Manager, Intelligence
WE’RE HEIDI. We're building the future of healthcare by giving every clinician the earth's finest AI Care Partner. Our platform has absorbed the administrative chaos of 175 million patient visits and supported 67 million clinical hours. Today, we support 2.8 million patient sessions a week across 190+ countries, in 110 languages and over 200 specialties. Healthcare systems are failing us; clinicians spend more time on documentation than on patients, and the human connection that makes medicine worth practicing is eroding. Our mission is simple: double the world’s capacity for care and strengthen the human connection at its heart. We found product-market fit with a freemium medical scribe that clinicians love. Now, we're expanding. Every task a clinician hands to Heidi is a patient who feels more attended to, a health system unclogged, and a clinician who gets to be a clinician again. We’ve grown annual recurring revenue from $1 million to $50 million in two years. To go further, we’ve secured US$340 million: a $100 million Series C led by Blackbird, with Phoenix Court, Point72 Private Investments and Headline, alongside a $240 million growth investment led by General Catalyst’s Customer Value Fund. If you want to join us in doing work worth shipping, jump in. THE ROLE We’re looking for a Product Manager to build the next generation of clinical intelligence at Heidi. Millions of clinical sessions per week generate an extraordinary volume of structured health data. Your job is to turn that into products that help clinicians, health systems, and Heidi itself make better decisions. This role blends structured data products, AI-native experiences, and exploratory product discovery. You will own how clinicians and organisations interact with their clinical data: analytics, reporting, operational insights, and the intelligent surfaces that make Heidi more valuable the more it’s used. When a clinic understands its referral patterns, when a health system sees adoption across departments, when an AI model gets smarter because the data underneath it improved: that’s your work. This role will be based in either our Sydney or Melbourne office. We don’t care about logos; the traditional insignia of competence. We’ll evaluate senior well-credentialed candidates and young, hungry hopefuls alike. WHAT YOU’LL DO - Own product strategy and roadmap for Heidi’s intelligence products, setting clear goals and being held accountable to achieving them - Build intelligent experiences that help clinicians and health systems unlock deeper understanding from their clinical data - Own reporting, analytics, and insight surfaces that make Heidi more valuable the longer a customer uses it - Scope and ship AI-native features that turn clinical data into proactive insights and decision tools - Match deep customer understanding with business goals to deliver products that drive retention and expansion - Prioritise across new intelligence capabilities, data quality, and the infrastructure that supports them - Work with AI and product teams so intelligence products stay ahead of what the underlying models can do - Work with engineering on architecture trade-offs at a technical level - Spot patterns that multiple teams are solving separately and consolidate them WHAT YOU’LL NEED - BA/BS in a technical or analytical field (e.g. Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or related) - 4+ years in product, infrastructure, or technical roles, though we care more about what you’ve built than time served - A romantic streak about software and a belief that great design transforms someone’s day - Technical enough to hold your own with engineers, credible enough to present infrastructure trade-offs to leadership - Genuine curiosity about what breaks when software moves from development to production at scale - Experience in data products or platforms (metrics layers, data APIs, semantic modelling) is a genuine advantage, though the right person can learn the domain - You build with AI tools (Cursor, Claude Code, whatever ships faster) and can show what you’ve made with them - Fluency with core LLM concepts and systems (prompting, fine-tuning, embeddings, retrieval, evaluation) and the judgment to translate these into reliable, user-facing products - You default to building over requesting - Strong opinions, weakly held; you’ll shift the room when you’re right - Data fluency with diagnostic teeth; you can read usage data and distinguish a product problem from a data quality problem from a customer-specific issue If you answer ‘NO’ to these questions, this may not be the job for you: - Are you an execution powerhouse? - Have you shipped something this week? - Are you good at games? - Did you have a weird teenage hobby? - Are you able to execute without a legion of data analysts, product marketers, and research coordinators at your beck and call? - Does the prospect of making health systems a lot nicer make you feel fuzzy inside? HOW WE SHOW UP - Build for the next decade, not next quarter. Our targets are outrageous on purpose. The world's health doesn't have the luxury of incrementalism. - Lead, don't wait. We treat tomorrow's problems today. Sometimes we build what's needed before it's wanted, and we're fine with that. - Follow the evidence. Trust the patient. We pursue truth relentlessly. But when the subjective and objective disagree, we treat the patient, not the numbers. Ego is a comorbidity we can't afford. - Own the outcome. Everyone here carries the company. Raise problems with solutions, solve them end-to-end, and never be a bystander. - Ship, measure, go again. A button today, a workflow tomorrow. More iterations beat better planning. We're precise at pace, not reckless. - Live in clinicians' reality. Not the ideal workflow, the twenty-patients-before-lunch actual one. We build for exhausted humans, and we'd better be decent ones while we do it. Why Heidi? You’ll join a team measured on real-world impact, not press cycles. We live and breathe the challenges of modern health systems, and are laser-focused on exacting the change we’d like to see. We’re medicos, engineers, builders and designers who’ve felt (on every side of the equation) what non-care feels like, the moral and practical toll as a provider or receiver. Building what we’re building isn’t always easy. Standard tech playbooks routinely fail in healthcare, and the friction of the medical system will test your perseverance. But we didn’t choose easy, we chose a purpose-driven mission that actually matters. We hold ourselves to a higher standard because healthcare demands it. If you join Heidi, you recognize that the deeper question isn’t whether AI can solve the global healthcare crisis, but whose hands will shape it. True A-players progress extremely fast here. The nature of the scale-up game is demanding, but we value sustainable performance and mental health. You're trusted to perform, and you set your schedule. We operate on outcomes > inputs, not process theatre. We all take the bins out, metaphorically and literally. We take care of you. We offer healthcare, dental and vision benefits, a 401k with 3% company match, a $700 annual learning and development budget, a $100/month health and wellness allowance, a $500 home office budget, 26 weeks paid primary parental leave and 18 weeks paid secondary parental leave, fertility support up to $7,000, four weeks of work from anywhere per year, and serious equity. We chose to open-source our benefits hub, if you care to take a peek.
Staff/Sr. Staff Software Engineer, Product Enginee...
WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff or Senior Staff Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects that span multiple Product Engineering teams and product lines. You'll work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. Product Engineering covers a lot of ground, and we're looking for engineers across multiple domains — backend, full stack, and AI. We want people who have built great products across consumer, enterprise, and everything in between, and who are excited about building the future of application layer and genAI products. You'll build both the surfaces where lawyers meet Harvey — web, mobile, and embedded experiences in Word, Outlook, and Slack — and the agentic capabilities that power them. This role can be based in New York City or San Francisco, with a hybrid schedule of three days a week in office. WHAT YOU'LL DO - Bring AI to where our customers already work: build Harvey across every surface — web, desktop, mobile, and embedded experiences (Google Docs, MS Word, Outlook, and Slack), and API. - Lead large, high-priority projects that span multiple teams, and define the technical bets we make over the next several quarters. - Find the problems that are business critical, prioritize ruthlessly, and make the big tradeoff calls without slowing anyone down. - Build AI-platform and AI-native capabilities — the agent harness, agent building (custom agents and workflows), tool calling, retrieval, memory and context management, personalization and tone, the thread experience, and the evals that turn model quality into product quality. - Ship the systems that make Harvey work: retrieval over petabyte-scale document corpora, ingestion growing 10x every six months, data collection across 50+ jurisdictions, and government-level security for the world's most sensitive matters. - Ship across the stack — React and TypeScript alongside Python and Postgres — architecting intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows. - Mentor senior and staff engineers, and raise the bar for how the whole org builds. WHAT YOU HAVE - 10+ YoE (post-BS/MS) in a product-focused software engineering role, operating at Staff level or above. - Depth in full stack, backend, or agents/AI — and enough range to be useful outside it. - Experience building scalable, extensible systems that support multiple product lines. - Track record of shipping highly intuitive products in fast-growing SaaS, strong attention to detail. - Experience with React, TypeScript, CSS (we use TailwindCSS), Python, or related. For agents/AI, proficiency in Python plus hands-on work building and shipping agentic systems — agent harnesses/loops, tool use, memory, and evals — not just calling LLM APIs. - You embrace AI in how you build: AI coding tools (Claude Code, Cursor, Codex, or similar) are a core part of how you ship, and you have sharp instincts for where they accelerate work and where they fall short. - A history of influencing and aligning engineers and leaders well outside your direct scope. - Strong programming skills and general Computer Science knowledge. - Grit — experience working at early-stage startups is a plus. COMPENSATION $231,000 – $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-PM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Staff Software Engineer, Secure Execution
WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff Software Engineer on the Security Engineering team, you will join as a founding team member and build the security foundations that let Harvey put increasingly capable AI agents to work. You'll lead development of a platform for agents to perform security work, while shaping how agents are sandboxed across our product and internal platforms. One of the central challenges is enabling models with advanced cybersecurity capabilities to discover and validate vulnerabilities automatically, including through authorized penetration testing, while protecting sensitive data and systems. You'll build the execution environments, orchestration, and controls that make this possible, and help enable the internal use of open-source models with appropriate protections around inference, tool use, and data access. You'll work closely with the teams building Harvey's product sandbox and internal AI agent platform, shaping architecture and contributing production code to strengthen execution boundaries. Your impact will come from shipping systems, establishing a shared technical direction, and making security capabilities reusable across teams. You'll own work from design through rollout and operation, balancing containment with the reliability, performance, and flexibility that useful agents need. WHAT YOU'LL DO - Set the technical direction for secure agent execution, working across Security, Infrastructure, and Product Engineering to turn emerging capabilities and risks into a concrete roadmap. - Design, build, and operate a platform for security agents to discover and validate vulnerabilities within authorized targets and execution boundaries, producing reproducible evidence that engineers can act on. - Build reusable controls for agent tool use, code execution, network and filesystem access, resource consumption, and workload lifecycle. Integrate with identity and secrets platforms to limit access to the data and credentials each task needs. - Partner with the owners of Harvey's product sandbox and internal agent platform to make architectural decisions, implement protections, and integrate shared security capabilities into their execution environments. - Enable internal use of open-source models alongside infrastructure teams, building protections around model serving, agent execution, and sensitive-data handling. - Develop adversarial tests, evaluations, and telemetry that verify containment and expose failures. Build mechanisms to scope, observe, interrupt, and safely terminate agent activity. - Lead delivery and adoption across teams, mentor engineers, and remain hands-on through implementation and production operation, making clear tradeoffs across security, reliability, latency, and cost. WHAT YOU HAVE - 10+ years developing and running production software, including technical leadership on initiatives spanning multiple engineering teams. - Strong software engineering skills in languages such as Go, Rust, Python, or C++, with practical experience in Linux systems, networking, and containerized infrastructure. - Deep expertise in one or more areas of execution security, such as sandboxing, operating-system isolation, container or virtual-machine security, or platforms that execute untrusted code. You can translate threats into enforceable boundaries and test how those boundaries fail. - Experience building shared platforms, services, or libraries and helping other teams adopt them through clear interfaces, documentation, and safe migrations. - Experience with cloud infrastructure and distributed systems, including observability, failure handling, capacity management, and dependable production operation. - Fluency with AI-assisted engineering and agentic workflows: you use models to accelerate development, validate their output, and reason about the risks introduced when agents use tools, execute code, or access sensitive data. - Strong communication and technical judgment, with a record of bringing teams to agreement on ambiguous problems and carrying decisions through to delivery. NICE TO HAVE - Experience with microVMs, hypervisors, or sandbox runtimes such as Firecracker, gVisor, or Kata Containers, or Linux isolation mechanisms such as namespaces, seccomp, and Landlock. - Experience building agent runtimes, tool-execution frameworks, or automated security-testing platforms. - Experience with vulnerability research, penetration testing, or adversarial evaluation of agent systems, including turning findings into reproducible tests and effective controls. - Experience deploying or securing self-hosted inference and open-source models, including isolation of model-serving workloads and protection of sensitive inputs and outputs. COMPENSATION $231,000 - $346,400 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-NP1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Staff Software Engineer, Production Engineering
WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building the AI platform trusted by the world’s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload. We’re looking for a Production Engineer to help build and operate Harvey’s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You’ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale. In this role, you’ll improve the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform. You’ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You’ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth. At Harvey, we value Decisiveness, Simplicity, and the belief that Job’s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence. WHAT YOU'LL DO INFRASTRUCTURE ENGINEERING & TECHNICAL LEADERSHIP - Design, build, and operate the production infrastructure that powers Harvey’s products and AI workloads. - Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations. - Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost. - Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions. - Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely. - Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship. INFRASTRUCTURE FOUNDATION & PRODUCTION OPERATIONS - Build and operate Harvey’s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance. - Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads. - Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth. - Operate and continuously improve Harvey’s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation. - Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring. - Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls. - Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi. - Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform. - Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements. WHAT YOU HAVE - 10+ years of software, infrastructure, site reliability, or production engineering experience. - Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform. - Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability. - Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics. - Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi. - Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations. - Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response. - Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices. - A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority. - Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders. - A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms. NICE TO HAVE - Experience supporting AI/ML or LLM infrastructure at scale. - Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning. - Experience with multi-cloud infrastructure or hybrid cloud environments. - Experience building internal platforms or developer tooling that improves engineering velocity and production safety. COMPENSATION $231,000 - $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Staff Product Manager, Infrastructure
WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Product Manager on the Core Platform team at Harvey, you'll own the strategy, roadmap, and execution for the infrastructure that powers every user interaction with our global legal AI platform. Harvey serves the world's leading legal teams, processing trillions of tokens and millions of daily requests, and your work will shape how that capability reaches our users. You'll operate at the intersection of deep customer need and hard technical constraints, translating the workflows of lawyers and other professionals into product requirements that engineering can build against. You'll balance ambitious, zero-to-one product bets with the operational discipline required to keep a mission-critical platform reliable, scalable, and secure as we expand across products, regions, and customers. Your decisions will directly influence adoption, retention, and the trust that our enterprise customers place in Harvey. WHAT YOU'LL DO You'll partner directly with our Head of Infrastructure to define and drive the product vision and roadmap for a core area of the Harvey platform, aligning it with company strategy and grounding it in evidence from customers (external and internal), data, and the market. You'll work closely with engineering, product, and go-to-market teams to ship high-quality products on a predictable cadence, and you'll own the outcomes those products produce. Day to day, you will own the entire infrastructure planning, prioritization, and roadmapping. You’ll make and communicate crisp prioritization decisions, balancing new capabilities against reliability, performance, and security. You'll define the metrics that matter for your area — adoption, engagement, quality, and business impact — and hold the team accountable to them. You'll also serve as the connective tissue across functions, ensuring that customer feedback, competitive dynamics, and technical realities all inform the product direction, and you'll raise the product bar across the organization through rigorous specs, reviews, and decision-making. Some projects include architecting multi-region deployment strategies, developing comprehensive observability infrastructure, and more. WHAT YOU HAVE - 6+ years of product management experience shipping and scaling software platforms in a production environment, with a track record of measurable impact - Experience owning complex, technical products end to end, including platform, infrastructure, or AI/ML capabilities - Strong ability to translate ambiguous problems and deep customer needs into clear strategy, crisp requirements, and prioritized roadmaps - Fluency working with engineering and design teams on technical trade-offs, and comfort engaging with concepts like distributed systems, APIs, and cloud infrastructure at a level sufficient to make informed decisions - Excellent analytical skills, with the ability to define metrics and use data to guide decisions - Outstanding written and verbal communication, and a demonstrated ability to influence and align stakeholders across functions - A high bar for quality, strong product judgment, and a "spidey sense" for where a product experience could break down Nice to Have - Experience building products for legal, professional-services, or other expert users with demanding accuracy and trust requirements - Background with AI/ML products, LLM-powered applications, or high-throughput inference systems - Experience with multi-tenant, enterprise platforms subject to strict security and compliance requirements - Prior experience partnering closely with infrastructure or platform engineering teams - A prior career in law or another professional-services field, or experience building tools for those users COMPENSATION $213,600 - $300,000 DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-ML1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Software Engineer, Database Infra
WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff Database Engineer on the Engineering team at Harvey, you will define how our database infrastructure operates and evolves across our legal AI platform. Harvey runs a global fleet of PostgreSQL databases spanning multiple regions and availability zones. You’ll own the technical strategy for this fleet—setting the standards for migration governance, driving architecture decisions for multi-region scaling, and establishing the operational practices that keep our data layer reliable as we grow. This is a leadership role with deep hands-on expectations. You’ll partner directly with Principal and Staff Engineers on infrastructure roadmap decisions while also being the person who can diagnose a replication lag spike at 2am. You’ll build the migration review framework, define the tooling strategy, and raise the bar for how the entire engineering organization thinks about database safety and performance. This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees. WHAT YOU'LL DO - Migration Governance – Own the migration governance framework end-to-end—design the review workflow, CI gate checks, automated rollback procedures, and fleet-wide deployment sequencing that makes safe migrations the default across the org - Architecture & Scaling – Drive the technical strategy for Harvey’s global database fleet—multi-region replication design, capacity planning, sharding and partitioning approaches, and fleet-wide observability as we scale into new markets - Reliability & Performance – Own database reliability and performance at the fleet level—monitoring replication health, optimizing query performance, tuning vacuum and connection management, and building the alerting that gives us confidence across all production environments - Platform & Tooling – Build self-service tooling and developer guardrails—migration dry-runs, schema diff previews, automated health checks, performance regression detection—so engineering teams can move fast without bottlenecking on a single DBA - Incident Leadership – Lead database incident response and drive systemic improvements—triage production issues, run post-incident reviews, and turn lessons learned into durable process and tooling fixes Even Better If You Can: - Security & Compliance – Partner with Security and Compliance to design and enforce data-layer controls for SOC 2, GDPR, and data residency requirements—access controls, audit logging, encryption standards, and data lifecycle policies - Strategic Partnership – Represent database engineering in vendor evaluations, build-vs-buy decisions, and technology strategy discussions with engineering leadership - Team Building – Shape the database engineering function at Harvey—define the operating model, set the hiring bar, mentor engineers on database best practices, and build the culture where teams proactively think about data safety WHAT YOU HAVE - 10+ years of hands-on experience in database administration, database reliability engineering, or infrastructure engineering with PostgreSQL as your primary database, with demonstrated staff-level scope—you’ve set standards across teams, not just operated within one - Expert-level PostgreSQL knowledge (required)—WAL mechanics, vacuum tuning, logical and physical replication, partitioning strategies, and the ability to debug production issues others can’t. PostgreSQL is our core database and deep fluency is non-negotiable - Track record of building migration governance systems—not just reviewing migrations, but designing the frameworks, tooling, and organizational processes that make safe migrations the default - Experience architecting database infrastructure for multi-region, high-availability environments—replication topologies, failover automation, and data consistency trade-offs at fleet scale - Deep fluency with database observability—you’ve built monitoring strategies using Datadog, pganalyze, or custom instrumentation, and you know which metrics actually predict incidents - Experience leading database major version upgrades (e.g., PostgreSQL 14 → 16) or sharding initiatives in production with zero downtime - Proven ability to influence technical direction across teams without direct authority—you’ve written RFCs, set standards, and changed how an engineering organization thinks about database operations - Proficiency with cloud database services at scale (Azure Database for PostgreSQL, GCP Cloud SQL, or AWS RDS/Aurora) and infrastructure-as-code (Terraform, Pulumi) - Clear communication across audiences—you can present a database architecture decision to the VP of Engineering and explain a migration risk to a junior developer with equal clarity Bonus - Strong software engineering skills (Python, Go, or similar)—you build production-grade tooling and automation, not one-off scripts - Exposure to vector databases, embedding storage, or adjacent systems (Redis, Elasticsearch, Kafka) relevant to AI/ML workloads in regulated industries - Background building or leading a database engineering function from scratch — defining the team charter, hiring, and operating model COMPENSATION $190,720 - $325,000 DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Senior Software Engineer, Production Engineering
WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building the AI platform trusted by the world’s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload. We’re looking for a Production Engineer to help build and operate Harvey’s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You’ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale. In this role, you’ll improve the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform. You’ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You’ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth. At Harvey, we value Decisiveness, Simplicity, and the belief that Job’s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence. WHAT YOU'LL DO INFRASTRUCTURE ENGINEERING & TECHNICAL LEADERSHIP - Design, build, and operate the production infrastructure that powers Harvey’s products and AI workloads. - Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations. - Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost. - Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions. - Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely. - Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship. INFRASTRUCTURE FOUNDATION & PRODUCTION OPERATIONS - Build and operate Harvey’s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance. - Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads. - Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth. - Operate and continuously improve Harvey’s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation. - Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring. - Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls. - Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi. - Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform. - Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements. WHAT YOU HAVE - 5+ years of software, infrastructure, site reliability, or production engineering experience. - Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform. - Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability. - Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics. - Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi. - Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations. - Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response. - Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices. - A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority. - Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders. - A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms. NICE TO HAVE - Experience supporting AI/ML or LLM infrastructure at scale. - Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning. - Experience with multi-cloud infrastructure or hybrid cloud environments. - Experience building internal platforms or developer tooling that improves engineering velocity and production safety. COMPENSATION $161,300 - $241,900 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Senior Software Engineer, Backend Platform
WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Backend Platform Engineer at Harvey, you will help build and operate the cohesive backend platform that all our services run on. In this mid-to-senior level role, you’ll design and implement shared frameworks and libraries that abstract common concerns, improve developer experience, and raise the baseline for reliability and performance across all teams. Your mission aligns with our platform charter: create “a shared foundation that enables product teams to ship reliable, observable, and performant experiences quickly and safely.” By centralizing common work, you’ll let product engineers focus on shipping features rather than re-inventing the wheel. This is a high-impact role where the code you write and the systems you build will amplify the productivity and quality of engineering across the entire company. If you’re excited about building foundational systems, solving cross-cutting technical challenges, and enabling others to move faster with confidence, we’d love to hear from you. WHAT YOU'LL DO - Develop and maintain Harvey’s internal backend frameworks and libraries that provide common capabilities (API routing, service lifecycle management, caching and messaging primitives, error handling interfaces, etc.), so product teams don’t have to reinvent them - Create and improve APIs, service templates, and versioned interfaces that establish consistent patterns for building new services and features - Introduce and champion modern backend architecture patterns like asynchronous I/O (asyncio) and streaming data processing, continually evolving our platform for better performance and scalability - Design Harvey-specific abstractions and domain-specific frameworks—covering cross-cutting concerns (e.g., authorization, streaming) and areas like data governance and event processing—to provide product engineers with these capabilities out of the box. - Embed reliability and observability into the platform by building in tracing, metrics, and automated tests (shift-left), ensuring services built on our foundation are robust and easy to monitor - Collaborate with Model Infrastructure team to tackle challenges unique to GenAI-native applications — such as supporting high-throughput model inference, managing streaming and long-running API interactions, and designing abstractions for retrieval, context handling, and prompt lifecycle - Collaborate with the Developer Experience and Infrastructure teams (who own CI/CD pipelines, build tools, and release infrastructure) to integrate our platform components seamlessly into the deployment and monitoring ecosystem - Work closely with product engineering teams to gather feedback, evangelize best practices, and make the “paved road” approach a reality — providing strong defaults and clear documentation so teams can move fast with confidence WHAT YOU HAVE - 5+ years of software engineering experience (post-BS/MS), including building scalable backend systems or internal developer platforms - Proficiency in Python (or similar languages) and deep knowledge of backend development fundamentals (APIs, data stores, concurrency, distributed systems) - Hands-on experience with web frameworks and service architectures (e.g. Flask/FastAPI, Bounded context services, microservices) and an understanding of designing clean, versioned APIs - Familiarity with caching, messaging, and database technologies (Redis, Kafka, SQL/NoSQL databases, Vector databases, etc.) and how to use them effectively for high performance and reliability - A track record of writing high-quality, well-tested code and using tools (unit/integration testing, static typing, CI) to catch issues early and ensure reliability - Strong problem-solving skills and a passion for improving developer experience — you enjoy creating tools or frameworks that make other engineers more productive - Excellent collaboration and communication skills, with the ability to work across teams and incorporate feedback. - Experience contributing to or maintaining internal libraries/frameworks is a plus. COMPENSATION RANGE $238,000 - $290,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Engineering Manager, Production Engineering
WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building the AI platform trusted by the world's leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload. We're looking for a Engineering Manager to lead our Infrastructure Production Engineering organization. This team is responsible for building and operating Harvey's core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations that enable engineering teams to move quickly with confidence. In this role, you'll own the reliability, scalability, security, and efficiency of Harvey's infrastructure platform. You'll lead a team of high-performing engineers responsible for compute fleet management, capacity planning, infrastructure automation, and production operations. You'll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey's rapid growth. You'll report to the Head of Infrastructure and play a key leadership role in shaping the future of Harvey's infrastructure platform. At Harvey, we value Decisiveness, Simplicity, and the belief that Job's Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence. WHAT YOU'LL DO LEADERSHIP & STRATEGY - Lead, mentor, and grow a team of high-performing infrastructure engineers responsible for Harvey's production infrastructure foundation. - Foster a culture of operational excellence, engineering quality, customer ownership, and continuous improvement. - Partner with Engineering, Security, Product, and AI Infrastructure leaders to define long-term infrastructure strategy and execution priorities. - Drive technical direction for compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations. - Lead cross-functional initiatives to improve reliability, scalability, security, operational efficiency, and infrastructure cost optimization. INFRASTRUCTURE FOUNDATION & PRODUCTION OPERATIONS - Own and operate Harvey's global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance. - Manage compute resources to maximize utilization, performance, and service availability while supporting rapidly growing AI workloads. - Lead capacity planning, demand forecasting, and fleet lifecycle management to ensure infrastructure scales efficiently with business growth. - Operate and continuously improve Harvey's Kubernetes platform, including cluster provisioning, upgrades, monitoring, reliability, performance, and operational automation. - Own Harvey's Temporal-based workflow orchestration platform, ensuring reliable, scalable, and observable execution of distributed application workflows. - Drive infrastructure cost optimization through capacity management, resource rightsizing, workload efficiency improvements, and utilization monitoring. - Build and maintain secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls. - Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi. - Establish comprehensive observability, monitoring, alerting, incident response, and operational readiness practices across the infrastructure platform. WHAT YOU HAVE - 7+ years of software or infrastructure engineering experience, including 5+ years leading engineering teams. - Deep expertise operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform. - Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability. - Experience building and operating large-scale distributed systems with strong reliability, scalability, and performance characteristics. - Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi. - Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations. - Experience designing and operating observability platforms, including monitoring, logging, alerting, and incident response processes. - Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices. - Demonstrated success leading complex cross-functional technical initiatives and influencing engineering strategy across organizations. - Excellent communication skills with the ability to communicate technical concepts clearly to both engineering and executive audiences. - A systems-thinking mindset and passion for building simple, reliable, and scalable infrastructure platforms. Nice to Have - Experience operating workflow orchestration platforms such as Temporal. - Experience supporting AI/ML or LLM infrastructure at scale. - Experience managing GPU fleets, high-performance compute infrastructure, or large-scale capacity planning. - Experience with multi-cloud infrastructure or hybrid cloud environments. COMPENSATION $260,000 - $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Engineering Manager, Enterprise
WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Engineering Manager, Product at Harvey, you’ll play a pivotal role in shaping the foundation of our product platform while directly building user-facing features for some of the world’s leading law firms and enterprise customers. This team owns and operates the platform layer that enables secure, reliable, and flexible experiences for our customers including notifications, permissions and feature flag infrastructure. We also build enterprise-grade collaboration product experiences for law firms. You will design and own systems that not only serve as critical infrastructure for the rest of the company, but also directly impact how our users engage with Harvey’s AI-powered legal tools. This role is ideal for engineers who are excited by the opportunity to move between deep platform thinking and hands-on product iteration. This role is based in Toronto, Canada. We use a hybrid, 3+ days-per week in-person work model and offer relocation assistance to new employees. WHAT YOU'LL DO - Own end-to-end delivery of core product initiatives, from technical design through execution and iteration, while directly managing a high-performing fullstack engineering team. - Set technical direction for large-scale, AI-powered systems, including: - Retrieval over petabyte-scale document collections. - Product interfaces that enable organizations to collaborate with AI. - Long-horizon (1000+ step) planning agents for mission-critical workflows. - Government-grade security for highly sensitive data. - Evaluation of LLMs across a 10k+ leaf taxonomy of tasks. - Internet-scale data collection across 50+ jurisdictions. - Translate product vision into architecture, making pragmatic tradeoffs that balance speed, quality, and long-term scalability in a fast-moving environment. - Lead hands-on when it matters: contribute to design, code, and architecture reviews, and dive into implementation to unblock the team or tackle the hardest problems. - Build and grow your team by hiring exceptional engineers, setting clear technical and behavioral standards, and investing in mentorship and career development. - Partner deeply with Product, Design, and AI to identify high-leverage opportunities and ship highly intuitive, detail-oriented user experiences. - Establish a strong engineering culture centered on simplicity, ownership, craftsmanship, and continuous improvement. - Align execution with company goals, ensuring technical investments directly support product strategy and long-term impact. WHAT YOU HAVE - 6+ years of experience as a product-focused fullstack or backend software engineer (post BS/MS), with a history of shipping real products to real users. - 2+ years of experience leading engineers, with clear ownership over both delivery and team health. Past management experience is a plus. - A proven ability to design and operate backend platforms that support multiple product lines at scale. - Strong experience with modern frontend frameworks (e.g. React) or backend systems (e.g. Python, Node, Go). - Excellent technical judgment: you know when to move fast, when to invest, and when to simplify. - A strong product instinct and attention to detail, with a track record of building intuitive, high-quality user experiences. - Demonstrated success building, motivating, and retaining high-performing teams in high-growth environments. - Solid computer science fundamentals and strong programming skills. - Grit and ownership mindset — you’re comfortable operating in ambiguity and taking responsibility for outcomes. - Bonus: experience with AI-powered applications, large-scale data systems, LLM evaluation, or complex internal platforms. WHAT WE OFFER - Be part of building something special as a founding member of our Toronto team - Structured hybrid working arrangement: 3 days in our Toronto office, 2 days working from home COMPENSATION CAD $196,800 - $270,600 We are an AI company and we use AI to improve all of our processes, including in the recruitment process. Whilst we do use AI to help improve efficiency in our recruitment process, we do not rely on AI to make any automated decisions and ensure that a human reviews AI output. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-KT1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Research Engineer, Formal Methods
ABOUT HARMONIC At Harmonic, we are building a mathematical reasoning engine that operates with absolute precision. While most AI makes maximum-likelihood guesses, Harmonic's Aristotle uses Lean4 and reinforcement learning to verify its reasoning and results. Following our Gold Medal-level performance on the 2025 International Math Olympiad (IMO) and the successful resolution of long-standing open problems, we are proving that AI can master the most rigorous domains of human thought. Backed by some of the world’s most prominent investors, we are intentionally scaling an elite technical team. Visit our company blog https://harmonic.fun/news to learn more about what we are working on! ABOUT THE ROLE We are seeking a highly motivated and skilled Research Engineer to join our Formal Methods team. The initial focus of this position will be on pushing the limits of AI based theorem proving for verification of software and/or hardware. The successful candidate will play a key role in developing new approaches to express and prove important software and hardware properties, work with AI researchers to train and develop AI systems to reliably check them. KEY RESPONSIBILITIES - Conduct research in formal methods for verification of software, hardware and mathematical domains - Apply formal verification techniques using Lean or similar frameworks to formally verify safety critical systems - Develop and implement algorithms and techniques to improve the efficiency and effectiveness of formal methods for AI systems MINIMUM QUALIFICATIONS - BS or MS in Computer Science, Mathematics, a related technical field, or equivalent industry experience - Basic proficiency in python - Proficiency and practical experience with at least one proof assistant (e.g., Lean, Coq, Isabelle, Agda) and a strong foundation in formal methods and mathematical logic - Experience driving highly technical research projects from early concept to delivery PREFERRED QUALIFICATIONS - Expert level knowledge of Lean4 - PhD in Computer Science, Mathematics, or related technical field - Experience verifying programs in safety critical fields such as; aerospace/defense, automotive, medical, cryptography, etc - Proven track record in research or development of programming languages - Proven track record of high-quality research demonstrated by publications, patents, or software contributions - Contributions to open-source projects or development of software tools in the field WHAT WE OFFER - Unlimited PTO - 401(k) matching - 100% employer-paid health, vision, and dental benefits for employees and 50% coverage for dependents. Harmonic offers varied health coverage options to select what is best for you and your family. - Health Savings Account (HSA) available for qualifying health plans EQUAL OPPORTUNITY STATEMENT Harmonic is committed to diversity and inclusivity in the workplace. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
VP of Product, Handshake AI
ABOUT HANDSHAKE Handshake is the career network for the AI economy. 25 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others - Build a massive, fast-growing business with billions in revenue ABOUT HANDSHAKE AI Handshake AI is the fastest-growing, most critical, and most revenue-generating part of Handshake's business. We power expert-labeled data collection at scale, matching domain experts with leading AI companies to train frontier models—and we're already a top-three player in one of the fastest-growing sectors in AI: human data. We have the opportunity to do for the AI data economy what LinkedIn did for professional networking: become the default platform where the work happens. ABOUT THE ROLE We're hiring a VP of Product to lead product for Handshake AI. This is not a "head of" role in name only—you will be the product leader for one of the fastest-growing AI startups in the country, owning the strategy, roadmap, and execution that determines how fast and how well we scale. You'll sit at the center of a business that is compounding quickly: new customers, new data modalities, a growing operator and fellow ecosystem, and an increasingly complex set of platform needs. Your job is to turn that complexity into a coherent product organization—one with clear strategy, strong PM talent, and a roadmap that keeps pace with (and gets ahead of) the business. You'll report into the CPO, sit on the senior team, and partner directly with Engineering, Design, Operations, and Sales/Customer leadership to shape where Handshake AI goes next. WHAT YOU'LL OWN Product Strategy & Vision. Set the product strategy for Handshake AI as a whole—across data modalities, the operator and fellow platforms, and customer-facing surfaces. Translate "become the career network and data engine for the AI economy" into a concrete, sequenced roadmap. Team Leadership. Build, lead, and grow a product organization of PMs across modalities and platform pods (e.g., Operator Experience, Fellow Experience, modality-specific pods like Coding). Hire exceptional product talent, set the bar for craft and rigor, and develop the managers and ICs on your team. Cross-Functional Partnership. Be the connective tissue between Engineering, Design, Operations, and GTM. Ensure the product org's priorities reflect both what customers need and what will scale the business fastest, and that trade-offs across pods are made coherently rather than in silos. Executive-Level Prioritization. Make and own the hard calls: which modalities to invest in, which platform capabilities to build now vs. later, and where to say no. Communicate strategy and trade-offs clearly to the exec team and the board. Metrics & Accountability. Define what success looks like for the product org—revenue enablement, quality outcomes, operator/fellow efficiency, time-to-launch for new modalities and customers—and hold the org accountable to it. Customer & Market Fluency. Spend real time with AI labs, enterprise customers, and internal stakeholders to understand how the market is evolving. Use that fluency to keep Handshake AI ahead of where the human-data category is heading, not just responsive to it. Scaling the Platform. Ensure the underlying product and operational platform can flex to new customer types, data types, and volumes—so growth in revenue doesn't require linear growth in headcount or one-off engineering. DESIRED CAPABILITIES - 12+ years in product management, including 4+ years as a senior product leader managing other PMs and managers, ideally at a high-growth startup. - Experience owning product for a business (or major business line) growing quickly, with a demonstrated ability to build strategy and org structure that scale with revenue. - Strong operational intuition—you've built or overseen platforms for internal users, operations teams, or complex two-sided marketplaces, not just consumer-facing features. - Track record hiring and developing product talent, including PMs who own ambiguous, 0→1 problem spaces. - Systems thinker who can hold a multi-modality, multi-stakeholder roadmap in their head and make coherent trade-offs across it. - Comfortable operating in high ambiguity: the market, the customer needs, and the product surface area are all still being defined. - Data-informed but action-oriented—you use metrics to prioritize, but you move with conviction when the signal is directional rather than definitive. - Excellent executive communication; you can represent product strategy credibly to the C-suite, the board, and customers. BONUS POINTS - Experience in human data, annotation/labeling, RLHF, or AI training data ecosystems. - Experience building or scaling a marketplace or platform business (two-sided, operator/worker-facing, or similar). - Prior experience at a fast-growing AI lab, data company, or enterprise SaaS company through a period of hypergrowth. - Experience building career, talent, or workforce products. WE OFFER Handshake delivers benefits that help you feel supported and thrive at work and in life. The below benefits are for full-time US employees. - 🎯 Ownership: Equity in a fast-growing company - 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching - 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching - 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend - 📚 Growth: $2,000 learning stipend, ongoing development - 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office - 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days - 🤝 Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers http://joinhandshake.com/careers.
Strategic Projects Lead, Safety
ABOUT HANDSHAKE Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. THE ROLE As a Strategic Projects Lead (SPL) on AI Safety & Red Teaming, you will own the execution of large-scale adversarial testing programs that directly develop frontier AI models before and after release. You will design and run structured efforts to push models to failure, spanning work such as evaluating harm and policy categories against frontier labs’ own policy specifications, developing jailbreak and adversarial technique pipelines, and extending red-teaming into agentic settings, among other methods, then work directly with frontier labs to turn what you find into sharper policies and stronger evaluation coverage. Working hands-on with leading AI labs, you will make real-time decisions that affect delivery quality, program scope, and long-term customer relationships. This is a high-ownership, outcomes-driven role for operators who thrive in ambiguity, move fast with incomplete information, and are accountable for results at scale. - Own end-to-end execution of red-teaming and safety evaluation programs spanning sensitive, high-severity harm categories, from scoping through delivery - Run multiple programs across different frontier labs and policy domains, each with its own scope, harm categories, and stakeholders - Design and run adversarial testing methodologies, such as jailbreak technique development and iterative push-to-failure testing, to surface model vulnerabilities against frontier labs’ policies - Extend red-teaming methods into agentic contexts, evaluating how models behave under adversarial pressure when operating with tools and multi-step autonomy - Lead and coordinate teams of expert Fellows executing sensitive, high-stakes testing work, maintaining precision and consistency across harm categories, languages, and markets - Partner directly with policy leads at frontier AI labs to identify coverage gaps, ambiguous classifications, and emerging risk areas, and help shape policy documents based on findings - Synthesize testing data into insight reports that surface trends, systemic gaps, and recommended areas of policy and evaluation development - Design and adapt staffing models for your red-teaming workforce (team size, skill mix, training, and incentive structures) to improve throughput and delivery reliability as program requirements evolve YOU HAVE - 2+ years of experience in trust & safety, red-teaming, security research, policy enforcement, or a related technical/analytical field - Excellent project and workforce management skills, comfortable leading and directing teams of red-teamers and testers against tight timelines and shifting scope - Strong analytical and first-principles problem-solving skills, comfortable operating in ambiguous, fast-changing testing environments - Working familiarity with adversarial testing concepts (jailbreak techniques, prompt-based exploits) or a fast ability to pick them up - Exceptional communication and stakeholder management skills, including with senior customers and policy teams at frontier AI labs - High ownership mindset with pride in end-to-end accountability - Curiosity and ability to quickly learn technical AI concepts, model behavior, and industry trends BONUS POINTS - Experience red-teaming, jailbreaking, or adversarially evaluating LLMs or agentic AI systems - Subject matter expertise in high-severity policy harms (e.g., CBRN, cyber, violent extremism) - Experience running testing or evaluation programs - Background in security research, offensive security, or AI safety research Note: This role involves exposure to sensitive or explicit content (e.g., violent, sexual, or otherwise disturbing material) as part of safety and policy evaluation work. WE OFFER Handshake delivers benefits that help you feel supported—and thrive at work and in life. The below benefits are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend 📚 Growth: $2,000 learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers http://joinhandshake.com/careers.
Strategic Projects Lead, Coding/RLE
ABOUT HANDSHAKE Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. THE ROLE As a Strategic Projects Lead, Coding/RLE you’ll run multi-week to multi-month coding data initiatives for leading AI and platform teams. You’ll coordinate hundreds to thousands of highly skilled SWE Fellows, design and own technical evaluation and annotation workflows, and be accountable for delivery, margins, quality and customer relationships. You’ll write and validate coding assessments, build rubric-driven code review processes, instrument quality signals, and quickly adapt workflows when systems and people need to flex to meet deadlines. This role bridges ML/product/engineering and operations — hands-on with code, fluent with metrics, and ruthless about data quality. What you'll do: - Multi-million ARR-equivalent program scope and delivery metrics. - End-to-end delivery of coding-data programs: scoping → assessment design → Fellow selection → annotation → QA → customer feedback. - Design and run technical screens (take-homes, unit-test driven tasks, live coding) that populate the SWE Talent Bench - Create rubrics, audit processes and tooling to ensure code annotations/model labels meet production quality. - Create scripts/infrastructure (Python/TypeScript/SQL) to automate QA, analytics and reporting. YOU HAVE - 2+ years of experience in technical or analytical roles such as software engineering, data, analytics, or technical product. We are also open to people who come out of non technical jobs that have a coding background or degree. - A technical degree in Computer Science, Engineering, Data Science, or similar and/or hands-on experience with coding (Python, SQL, or similar). - Strong coding skills (Python, TypeScript/Node, Java or equivalent) and practical experience with unit tests, CI, version control, and basic infra. - Strong analytical and data driven problem solver, with a first principles approach to scaling and operational challenges. - Exceptional communication and stakeholder management skills, able to work closely with technical teams and customers while juggling multiple high priority projects. - Entrepreneurial, high ownership mindset, with a high degree of agency, comfort with ambiguity, and pride in end to end outcomes. - Fast learner with deep curiosity about AI, able to quickly pick up complex and technical concepts and stay up to date on LLMs and AI trends. You don’t need to be a full-time engineer in this role, but you should be technical enough to reason deeply about systems, data quality, and tradeoffs, and to earn credibility with technical stakeholders. WE OFFER Handshake delivers benefits that help you feel supported—and thrive at work and in life. The below benefits are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend 📚 Growth: $2,000 learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers http://joinhandshake.com/careers.
Staff Software Engineer, Consumer Experience
ABOUT HANDSHAKE Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. ABOUT THE ROLE As a Staff Software Engineer on the Consumer Experience team, you'll build the products that connect millions of students with employers. You'll drive meaningful technical initiatives, shape the technical direction of the team, and deliver high-quality, scalable solutions that directly impact one of the fastest-growing career platforms in the world. YOUR ROLE - Lead the design and development of consumer-facing features that enhance user engagement and streamline the student-employer connection process - Architect and scale distributed systems to support millions of users, ensuring high availability and performance - Influence technical direction by collaborating with cross-functional teams to align engineering efforts with business goals - Mentor and elevate engineers across the team, fostering a culture of growth and technical excellence - Champion engineering best practices that raise the bar on product quality and team efficiency DESIRED CAPABILITIES - 8+ years of software engineering experience with a proven track record of owning and delivering large-scale, complex systems - Demonstrated experience operating at a staff-level scope, influencing technical direction across multiple teams - Expertise in building and scaling distributed systems, preferably within consumer platforms or social products - Strong proficiency in Go, Python, or JavaScript with a focus on maintainable, high-quality production systems - Solid understanding of cloud platforms (AWS, Azure, or GCP) and modern system design principles - Exceptional communication skills with the ability to articulate complex technical concepts to diverse audiences - Experience mentoring senior engineers and elevating engineering culture EXTRA CREDIT - Background in search, recommendations, ranking systems, or personalization at scale - Experience with user identity knowledge graphs, including entity resolution and real-time inference - Experience building AI-powered systems, including LLM-based applications - Prior experience in high-growth or rapidly scaling environments PERKS Handshake delivers benefits that help you feel supported—and thrive at work and in life. The below benefits are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, and vision, mental health support, wellness stipend 📚 Growth: Learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers http://joinhandshake.com/careers.
Senior Software Engineer, Enterprise AI
ABOUT HANDSHAKE Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. ABOUT THE ROLE As a Software Engineer on the Handshake AI Enterprise team, you'll own the product experience layer of AI applications we deploy directly into enterprise customer environments. You'll work closely with customers to deeply understand their workflows, translate ambiguous needs into crisp product decisions, and build end-to-end solutions that are genuinely delightful to use, not just functional. This is not a role for engineers who treat product quality as an afterthought. We believe engineering craft is a meaningful part of what makes AI applications succeed in enterprise environments, and you'll be the person who holds that bar across every deployment. We're looking for engineers across a range of experience — people who've already built high-craft product experiences, and those ready to set the bar for a team from the ground up. This is a unique opportunity to pair direct customer impact with founding-team ownership, helping define what high-craft enterprise AI product looks like from the ground up. Location: San Francisco, CA | 5 days/week in-office What You'll Do - Own the product experience of AI applications deployed into enterprise customer environments, from initial discovery through iteration - Work directly with customers to understand their workflows, pain points, and what "great" looks like in their context - Translate ambiguous customer needs into clear, well-crafted product and technical decisions - Build high-quality, full-stack features, from data models and APIs to the interfaces people actually use - Collaborate closely with Applied AI and Platform engineers on your deployment team to ship cohesive, production-grade solutions - Iterate rapidly based on real usage and customer feedback, with tight feedback loops - Establish product engineering standards and reusable patterns that help the team scale quality as we grow - Surface insights from customer deployments that inform Handshake's core product direction What We're Looking For - 5-6+ years of engineering experience, full-stack with strong backend depth - Product engineering experience with strong fullstack instincts and a high bar for product quality - Experience at a company where craft was a genuine priority, you've helped hold that bar, not just ship features - Proficiency across the stack: comfortable with modern backend frameworks, APIs, and data modeling, as well as React/TypeScript on the frontend - Strong opinions about product experience, you notice when things feel off and you fix them, regardless of which layer the problem lives in - Ability to make pragmatic technical decisions that serve the product, not just the architecture - Comfort working in ambiguous, fast-moving environments with real customers and real stakes - Strong communication skills, you'll be in customer conversations regularly and need to translate between business needs and technical decisions Extra Credit - Experience building or integrating AI-powered features in production, customer-facing products - Background working in or alongside enterprise deployment environments - History of close collaboration with designers, or a background in design yourself - Experience at a company with a forward-deployed or embedded engineering model PERKS Handshake delivers benefits that help you feel supported—and thrive at work and in life. The below benefits are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend 📚 Growth: $2,000 learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers http://joinhandshake.com/careers.
Senior Software Engineer, Consumer Experience
ABOUT HANDSHAKE Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. ABOUT THE ROLE As a Senior Software Engineer on the Consumer Experience team, you'll build the products that connect millions of students with employers. You'll drive meaningful technical initiatives, shape the technical direction of the team, and deliver high-quality, scalable solutions that directly impact one of the fastest-growing career platforms in the world. This job is 5 days a week onsite in our San Francisco, CA office. YOUR ROLE - Lead the design and development of consumer-facing features that enhance user engagement and streamline the student-employer connection process - Architect and scale distributed systems to support millions of users, ensuring high availability and performance - Influence technical direction by collaborating with cross-functional teams to align engineering efforts with business goals - Mentor and elevate engineers across the team, fostering a culture of growth and technical excellence - Champion engineering best practices that raise the bar on product quality and team efficiency DESIRED CAPABILITIES - 8+ years of software engineering experience with a proven track record of owning and delivering large-scale, complex systems - Demonstrated experience operating at a staff-level scope, influencing technical direction across multiple teams - Expertise in building and scaling distributed systems, preferably within consumer platforms or social products - Strong proficiency in Go, Python, or JavaScript with a focus on maintainable, high-quality production systems - Solid understanding of cloud platforms (AWS, Azure, or GCP) and modern system design principles - Exceptional communication skills with the ability to articulate complex technical concepts to diverse audiences - Experience mentoring senior engineers and elevating engineering culture EXTRA CREDIT - Background in search, recommendations, ranking systems, or personalization at scale - Experience with user identity knowledge graphs, including entity resolution and real-time inference - Experience building AI-powered systems, including LLM-based applications - Prior experience in high-growth or rapidly scaling environments PERKS Handshake delivers benefits that help you feel supported—and thrive at work and in life. The below benefits are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, and vision, mental health support, wellness stipend 📚 Growth: Learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers http://joinhandshake.com/careers.
Senior Software Engineer, Annotations
ABOUT HANDSHAKE Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. THE ROLE We’re looking for a Senior Software Engineer to join our Annotations team and build the systems that power high-quality human data for frontier AI companies. You’ll work at the intersection of product engineering, distributed systems, and AI data operations—designing tools that help operators manage annotation projects, improve task quality, and scale expert workflows. This is a high-ownership role in a fast-moving environment. You’ll partner closely with product, design, data, operations, and engineering teams to turn ambiguous problems into reliable, intuitive software used across the annotation lifecycle. WHAT YOU’LL DO - Build and scale operator tooling that enables teams to create, manage, prioritize, and audit annotation projects. - Design workflows and quality-control systems that improve task accuracy, throughput, and customer outcomes. - Develop performant full-stack features using Python, Node.js/TypeScript, React, PostgreSQL, and backend APIs. - Establish technical direction for complex projects, balancing speed, maintainability, reliability, and operational needs. - Partner with product, design, operations, and data teams to define requirements and ship impactful solutions. - Lead projects from initial concept through high-quality production delivery, including rollout, monitoring, and iteration. - Mentor engineers, raise the quality of code reviews and architecture discussions, and help unblock the team. - Improve engineering processes, testing practices, observability, and operational health across the squad. YOU HAVE - 6+ years of software engineering experience building and operating production systems. - Strong proficiency in Python, Node.js, Typescript, React, PostgreSQL, and backend APIs. - Experience designing scalable, reliable software and making sound architectural tradeoffs. - A track record of owning complex projects from ambiguity through delivery. - Strong product judgment and an ability to connect technical decisions to customer and business outcomes. - Excellent communication skills and the ability to work effectively with technical and non-technical partners. - A quality mindset: you write maintainable code, test thoughtfully, debug deeply, and address root causes. - A collaborative leadership style, including experience mentoring engineers and elevating team practices. - Comfort working in a high-velocity environment where priorities and requirements evolve quickly. BONUS POINTS - Experience building workflow, marketplace, operations, or internal-platform software. - Familiarity with AI/ML data pipelines, annotation systems, evaluation workflows, or human-in-the-loop products. - Experience working with distributed teams, expert networks, or high-volume operational processes. - Contributions to open source or a strong record of self-directed technical projects. WE OFFER Handshake delivers benefits that help you feel supported and thrive at work and in life. Benefits for full-time US employees include: - Equity in a fast-growing company - 401(k) match, competitive compensation, and financial coaching - Medical, dental, and vision coverage - Mental health support and a $500 wellness stipend - Paid parental leave, fertility benefits, and parental coaching - $2,000 annual learning stipend - Flexible PTO, 15 holidays, and 2 flex days - Internet, commuting support, and free lunch and gym access in our San Francisco office - Team outings and referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers http://joinhandshake.com/careers. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue
Senior Frontend Engineer, Enterprise AI
ABOUT HANDSHAKE Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. ABOUT THE ROLE Handshake AI Enterprise is a new business unit building AI-powered applications for the world's largest companies. We deploy small, expert teams directly into enterprise environments — deeply learning each customer's business, defining where AI can drive real impact, and building and iterating on agents that automate their most critical workflows. We're not a consulting firm and we're not selling software. We're building and deploying AI that measurably changes how enterprises operate. We're looking for a Senior Frontend Engineer who wants to architect the foundation — not just build on top of it. As our first senior frontend hire, you'll define how we build UI across the entire team. That means establishing the component system, design language, and engineering patterns that every engineer who comes after you will rely on. You'll set the technical bar, make the foundational decisions, and build in a way that scales — so others can move fast without sacrificing quality. This is a rare opportunity to own the frontend architecture of a new product from zero, at a company with the data, lab relationships, and momentum to win. Location: San Francisco, CA | 5 days/week in-office - Architect the frontend foundation for Handshake AI Enterprise — component system, design tokens, patterns, and engineering conventions that the whole team builds on - Make foundational technology decisions: framework choices, state management, rendering strategy, performance budgets - Build shared libraries and abstractions that let other engineers move fast without reinventing the wheel or sacrificing quality - Establish code standards, review practices, and documentation that scale as the team grows - Collaborate closely with Applied AI and Platform engineers to define clean API contracts and integration patterns - Ship production-grade UI for enterprise customer deployments alongside building the foundation - Evolve the architecture over time as the team, product, and customer base scales DESIRED CAPABILITIES - 5–6+ years of frontend engineering experience with a strong architectural track record - Deep expertise in ReactJS and TypeScript — you understand the tradeoffs, not just the syntax - Proven experience building and maintaining shared component libraries or design systems used by other engineers - Strong opinions on frontend architecture — state management, rendering patterns, performance, accessibility — and the ability to defend and evolve them - Experience making technology decisions that others depend on, with an eye toward long-term maintainability - Comfort working in ambiguous, fast-moving environments where the right answer isn't always obvious - Strong communication skills — you'll need to align engineers, product, and design on how things get built EXTRA CREDIT - Experience building frontend architecture for AI-powered or data-intensive applications - Background at a company known for high craft — you've seen what a great design system looks like from the inside - History of writing technical documentation or guides that helped other engineers ramp quickly - Experience with performance optimization, accessibility standards, or cross-platform rendering at scale - Familiarity with enterprise deployment environments or security constraints PERKS Handshake delivers benefits that help you feel supported—and thrive at work and in life. The below benefits are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend 📚 Growth: $2,000 learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers http://joinhandshake.com/careers.
Senior Forward Deployed Engineer
ABOUT HANDSHAKE Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. ABOUT THE ROLE We're hiring a Senior Forward Deployed Engineer to work directly with frontier AI labs to solve their most complex engineering challenges. As a Senior Forward Deployed Engineer, you'll own the end-to-end lifecycle of customer deployments—from understanding technical requirements to architecting, building, and scaling production systems that improve customer workflows and model performance. You'll operate across the stack, partnering closely with Engineering, Research, Product, and Operations teams in both India and the US to deliver solutions for our most strategic customers. This is a unique opportunity to combine deep software engineering with customer partnership, helping shape how Handshake AI delivers solutions to the world's leading AI labs. Location: Bengaluru, India. This is an in-office role. WHAT YOU'LL DO - Partner directly with frontier AI labs to understand complex technical challenges and translate them into scalable engineering solutions - Partner closely with Engineering, Research, Product, and Operations teams in the US to execute against a shared roadmap - Design, build, and deploy production-grade applications that solve high-impact customer problems - Own technical architecture for customer deployments with a focus on reliability, scalability, security, and maintainability - Rapidly prototype, test, and iterate on solutions based on customer feedback - Build reusable tools, frameworks, and deployment patterns that improve delivery across customer engagements - Mentor engineers through technical leadership, code reviews, and engineering best practices - Help establish a strong engineering culture as we continue building our India engineering organization WHAT WE'RE LOOKING FOR - 6+ years of professional software engineering experience - Experience leading technically complex customer-facing, solutions engineering, or forward deployed engineering projects - Strong proficiency with TypeScript, React, and modern backend architectures - Deep understanding of relational databases (e.g., PostgreSQL), system design, distributed systems, and cloud infrastructure - Experience building and operating production systems on AWS or GCP - Strong technical judgment and the ability to solve complex engineering problems in fast-moving, ambiguous environments - Excellent communication and stakeholder management skills - Experience collaborating effectively with globally distributed engineering teams, including teams based in the US NICE TO HAVE - Experience building AI-powered products, LLM infrastructure, or machine learning platforms - Experience working directly with enterprise customers or strategic technical partners - Familiarity with Docker, Kubernetes, and CI/CD pipelines - Experience supporting applied AI or ML research teams - Experience working in a fast-growing startup or high-growth engineering organization WHAT SUCCESS LOOKS LIKE - Customer deployments launch successfully and deliver measurable value - Technical solutions become reusable across multiple customer engagements - Deployments are reliable, scalable, and easy to maintain - Customer feedback directly informs platform improvements and future product capabilities - You become a trusted technical partner across customers and engineering teams in both India and the US YOU’LL THRIVE HERE IF YOU: - Are motivated by solving operational problems that have direct, measurable impact. - Want to be part of a company shaping the future of AI through human data. - Can navigate ambiguity, act with urgency, and keep multiple workstreams moving in parallel. Perks: - Generous Equity Grant vested over 4 years - Housing Bonus: 1.3 Lakhs spread throughout the first year - Well Defined Performance Bonus ranging between 10 - 100% of base - Medical Insurance Coverage - Food credit for every in person day.
Senior Director - AI Commercial Counsel
ABOUT HANDSHAKE Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue ABOUT HANDSHAKE AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. ABOUT THE TEAM Handshake's Legal team is a strategic partner to the business, helping Handshake move quickly, make sound decisions, and build trusted products and services. We're a lean, collaborative team solving novel questions at the intersection of frontier technology and the workforce. As the senior commercial lawyer dedicated to Handshake AI and Handshake AI Enterprise, you'll help turn ambitious opportunities into durable commercial relationships with leading AI labs and enterprise customers. You'll join a team that values commercial judgment, intellectual curiosity, urgency, and a deep commitment to Handshake's mission of democratizing access to opportunity. YOUR IMPACT Reporting to the General Counsel, you'll define and lead the commercial legal strategy for Handshake AI and Handshake AI Enterprise, with a focus on our most strategic frontier lab and enterprise customers. You'll serve as lead lawyer, strategic advisor, and deal quarterback on high-value, bespoke transactions. - Strategic commercial transactions: Own the legal strategy and negotiation of Handshake AI's most important customer and partner transactions, including AI data and training agreements, enterprise AI services, and strategic partnerships. - Bespoke deal structuring: Create novel commercial structures for complex opportunities where market standards are still developing—translating product, operational, and economic objectives into durable agreements and clear allocations of risk. - Data, IP, privacy, and security: Lead negotiations and provide practical advice on data rights, model-training and output rights, IP ownership and licensing, privacy, and security, with a deep understanding of how those terms affect Handshake's products and delivery model. - Customer and executive engagement: Represent Handshake directly with sophisticated customer legal teams and senior stakeholders, lead high-stakes negotiations, brief executives on material issues, and drive decisions that keep strategic deals moving. - Cross-functional partnership: Partner closely with Sales, Partnerships, Product, and Operations throughout the deal lifecycle—from opportunity shaping and term-sheet strategy through negotiation, signature, implementation, renewal, and expansion. - Commercial function leadership: Build the templates, playbooks, approval frameworks, deal-desk practices, and contracting workflows needed to improve deal velocity and risk calibration; establish the commercial legal function and build the team as the business grows. YOU HAVE - JD and active membership in good standing in at least one U.S. state bar (California admission or eligibility to register as in-house counsel in California) - 10+ years of combined legal experience, including law firm training and in-house experience at a sophisticated technology company - A track record of structuring, negotiating, and closing complex, high-value commercial transactions with enterprise customers - Deep experience with enterprise technology and data licensing, including data-use rights, IP, privacy, and security terms - Exceptional commercial instinct and judgment, with the ability to identify what matters and calibrate risk to business objectives - Executive presence and comfort with ambiguity, with the communication skills to earn trust with fast-moving internal teams and senior stakeholders BONUS POINTS - Experience with AI data or training agreements, enterprise AI services, or transactions with frontier AI labs; AI experience is useful but not required - Prior experience as the first or senior commercial lawyer for a high-growth business, including building scalable contracting processes WE OFFER Handshake delivers benefits that help you feel supported and thrive at work and in life. The below benefits are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend 📚 Growth: $2,000 learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers http://joinhandshake.com/careers.
Manager, Strategic Projects
ABOUT HANDSHAKE Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. ABOUT THE ROLE As Manager, Strategic Projects, you will lead an SPL team that sits at the center of our most critical AI data and evaluation work. This is a high intensity, high visibility role where you own delivery, quality, and scalability across some of our most important customer and lab programs. You will manage a team of SPLs across multiple high stakes AI data projects, set the standard for operational excellence, and act as the connective tissue between customers, researchers, procurement partners, Operations leadership, and Product and Engineering. You are comfortable in environments with high pressure and fast change, and you know how to keep teams aligned, motivated, and executing at a very high bar. You will be responsible for: - Leading and managing a team of SPLs across multiple complex AI data and evaluation projects, ensuring clarity of ownership, priorities, and execution. - Driving on time, high quality delivery across custom data pipelines and expert labeling workflows, with a sharp focus on throughput, quality, and cost. - Translating researcher and customer needs into clear project plans, scopes, and operational workflows that SPLs and Fellows can execute. - Owning performance metrics across your portfolio, including quality, throughput, SLAs, utilization, and margin, and using data to drive continuous improvement. - Ensuring a top tier experience for Handshake Fellows, enabling them to produce high quality, scalable data while feeling supported and informed. - Partnering with Product and Engineering to evolve internal tooling, workflows, and systems that unlock step function gains in efficiency and quality. What success looks like in the first 6 to 12 months: - Your SPL team consistently delivers on or ahead of commitments for our most important AI data and evaluation programs, with clear, referenceable wins. - Key operational metrics across your portfolio improve materially, such as quality, on time delivery, throughput, and margin. - SPLs see you as a trusted and supportive leader who raises the bar on performance while providing clear direction and coaching. - Product, Engineering, and Engagement teams proactively involve you in planning and scoping for new programs because they trust your judgment and operational instincts. You will work closely with: - Strategic Project Leads (SPLs) to set priorities, unblock delivery, coach performance, and build strong operational habits. - Operations leadership on resourcing, staffing models, and long term capacity planning. - Researchers, procurement partners, and Engagement Managers to translate research and business goals into executable project plans. - Product and Engineering on internal tools, data pipelines, and systems that make SPLs and Fellows significantly more effective. WHAT YOU WILL BRING Experience: - 5+ years in operationally intensive roles such as marketplace operations, data operations, strategy and operations. - 2+ years managing high performing teams in fast paced, execution focused environments. - Prior experience in investment banking, private equity or management consulting strongly preferred. - Experience leading complex, multi stakeholder projects from definition through delivery, ideally with AI, data, or technical workflows. - Background in AI data operations, ML ops, or technical services is a strong plus. This role works well for people who: - Want to own a critical piece of the Handshake AI delivery engine and be directly accountable for team performance and outcomes - Enjoy leading and coaching high performing operators, setting a clear bar, and giving direct feedback - Can move between high level systems thinking (process design, staffing, metrics) and detailed execution reviews with SPLs - Are comfortable in high intensity environments where priorities shift quickly and customer or lab needs can change week to week It is not a good fit if you want narrow individual contributor scope, highly predictable days, or heavy top down structure. There will be sustained periods of high intensity, including early, late, and weekend work when programs or launches are at critical inflection points. You will often be the person responsible for getting projects back on track. People in this role often come from: - Operations or strategy and operations leadership roles at early stage or high growth startups - Marketplace, data, or technical services companies where they managed teams and owned delivery metrics - Management consulting or investment banking backgrounds that moved into hands on operational leadership - Team lead or manager roles in AI data operations or other scaled, process heavy environments Prior experience in AI is helpful but not required; strong operational leadership and systems thinking matter more. BENEFITS & PERKS Handshake delivers benefits that help you feel supported—and thrive at work and in life. The below benefits are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend 📚 Growth: $2,000 learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers http://joinhandshake.com/careers.
Staff Software Engineer - AI Compute Libraries & P...
Senior: PLN 260,400 - 352,200 Staff: PLN 350,700 - 474,400 Subject to alignment to the responsibilities and duties of the role - we currently have multiple positions available at both Senior and Staff level. Location: Gdańsk. This role is not available as fully remote. About the job Build the AI compute libraries that turn next-generation hardware into real performance. As a Staff Software Engineer, you will design and optimise high-performance compute kernels for AI workloads. You will work across linear algebra, tensor operations, numerical correctness and low-level performance. Your work will help customers get more from advanced AI hardware. That means shaping the libraries behind faster, more reliable AI systems at scale. You will write C++ and Python, profile on Linux and make hard trade-offs across memory, threading and numerical behaviour. You will also guide technical direction, review designs and help engineers make better decisions. This role suits someone who wants deep technical ownership without moving away from hands-on engineering. The team and culture You will join the ML Kernels & Runtime team, which builds the compute libraries that expose hardware performance to customers. The work is technical, detailed and close to the machine. Engineers own problems from design through validation, benchmarking and production quality. Decisions are made through evidence, clear technical reasoning and open debate. You will move quickly, speak up when something can be better and help others raise the quality of their work. Leadership here means taking responsibility for outcomes, not waiting for permission. What we’re looking for - Excellent C++ and Python skills, with experience building performance-sensitive software - Strong understanding of processor architectures, Linux profiling and low-level optimisation - Proven technical leadership, including guiding engineering direction, reviewing designs and mentoring others - Ability to balance hands-on implementation with broader ownership and team impact - Experience with numerical correctness, benchmarking, regression testing or validation - Clear communication, strong judgement and the confidence to challenge ideas constructively While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how your background makes you a strong candidate. Benefits - Flexible working: Balance your work and personal life with greater flexibility - Comprehensive healthcare and dental cover: Premium medical and dental insurance, with the option to extend cover to your family - Phantom equity: Share in Graphcore’s success - Fitness and wellbeing support: A fully funded Medicover gym card, giving you access to a wide range of gyms, fitness classes and leisure centres - Financial protection: Death and disability insurance, providing financial security for you and your loved ones - Retirement savings: Build your financial future, with a 4% employer contribution from Graphcore, alongside your own contributions - Employee Assistance Programme (EAP): Confidential advice and support for you and your family across a range of personal, financial and wellbeing matters We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Sponsorship Applicants must have the legal right to work in Poland. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. Join the Team at Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. If you want to shape the performance foundations of next-generation AI compute, we’d love to hear from you. Apply now to be part of the journey.
Staff Software Engineer
Salary Range: PLN 350,000 - 474,000 PLN Subject to alignment to the responsibilities and duties of the role About the job As a Staff Software Engineer in the Collectives Team, you’ll drive the design and development of the Collectives Communication Library. The library provides communication primitives optimised for high bandwidth and low latency at very high scale. You’ll lead development of the library for new AI hardware accelerators, working across design, implementation, testing and documentation. You’ll collaborate with other teams to develop new features, troubleshoot complex technical issues and integrate new hardware with the existing AI ecosystem. You’ll also mentor engineers and help drive technical excellence across the team. The team and culture We value face-to-face interaction and make time to meet in the office frequently. The team works in two-week sprints, with three stand-ups each week, fortnightly sprint planning and a weekly team meeting. Work is planned with input from the Technical Product Manager, covering both longer-term priorities and upcoming sprints. Engineers typically work in small groups on larger tasks or components, coordinating the work among themselves. The team has a high level of technical expertise, with opportunities to attend thematic conferences and team outings roughly once a quarter. What we're looking for - Extensive experience developing software in C++, with experience using Python and C - Strong problem-solving skills and the ability to debug and resolve complex technical issues - Strong understanding of multithreading and inter-process communication for efficient concurrent applications - Experience with unit testing frameworks such as Boost.Test and Google Test - Proficiency with build tools including CMake, Make and Ninja, plus strong understanding of Git or similar version control systems - Strong communication skills and experience working effectively with multinational teams and customers While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how your background makes you a strong candidate. Desirable experience - RDMA networking libraries such as libibverbs or libfabric - Parallel algorithms and optimisation for AI/ML and HPC systems - Continuous Integration/Continuous Delivery pipelines, including GitHub Actions or GitLab CI - Communication libraries such as NCCL or MPI - Machine learning frameworks such as PyTorch - Modern C++ standards, including C++17 and C++20 Benefits - Flexible working: Balance your work and personal life with greater flexibility - Comprehensive healthcare and dental cover: Premium medical and dental insurance, with the option to extend cover to your family - Phantom equity: Share in Graphcore’s success - Fitness and wellbeing support: A fully funded Medicover gym card, giving you access to a wide range of gyms, fitness classes and leisure centres - Financial protection: Death and disability insurance, providing financial security for you and your loved ones - Retirement savings: Build your financial future, with a 4% employer contribution from Graphcore, alongside your own contributions - Employee Assistance Programme (EAP): Confidential advice and support for you and your family across a range of personal, financial and wellbeing matters We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Sponsorship Applicants must have the legal right to work in Poland. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. Join the Team at Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. Ready to work on challenging problems at the intersection of software and AI hardware? Apply now and join Graphcore.
Staff Robotics Engineer
About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to the Director of Automation, the Staff Robotics Engineer will provide technical leadership for the design, integration, validation, and deployment of robotic automation systems for data center operations. This role will work closely with internal Graphcore teams, SoftBank Robotics, SoftBank Group affiliates, and external technology partners to turn R&D concepts into scalable, production-ready robotic capabilities. Example systems may include robotic manipulation, material transport, inspection, rack/server handling, autonomous mobile robots, or other automation solutions for data center operations. This role is based in Austin and may require periodic travel to partner, manufacturing, lab, or deployment sites, including occasional collaboration across APAC time zones. The Team The automation team is responsible for helping the vision of Softbank Group to automate data center, working with internal Graphcore teams and Softbank Group affiliates. The team works closely with Softbank Robotics and its partners and other third parties to solve complex solutions for data center operations. Our focus is on delivering robust, production-quality systems that bridge cutting-edge research and real-world deployment. Responsibilities and Duties - This role is expected to operate with high autonomy, define technical direction for ambiguous robotics automation problems, influence partner roadmaps, and establish engineering standards for scalable deployment. - Align robotics, data center, internal engineering, SoftBank Group, and third-party partner teams to provide scalable autonomy capabilities. - Guide and mentor Softbank Group engineers and third-party partners without direct people management responsibilities, elevating technical judgment and Mechatronics best practices. - Contribute to technical planning, estimation and delivery of key project milestones. - Experience establishing or executing verification and validation processes, including simulation, hardware-in-the-loop testing, FAT/SAT, site validation, or field deployment. - Support troubleshooting and root-cause analysis across software, controls, mechanical, and electrical systems. - Iterate on end effectors, hardware interfaces, and robotic subsystems with partners. - Help build scalable software infrastructure, device management systems, and fleet coordination protocols by collaborating with Softbank Group affiliates and third-party partners. - Lead the transition of R&D feasibility studies into production-ready integrated systems. - Evaluate emerging technologies, tools and methodologies to improve robotics capabilities and engineering productivity. - Produce clear technical documentation and communicate engineering decisions effectively to a range of stakeholders. Candidate Profile Essential - Experience in automation or equipment engineering, with a focus on mechatronic subsystems and modular machine design. - Experience taking robotic or automated systems from prototype/R&D into production or field deployment. - Experience with material handling systems, automated equipment, or productionized robotic solutions. - Familiarity with 3D localization or VLM-based object detection (e.g., perception/ segmentation). - Experience conducting FAT/SAT validation and managing technical deliverables with partners and manufacturers. - Proven ability to debug the "full-stack": PLC logic, high-level code (C# or Python), and complex mechanical/electrical hardware. - Experience with robotics frameworks and middleware such as ROS/ROS 2 and IsaacSIM for modeling robotic interactions and path planning. - Strong understanding of robotics fundamentals including perception, localization, mapping, planning or control. - Ability to lead technical initiatives and influence engineering direction through expertise and collaboration. - Excellent problem-solving and analytical skills. - Strong communication skills with the ability to work effectively across multidisciplinary teams. - Degree in Mechatronics, Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, Mathematics, or a related technical field, or equivalent practical experience. Desirable - Experience applying machine learning or AI techniques within robotics systems. - Experience with simulation environments and digital twin technologies. - Knowledge of computer vision, sensor fusion or reinforcement learning techniques. - Experience deploying robotics applications to cloud, edge or embedded environments. - Familiarity with GPU acceleration, high-performance computing or AI infrastructure. - Experience contributing to open-source robotics projects or technical communities. - Experience working in research-intensive or advanced technology environments. Benefits In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Staff Data Analyst
About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of a family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. We bring together specialists across AI research, silicon design, software engineering and systems to solve complex problems and deliver meaningful impact. Job Summary Initially reporting to the Head of Data & Transformation, you will help business teams improve how they work and make decisions through process change, data analytics and AI-assisted and agentic workflows. Working closely with the Data Enablement Lead, you will independently lead complex, agreed initiatives from discovery and process mapping through requirements definition, hands-on analysis, prototyping, implementation and adoption. You will help teams find and use trusted data, embed analytics and agentic workflows into everyday activities, and achieve measurable improvements in business outcomes. The Team The Data & Transformation team brings together data capability and business transformation to improve how Graphcore operates and makes decisions. The team builds trusted data foundations, enables effective access to information and delivers cross-functional change to business processes, systems and ways of working. You will partner directly with business teams, the Data Enablement Lead, Analytics Engineers and Project Managers. The Data Enablement Lead owns the overall data enablement approach, opportunity pipeline and shared solution standards. You will own end-to-end delivery of agreed initiatives within those approaches and standards, contributing new opportunities and improvements through practical delivery experience. Responsibilities and Duties - Lead business discovery and identify opportunities. Facilitate workshops to understand business objectives, information needs, current ways of working and underlying problems. Identify recurring needs and bring evidence-based opportunities to the Data Enablement Lead, considering business value, feasibility, risk and potential for reuse across teams. - Map and improve processes. Document current-state and future-state processes, including activities, decisions, ownership, handovers, controls, systems and data flows. Identify opportunities to simplify workflows, reduce manual effort and improve the quality and timeliness of decisions. - Own requirements definition. Translate business needs into clear, prioritised requirements, business rules, user stories and acceptance criteria. Build agreement with stakeholders and maintain traceability between the original need, proposed changes, delivered functionality and intended outcomes. - Deliver hands-on analytics. Use SQL to explore organisational and warehouse data, test hypotheses, investigate discrepancies and identify patterns or causes of operational problems. Build and validate repeatable analyses, reports, dashboards and measures that support business decisions, communicating findings and data limitations clearly. - Enable agentic self-service data use. Work with the Data Enablement Lead and Analytics Engineers to translate business questions and process needs into practical self-service data experiences. Help users discover data, ask questions, interpret trusted metrics and act on results. Validate that analytical and agentic interactions use agreed business definitions and meet user needs. - Recommend practical solution approaches. Assess whether a need is best addressed through process changes, self-service analytics, existing tools, conventional automation or agentic workflows. Work with the Data Enablement Lead and technical colleagues to balance business value, usability, complexity, risk, implementation effort and ongoing support. - Design agentic workflows. Map how users, agents, systems and data should interact, using agreed solution patterns and access controls. Define business rules, proposed agent actions, human approval points, exception handling and fallback processes. Work with the Data Enablement Lead and technical colleagues on decisions affecting shared architecture or controls. - Prototype, evaluate and validate solutions. Use AI-assisted development tools to develop and iterate analytical and agentic workflow prototypes, reviewing generated code and outputs against agreed quality standards. Work with technical colleagues to test realistic business scenarios, outputs, actions and failure cases. Coordinate user acceptance testing and validate solutions against agreed requirements. - Use trusted data and appropriate controls. Partner with Analytics Engineers to define data requirements, clarify metric definitions and resolve data-quality issues. Apply agreed expectations for data access, sensitive information handling, documentation and traceability of automated actions. - Own delivery of agreed initiatives. Develop practical delivery plans, coordinate business and technical contributions, and manage scope, priorities, dependencies and risks. Make evidence-based decisions within your remit, working with your line manager and the Data Enablement Lead to resolve wider prioritisation or design decisions. - Support implementation and adoption. Help business teams introduce new processes and incorporate analytics and agentic workflows into daily activities. Clarify ownership, provide guidance and training, support operational handover and help users understand appropriate use, limitations and escalation routes. - Measure outcomes and improve reliability. Agree success measures and establish baselines with business stakeholders. Review adoption, analytical accuracy, workflow reliability and business outcomes after implementation. Use evidence and user feedback to improve solutions and address unintended results. - Strengthen shared capability. Contribute reusable analytical methods, process-mapping approaches, workflow patterns and testing practices. Provide constructive peer review, coaching and practical guidance to help colleagues and business users develop their skills and confidence. Candidate Profile Essential - Demonstrated experience combining hands-on data analysis with business process improvement, taking complex initiatives from problem definition through delivery, implementation and adoption. - Strong SQL skills, including the ability to explore analytical or warehouse data, investigate discrepancies, validate assumptions and assess data quality. - Strong business analysis skills, including stakeholder discovery, current-state and future-state process mapping, requirements definition, business rules and acceptance criteria. - Hands-on experience prototyping or evaluating AI-assisted or agentic workflows using business data, including testing outputs and actions, identifying failure cases and defining appropriate human oversight. - Experience using AI-assisted development tools for prototyping, analysis or technical problem-solving, with the ability to critically review generated code and outputs. - Experience using business intelligence or data visualisation tools to develop practical analyses, reports or dashboards, supported by clearly defined and reliable measures. - Strong analytical judgement and problem-solving skills, including the ability to identify underlying causes, evaluate solution options and recognise when a simpler approach is more appropriate. - Strong facilitation, communication and influencing skills, including the ability to lead workshops, explain complex concepts to non-technical audiences and build agreement without relying on formal authority. - Ability to independently plan and lead complex work, coordinate contributions across business and technical teams, manage competing priorities and make pragmatic delivery decisions. - Experience testing and validating solutions, documenting changes and supporting users through implementation and adoption, with an understanding of appropriate data access and sensitive information handling. Desirable - Experience implementing and supporting agentic workflows in production, including monitoring reliability, managing exceptions and supporting user adoption. - Experience using Python or comparable tools for repeatable analysis, workflow prototyping or lightweight automation. - Familiarity with APIs, curated datasets, semantic-layer concepts and analytics engineering practices. - Experience enabling self-service analytics or applying structured process improvement and change management methods. - Experience working in a technology, engineering or fast-moving product environment. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
Software Engineer
Salary Range: PLN 196,000 - 265,000 Subject to alignment to the responsibilities and duties of the role About the job As a Software Engineer in the Collectives Team, you’ll help develop the Collectives Communication Library for new AI hardware accelerators. The library enables users to utilise large computing clusters, making communication an important part of running workloads at scale. You’ll implement, test and document library features, working with other teams to design and test new functionality. You’ll also troubleshoot complex technical issues and help integrate new hardware with the existing AI ecosystem. The team and culture We value face-to-face interaction and make time to meet in the office frequently. The team works in two-week sprints, with three stand-ups each week, fortnightly sprint planning and a weekly team meeting. Work is planned with input from the Technical Product Manager, covering both longer-term priorities and upcoming sprints. Engineers typically work in small groups on larger tasks or components, coordinating the work among themselves. The team has a high level of technical expertise, with opportunities to attend thematic conferences and team outings roughly once a quarter. What we're looking for - Experience developing software in C++, with experience using Python and C - Good problem-solving skills and the ability to debug and resolve complex technical issues - Experience with unit testing frameworks such as Boost.Test and Google Test - Experience with build tools including CMake, Make and Ninja - Strong understanding of version control systems, preferably Git - Knowledge of multithreading, parallel computing and inter-process communication for efficient concurrent applications While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how your background makes you a strong candidate. Desirable experience - RDMA networking libraries such as libibverbs or libfabric - Parallel algorithms and optimisation for AI/ML and HPC systems - Continuous Integration/Continuous Delivery pipelines, including GitHub Actions or GitLab CI - Communication libraries such as NCCL or MPI - Machine learning frameworks such as PyTorch - Modern C++ standards, including C++17 and C++20 Benefits - Flexible working: Balance your work and personal life with greater flexibility - Comprehensive healthcare and dental cover: Premium medical and dental insurance, with the option to extend cover to your family - Phantom equity: Share in Graphcore’s success - Fitness and wellbeing support: A fully funded Medicover gym card, giving you access to a wide range of gyms, fitness classes and leisure centres - Financial protection: Death and disability insurance, providing financial security for you and your loved ones - Retirement savings: Build your financial future, with a 4% employer contribution from Graphcore, alongside your own contributions - Employee Assistance Programme (EAP): Confidential advice and support for you and your family across a range of personal, financial and wellbeing matters We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Sponsorship Applicants must have the legal right to work in Poland. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. Join the Team at Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. Ready to work on challenging problems at the intersection of software and AI hardware? Apply now and join Graphcore.
Silicon Verification Engineer
*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-WEB:0fbc0e63-7a29-4549-b136-67f3c3174a55-0" data-turn-id-container="request-WEB:0fbc0e63-7a29-4549-b136-67f3c3174a55-0" data-testid="conversation-turn-2" data-turn="assistant"> About the job Own verification that turns complex silicon architecture into reliable AI compute hardware. As a Silicon Verification Engineer, you will help ensure Graphcore RTL matches the architecture specification. Your work will protect silicon quality before designs move into physical implementation. You will sit where architecture, logical design and verification meet. You will directly influence how issues are found, understood and resolved before they become costly. You will plan verification, define coverage, generate tests and diagnose failures. You will also improve shared infrastructure that helps engineers move faster and identify problems earlier. The work is technically deep, with clear impact on our silicon. You will help build the discipline, pace and quality needed for ambitious AI compute programs at scale. The team and culture The verification team works closely with Architecture, Logical Design and Physical Design. Clear plans, coverage goals, test results and direct technical feedback shape the work. You will take ownership, follow evidence and keep communication open across sites. The team values people who speak up early and make complex problems easier to solve. Decisions are driven by technical reasoning, shared data and practical trade-offs. You will have room to lead through your expertise, not just your title. What we're looking for - Verification experience in CPU, ASIC or closely related silicon environments - Experience with UVM, SVA, assembly, compilers, Git or DRMS tools - Ability to plan verification work and drive functional coverage to closure - Strong debugging skills across RTL, software and shared verification infrastructure - Confident in SystemVerilog and Python While we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routes. Benefits · Flexible working: Balance your work and personal life with greater flexibility · Generous leave: Take time to rest, recharge and enjoy life outside of work · Retirement planning support: Up to 5% matched pension · Phantom equity: Share in Graphcore’s success · Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day · Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones · Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice · Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover · Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Join the Team at Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. Ready to own verification work that directly shapes Graphcore silicon? Apply now to help build the future of AI compute.
Senior Manufacturing Product Engineer
*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-WEB:a419a55f-0d1b-45d2-af2c-2d0a455b61d5-3" data-turn-id-container="request-WEB:a419a55f-0d1b-45d2-af2c-2d0a455b61d5-3" data-testid="conversation-turn-8" data-turn="assistant"> About the job Own the manufacturing performance behind advanced AI compute systems in volume production. As Manufacturing Product Manager, you will connect product design, test, quality and supply chain with manufacturing execution. You will support volume production across PCB assembly and L10 system build partners in Taiwan. Your work will improve yield, quality and manufacturability across complex products. You will link manufacturing process performance to the product metrics that matter most. You will manage partner engineering relationships, resolve manufacturing issues and drive continuous improvement. You will also shape DfM feedback, production data requirements and next generation manufacturing technologies. This role suits someone who combines practical manufacturing judgement with strong data thinking. You will work close to suppliers, product teams and the decisions that shape production outcomes. The team and culture You will join the Manufacturing and Technology Process team within Operations. The team works across Bristol, Cambridge and Taiwan, close to wafer foundry, package assembly and PCBA subcontractors. Work happens through direct ownership at partner sites and clear technical engagement with internal teams. You will move quickly on production issues, using data and engineering judgement to guide action. The team values people who speak up, take responsibility and build strong supplier relationships. Decisions are grounded in evidence, product impact and the need to keep manufacturing improving. What we're looking for · Strong fault diagnosis, problem solving and failure analysis skills, including ICT to SMT debug · Thorough understanding of SMT assembly processes and lean manufacturing methodologies · Experienced in statistical analysis tools (e.g JMP, SQL, Python) · Ability to connect silicon, package and PCB interactions into clear DfM feedback · Experience using Six Sigma continuous improvement methods, including SPC and DOE · Fluent in Mandarin and strong English communication skills for cross-functional, cross-regional and supplier-facing work. While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how your background makes you a strong candidate. Benefits · Flexible working: Balance your work and personal life with greater flexibility · Generous annual leave: Take time to rest, recharge and enjoy life outside of work · Enhanced healthcare coverage: Private medical insurance alongside Taiwan's National Health Insurance scheme for added peace of mind · Phantom equity: Share in Graphcore’s success · Family healthcare options: The opportunity to extend healthcare coverage to your family members · Financial protection: Life and critical illness insurance to help safeguard you and your loved ones. · Proactive wellbeing support: An annual health assessment allowance to help you stay on top of your health · Eye care reimbursement: Support towards the cost of maintaining your vision and eye health We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Sponsorship Applicants must have the legal right to work in Taiwan. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. Join the Team at Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. If you want to improve how advanced AI products move through manufacturing, we’d love to hear from you. Apply now to help shape production performance at Graphcore.
Knowledge Management and Training Project Intern
About the job Spend your summer turning technical knowledge into tools that help data center teams work with confidence. As a Knowledge Management and Training Project Intern, you will support the Technical Services team in Austin. You will help build clear documentation, training materials and knowledge resources for data center engineering environments. You will work with engineers, operational teams and subject matter experts to turn complex information into usable guidance. Your work will help colleagues understand current processes, onboard faster and apply information with confidence. This is a 12-week, full-time summer internship, planned for May to August. You will own defined project tasks with guidance, feedback and support from experienced team members. You will gain practical experience in documentation, training content, knowledge systems and project coordination. The team and culture You will work with a team that supports the infrastructure used to develop and test the next generation of AI systems. Work happens through clear briefs, expert input, structured reviews and regular feedback. You will be trusted to organize information, ask useful questions and improve how knowledge is shared. Decisions are made through accuracy, clarity, user feedback and alignment with the right subject matter experts. The team values people who think big, act fast, take responsibility and speak up. As an intern, you will build confidence by helping technical teams make complex information easier to use. What we’re looking for - Current enrollment in a bachelor's or master's degree program in communications, information management, business, learning and development, technical communication or a related field - Strong written communication skills and the ability to organize information clearly for different audiences - Careful attention to detail, with a commitment to accurate, high-quality work - Ability to follow established processes, incorporate feedback and ask questions when requirements are unclear - Organizational and time-management skills, including the ability to manage assigned tasks and deadlines - Interest in technical, engineering, data center or operational environments, with confidence using productivity, presentation and collaboration tools While we have outlined a set of requirements, we value transferable skills and diverse experiences. Benefits - Flexible working: Balance your work and personal life with greater flexibility - Comprehensive healthcare: Medical, dental and vision coverage to help keep you and your family healthy - Phantom equity: Share in Graphcore’s success - Tax-advantaged healthcare savings: Flexible Spending Accounts (FSAs) and Health Savings Accounts (HSAs) to help you make the most of your healthcare spending - Peace of mind protection: Disability and life insurance to provide financial security when you need it most - Retirement planning support: A 401(k) plan to help you invest in your future - Commuter benefits: Help cover the cost of your daily commute - Wellbeing resources: Access to wellness services that support your physical and mental health - Employee Assistance Program (EAP): Confidential advice and support for you and your family across a range of personal, financial and wellbeing matters We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognize that everyone brings different strengths and perspectives. If you need any accommodations during the interview process, just let us know - we're happy to support you. Join the Team at Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. Ready to spend your summer building skills that make technical teams faster, clearer and better connected? Apply now to join Graphcore as a Knowledge Management and Training Project Intern.
Distinguished Engineer, End-to-End Security Archit...
About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore fosters continuous learning and innovation. Job Summary Reporting into the Systems Engineering organisation, the Distinguished Engineer, End-to-End Security Architect will define and lead the security architecture for Graphcore’s inference service platform. This role is responsible for establishing a comprehensive security strategy spanning platform, infrastructure, networking, service operations, customer assurance, and compliance readiness. Working across multiple engineering and operational functions, the successful candidate will provide technical leadership, drive security requirements, and ensure the platform delivers robust protection, resilience, and trust for customers. The Team You will work closely with teams across security architecture, infrastructure engineering, networking, site reliability engineering, platform software, firmware, data centre operations, compliance, legal, customer engineering, and customer security. The team collaborates across the business to deliver secure, reliable, and scalable AI infrastructure and services while supporting customer assurance, regulatory requirements, and operational excellence. Responsibilities and Duties - Own the end-to-end security architecture for the inference service platform, covering infrastructure, networking, APIs, operational controls, monitoring, and customer assurance. - Define security principles, threat models, trust boundaries, tenant isolation requirements, and architectural standards for the service. - Establish security requirements for deployment environments, including physical security, operational controls, access management, and asset protection. - Define platform security requirements across hardware, firmware, secure boot, attestation, software integrity, and lifecycle management. - Lead the design of network and service isolation controls, secure communications, segmentation strategies, and administrative access protections. - Own security architecture for authentication, authorisation, secrets management, encryption, key management, and data protection controls. - Define privileged access management approaches, audit requirements, access review processes, and emergency access procedures. - Establish logging, monitoring, telemetry, incident response, and security assurance requirements across the service lifecycle. - Partner with engineering and operations teams to ensure security requirements are effectively implemented, maintained, and validated. - Assess security posture against customer, contractual, regulatory, and internal requirements, managing risk-based decisions where required. - Support customer security reviews, audits, penetration testing activities, security questionnaires, and technical assurance discussions. - Provide technical leadership, architectural guidance, mentoring, and design review expertise across multiple teams and disciplines. Candidate Profile Essential - Advanced degree in Computer Science, Computer Engineering, Cybersecurity, Electrical Engineering, or a related technical discipline, or equivalent practical experience. - Significant experience in security architecture, platform security, cloud security, infrastructure security, or large-scale service security. - Demonstrated experience defining and owning security architecture for customer-facing platforms, infrastructure services, or large-scale production environments. - Deep understanding of threat modelling, zero-trust principles, tenant isolation, privileged access management, cryptographic controls, and secure operations. - Strong knowledge of platform security technologies including trusted execution mechanisms, secure boot, attestation, firmware integrity, and supply-chain security concepts. - Experience defining security requirements for data centre deployments, operational environments, and physical security controls. - Expertise in network security architecture, segmentation, management-plane protection, secure communications, monitoring, and access control. - Experience with key management, secrets management, certificate lifecycle management, and encryption technologies. - Experience securing APIs, deployment pipelines, service control planes, and operational tooling. - Strong understanding of logging, monitoring, incident response, security operations, and evidence management practices. - Experience supporting customer security reviews, audits, penetration testing activities, and executive-level security discussions. - Excellent communication and stakeholder management skills, with the ability to influence technical and non-technical audiences. - Proven ability to lead through influence across engineering, security, operations, compliance, and customer-facing teams. Desirable - Experience securing AI/ML inference platforms, model-serving infrastructure, accelerator-based systems, or confidential AI workloads. - Experience with trusted execution environments, platform attestation technologies, secure firmware development, and workload identity solutions. - Experience with confidential computing, secure enclaves, measured boot technologies, and remote attestation. - Experience supporting highly regulated environments, critical infrastructure, or security-sensitive customer deployments. - Familiarity with industry security and compliance frameworks such as SOC 2, ISO 27001, ISO 27017, ISO 27018, PCI DSS, FedRAMP, or NIST standards. - Knowledge of hardware platform security, high-performance networking, storage security, and accelerator ecosystem technologies. - Experience with supply-chain risk management, secure manufacturing practices, asset lifecycle controls, and secure disposal processes. - Understanding of emerging cryptographic technologies and future security trends. - Experience working with hyperscalers, enterprise customers, AI organisations, or managed infrastructure providers. In addition to a comprehensive benefits package, Graphcore offers flexible working arrangements designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP). We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment where everyone can thrive. We offer an equal opportunity recruitment process and can provide a flexible approach to interviews. Please let us know if you require any reasonable adjustments.
Director Of Product Engineering
*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-WEB:a419a55f-0d1b-45d2-af2c-2d0a455b61d5-6" data-turn-id-container="request-WEB:a419a55f-0d1b-45d2-af2c-2d0a455b61d5-6" data-testid="conversation-turn-14" data-turn="assistant"> About the job Build the product engineering capability that protects yield, quality and cost at manufacturing scale. As Director of Product Engineering, you will lead how Graphcore products move through launch and high volume production. You will recruit and develop a team focused on semiconductor and PCBA manufacturing performance. Your work will shape yield, quality and cost across chip manufacturing, test, PCBA and system level production. You will give teams the data, standards and direction needed to solve hard production problems. You will work with OSATs, test engineering, manufacturing, quality, data engineering and analytics teams. You will define best practice for data collection, correlation, dashboards and self-service manufacturing insight. This role suits a leader who combines technical depth with team building. You will set the standard for product engineering across Graphcore’s manufacturing lifecycle. The team and culture You will join the Product Test and Diagnosis team within Manufacturing Operations. The team spans Bristol, Cambridge, India, the US and Taiwan. Work happens through clear technical ownership, fast issue resolution and strong links to manufacturing partners. You will lead by setting direction, removing ambiguity and building capability across locations. Decisions are grounded in production data, engineering judgement and accountability for outcomes. The team values leaders who think big, act fast and speak up when quality or yield needs action. What we're looking for · Extensive semiconductor product engineering, test engineering or manufacturing engineering capability · Proven people leadership experience, including hiring and building teams across geographies · Strong understanding of semiconductor, PCBA and system level manufacturing and testing · Deep statistical analysis skills, including SPC, DOE, regression, hypothesis testing and six sigma methods · Proven ability to analyse large manufacturing datasets using Python, SQL, JMP or similar tools · Success driving yield, quality and cost improvements in high volume production While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how your background makes you a strong candidate. Benefits · Flexible working: Balance your work and personal life with greater flexibility · Generous leave: Take time to rest, recharge and enjoy life outside of work · Retirement planning support: Up to 5% matched pension · Phantom equity: Share in Graphcore’s success · Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day · Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones · Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover · Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Sponsorship Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. Join the Team at Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. If you want to build the product engineering team behind manufacturing excellence, we’d love to hear from you. Apply now to help Graphcore improve product performance at scale.
Solutions Engineer, UK
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: The Solution Engineer role sits within the GTM organisation within the UK&I region, making you a trusted technical advisor to the local sales team, our partners, and our customers. You will work on many exciting projects with some of the most future-forward organizations, helping to guide the beginning of their Generative AI journeys. This role has a strong technical skillset and not a classic SE profile. At Glean, our Solution Engineers work with our customers to help them connect Glean to their most important decision-making platforms. These platforms include Microsoft 365, Google Workspace, Jira, Confluence, Slack, GitHub, Zendesk, and everything in between! As an SE, you will work closely with our local Account Executives (AEs) and will be responsible for the technical success and delivery of our sales opportunities. You will: - Performing interactive demonstrations of the Glean platform to prospective customers. - Educating the technical teams of our prospective customers on the architecture of the Glean platform. Specifically, articulating the “how” of how our solution works in the context of the customer landscape. - Scoping and executing sponsored pilot and Proof of Value (PoV) exercises to ensure the technical requirements and business objectives that the Glean solution provides are validated. - Educating and training our customers and partners on our product to ensure that they are set up for success. - Presenting at company-sponsored events such as Google Cloud Next and AWS re: invent. - Liaising with Glean product managers and engineers to investigate issues, raise feature requests, and understand our future roadmap. About you: - You will have a bachelor's degree in Engineering, Computer Science, Information Technology, or a related field (or equivalent work experience). - At least 5+ years of experience in enterprise software pre-sales and have used value-based discovery frameworks. - You possess excellent analytical and problem-solving skills with the ability to handle complex technical challenges. - You are able to explain complex technical concepts in layman’s terms to help educate and train our customers, prospects, and partners. - You are comfortable presenting, both virtually and in person. - Familiarity with cloud infrastructure (IaaS) platforms such as GCP, AWS, and Azure. - Familiarity with identity services and Single Sign-On (SSO) providers such as Azure/Entra ID, Okta, and protocols such as SAML, SCIM, and OIDC. - Familiarity with APIs, including sending and receiving data from API endpoints, and how to troubleshoot issues. - Familiarity with security concepts and tools, e.g. Firewalls, VPNs, SSL/TLS, DLP, WAFs, and proxies. Location: - This role is London based Compensation & Benefits: Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, and Dental coverage, generous time-off policy, and the opportunity to contribute to your pension plan to support your long-term goals. We’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. LI-HYBRID LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy . By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.
Software Engineer, Intern (Summer 2027)
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: As a Software Engineer intern, you will participate in designing, developing, and maintaining software solutions that power our products and services. You will: - Own a scoped, high-impact project end to end - from defining the problem and writing a design, to building, testing, launching, and measuring outcomes - Ship production-quality code that is reliable, well-tested, and maintainable, with thoughtful code reviews and iterative feedback - Learn quickly and contribute across the stack based on your interests - backend services, product engineering, ML/AI/search, infrastructure, security, and more - Work closely with people both within and beyond your team while having fun along the way About you: - Graduating in Fall 2027 or Spring 2028 with a B.S., M.S. or Ph.D. in Computer Science or equivalent program - A team player, a strong desire to learn, and an owner mentality - Comfortable working in a fast paced, data-driven environment - Interested in something in the realm of Backend, Infrastructure, Security, UI/full-stack, or ML/NLP/Search - Prior internship experience in one or more of the areas above - Strong foundation in CS and software development fundamentals Location: - This role is hybrid (4 days a week in our Mountain View or San Francisco office) Compensation & Benefits: The hourly pay range for this position is $57 - $69. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy . By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.
Software Engineer, Data Foundations
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: We are looking for a Software Engineer to join Glean’s Data Foundations team — the group that owns the end-to-end data ingestion and management layer powering Glean’s Search, AI Assistant, and Agent products across thousands of enterprise apps and billions of documents. Your work will directly determine the quality, freshness, and trustworthiness of the knowledge that every Glean user interacts with every day. You will work on: - Build and scale connectors to a wide variety of SaaS and on-prem systems (Google Workspace, Microsoft 365, Slack, Salesforce, Jira, ServiceNow, GitHub, etc.). - Handle full syncs, low-latency incremental updates via webhooks/APIs, rate-limiting, and complex authentication flows. - Build advanced capabilities in datasources like actions, live-fetch, and query language support. - Transform raw, unstructured enterprise content into rich, structured, permission-aware representations optimized for search and LLM reasoning. - Design document schemas and enrichment pipelines (entity extraction, access-graph propagation, redactions, etc.). - Expand the capabilities of AI products through deep integrations that allow us to automate tasks, perform complex queries grounded in enterprise data, and enhance our indexed corpus with live data. - Own end-to-end correctness, freshness, and performance for petabyte-scale data flows. - Solve hard problems in ordering, idempotency, exactly-once processing, backpressure, and retries across distributed queues, workers, and storage. - Preserve fine-grained ACLs, deletions, and sensitivity constraints so AI answers are always grounded in what users are actually allowed to see. - Partner closely with Search Serving, Product, Platforms, and Security teams to define how enterprise context is exposed to LLMs and agents. - Continuously improve observability, alerting, and automation to onboard larger customers and more data sources with confidence. About you: - 3+ years building production backend or data infrastructure systems (Java, Go, C++, Python, etc.). - Hands-on experience with distributed systems, data pipelines, queues, and large-scale storage (SQL/NoSQL). - You think in SLOs, error budgets, failure modes, and correctness guarantees — not just features. - Comfortable with strict consistency and permission-modeling challenges. - Prior work on enterprise connectors, search/indexing, information retrieval, or security-sensitive systems is a strong plus. - Passionate about making AI trustworthy by building the rock-solid data foundation underneath it. - Power user of LLMs and AI tools in your own workflow. Location: - This role is hybrid (4 days a week in either our San Francisco or Mountain View office) Compensation & Benefits: The standard base salary range for this position is $180,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy . By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.
Senior Technical Program Manager
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: Glean is seeking a Sr. Technical Program Manager (TPM) to lead complex, cross-functional initiatives that shape how our enterprise AI product evolves, scales, and delivers value to customers. This role sits at the intersection of product, engineering, design, and go-to-market, ensuring Glean’s product roadmap is executed with clarity, quality, and velocity. You’ll drive alignment across teams, streamline execution for multi-quarter programs, and help deliver delightful, high-impact product experiences that advance Glean’s mission. You’ll partner closely with Product Managers, Engineering Leads, Design, and Customer Success to orchestrate end-to-end delivery while ensuring technical excellence, customer empathy, and cross-functional alignment. You will: - Lead end-to-end product development programs, spanning ideation, design, engineering, and launch. - Build and maintain program plans that drive clarity across teams ensuring transparency in scope, timelines, and ownership. - Drive execution excellence for cross-functional initiatives, balancing speed with quality. - Partner with Go-To-Market and Customer Success teams to ensure readiness for product rollouts and customer adoption. - Facilitate communication across Product, Design, and Engineering to align priorities and unblock delivery. - Proactively identify and mitigate delivery risks, tradeoffs, and cross-team dependencies. - Establish clear visibility into execution health using metrics such as velocity, quality, and adoption impact. - Continuously evolve how Glean plans, tracks, and delivers cross-functional programs thereby improving predictability and accountability. - Driving the company’s Product roadmap execution, ensuring alignment between product vision, engineering delivery, and customer outcomes. - Structuring and managing programs for major product launches, platform enhancements, and customer-facing capabilities. - Partnering with PMs and Eng to define clear requirements, success metrics, and launch criteria. - Anticipating risks, resolving dependencies, and ensuring smooth execution across engineering and GTM teams. - Improving execution rigor, building visibility into progress, blockers, and outcomes across multiple teams. - Driving operational excellence through consistent program cadences, postmortems, and lessons learned. About you: - BS/MS in Computer Science, Engineering, or a related technical field. - 8-10+ years of experience in technical program management with a proven track record of driving complex product programs from concept to launch in fast-paced SaaS environments. - Deep technical background in AI/ML systems, LLMs, and agents, with an ability to translate complex capabilities into practical product impact. - Strong understanding of software product development, including API design, data systems, and product integration patterns. - Ability to structure multi-quarter product programs with measurable outcomes. - Excellent written and verbal communication skills; able to translate between technical and business contexts. - Demonstrated ability to manage through ambiguity, anticipate risks, and build alignment across diverse teams. - A builder mindset; proactive, collaborative, and focused on enabling teams to deliver their best work. Location: - This role is hybrid (4 days a week in our San Francisco office) Compensation & Benefits: The standard base salary range for this position is $198,000 - $235,500 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy . By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.
Product Marketing Manager (Competitive Intelligenc...
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: Competitive intelligence is core to how we position Glean as an AI leader and how we differentiate our platform. To turn fast-moving market signals into clear strategy and actionable insights, we’re hiring a Senior Product Marketing Manager focused on competitive intelligence. The role sits in Bangalore and will be a key driver of competitive intelligence, owning the upkeep of our market landscape and competitive positioning, and delivering rapid, high-impact insights to the field. You will: - Track key market development and launches, and maintain a view of competitive landscape - Conduct deep competitive research, informed through desk research, win/loss analysis, and field insights - Own the development of competitive intelligence assets (e.g., marketscapes, battlecards, deal support materials) - Partner with Sales Enablement to support competitive training and evaluation frameworks - Support the field with timely competitive insights, partnering closely with stakeholders to refine and scale - Collaborate effectively with global stakeholders across time zones, operating as a reliable CI partner About You: - BA/BS in business, economics, marketing, liberal arts, or related degree - 8+ years of B2B SaaS market research, market intelligence, product marketing, strategy or consulting experience - You have strong analytical skills, impeccable attention to detail, and take a results-driven approach to work (testing, measuring, iterating) - You excel at bringing structure to ambiguity - You are an action-oriented self-starter, with a growth mindset and an eagerness to learn the ins and outs of Glean and to use AI/LLM tools in your workflow - You are an excellent communicator (written and verbal), with experience simplifying concepts, influencing stakeholders, and creating compelling messaging - You are a strategic cross-functional collaborator with a track record of consistently delivering results in a fast-paced environment - You are passionate about Glean's mission and product and representing our customers’ needs - You have experience working with US stakeholders and adjusting to time-zone overlap, with a track record of delivering in distributed teams - Agentic AI experience is a plus Location: - This role is hybrid (3 days a week in our Bangalore office) Compensation & Benefits: Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.The final offer will depend on experience, internal equity, and applicable compensation approvals. Certain roles may be eligible for variable compensation, equity, and benefits. We’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy . By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.
Product Manager, Enterprise Intelligence
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: Glean is seeking a highly strategic and execution-oriented Product Manager to help define and build our emerging Enterprise Intelligence product area. This role sits at the intersection of AI, enterprise workflows, analytics, and product strategy. You will help shape how Glean turns its enterprise context layer into proactive, high-value intelligence products that help leaders and teams understand what is changing, where value is being created or lost, and where to act. Glean’s company strategy emphasizes building “the trusted enterprise context and intelligence layer,” including “enterprise intelligence products” that go beyond personal productivity and turn horizontal context into leader- and department-level intelligence. You will work closely with the Product lead and cross-functional partners across engineering, design, data, go-to-market, and customer-facing teams to identify the right product bets, bring structure to an ambiguous opportunity space, and translate enterprise intelligence concepts into concrete product experiences. We’re currently a very lean product team, so you’ll have an outsized role in shaping both the product roadmap and the product team itself. This role is ideal for someone with 5+ years of experience, a deep industry overview and passion for AI, and the ability to demonstrate granular product implementation skills such as designing specific user interfaces and workflows rather than staying at a high conceptual level. You will: - Help define and drive the product strategy and roadmap for Enterprise Intelligence, translating broad company vision into specific product bets, experiences, and execution plans informed by customer needs and market signals. - Spend significant time with customers, prospects, and internal stakeholders to understand high-value enterprise intelligence use cases, especially where organizations need proactive, contextual insights rather than reactive search or chat experiences. - Build products that turn Glean’s enterprise context layer, graph, and connected system intelligence into actionable workflows, dashboards, recommendations, and proactive experiences for teams and leaders. - Partner deeply with engineering, design, and data teams to turn ambiguous concepts into well-scoped products, with clear user flows, interaction patterns, quality standards, and measurable outcomes. - Drive customer-focused prioritization and efficient execution, balancing long-term platform opportunities with urgent user pain points, strategic customer asks, and company priorities. - Collaborate closely with go-to-market, solutions, support, and forward-deployed teams to learn from real customer problems and ensure our product strategy reflects enterprise realities, not just internal assumptions. - Help establish the product foundations for a new category by identifying what Enterprise Intelligence should look like at Glean across proactive insights, organizational visibility, process understanding, and cross-functional decision support. - Bring a high bar for product craft by not only identifying the right opportunities, but also specifying how they should work in practice, including concrete workflows, UI behavior, and adoption paths. About you: - You have 5+ years of experience in product management, with a track record of owning and shipping meaningful product areas in B2B SaaS, enterprise software, AI products, analytics products, or workflow/intelligence platforms. - You have a strong product sense for translating complex, ambiguous problems into clear product experiences, and you are comfortable moving between strategy and detailed execution. - You have a deep interest in AI and enterprise software, and you are excited by the opportunity to shape products that combine context, workflows, analytics, and proactive intelligence. - You have strong technical fluency and are comfortable partnering with engineering and data teams on systems involving structured and unstructured data, knowledge graphs, retrieval, or intelligence layers. - You can demonstrate granular product thinking, including how a user should experience a workflow, what the right interaction model is, and how to sequence product capabilities into something customers will actually adopt. - You are comfortable operating in highly ambiguous spaces and can create clarity, momentum, and alignment even when the product area is still emerging. - You are an excellent written and verbal communicator. - You have a proven track record of taking ownership, taking initiative, and delivering results. - You collaborate effectively with cross-functional partners. - You have a learning and growth mindset. - You are mission-first and understand that your success is measured by your product and team’s success. - You are an early adopter in building with or adopting AI for your own product craft and you are excited about helping customers accelerate their own AI adoption journey. Location: - This role is hybrid (4 days a week in our San Francisco office) Compensation & Benefits : The standard base salary range for this position is $170,000 - $250,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy . By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.
Product Manager, Core Experience
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: Glean is seeking a highly strategic and execution-oriented Product Manager, Core Experience product area — the full-stack, high-polish, consumer-grade experiences that define how every user interacts with Glean. This role sits at the intersection of AI, consumer-quality product craft, growth, and platform strategy. You will own the surfaces where users start and do their work every day — Homepage, Mobile, Desktop, Browser Extension, and SDK, plus the app shell, navigation, notifications, and settings — and shape a single, consistent product journey across all of Glean's touchpoints. This role closely partners with the Search and Chat teams, and is a primary voice in shaping how those surfaces show up across the end-to-end user experience. Glean's company strategy centers on making Glean the central, contextual AI entry point for work: a single, chat-first experience that users reach for the moment they sit down to work. The Core Experience area is how we deliver on that promise: by obsessing over engagement, session depth, virality, collaboration, onboarding, and rapid experimentation to turn first-time users into daily, mission-critical habits. You will work closely with the Product lead and cross-functional partners across engineering, design, data, growth, go-to-market, and customer-facing teams to identify the right product bets, raise the bar on craft and polish, and translate a broad vision into concrete, shippable experiences. We're currently a very lean product team, so you'll have an outsized role in shaping both the product roadmap and the product team itself. This role is ideal for someone with 8+ years of experience, a deep industry overview and passion for AI, and the ability to demonstrate granular product implementation skills such as designing specific user interfaces and workflows rather than staying at a high conceptual level. You will: - Help define and drive the product strategy and roadmap for Core Experience, translating broad company vision into specific product bets, experiences, and execution plans informed by customer needs, usage data, and market signals. - Own the end-to-end quality of Glean's core surfaces — Homepage, Mobile, Desktop, Extension, and SDK, plus the app shell, navigation, and settings — driving a single, consistent, consumer-grade product journey across every touchpoint. - Partner exceptionally closely with the Search and Chat teams, to influence their roadmaps and ensure they integrate seamlessly into a cohesive end-to-end user journey. - Spend significant time with users, customers, and internal stakeholders to understand how people start and complete work in Glean, and where friction, drop-off, or fragmentation is costing engagement and retention. - Drive growth, engagement, virality, collaboration, and session depth as first-class outcomes, partnering with growth and data teams on activation, onboarding, and retention across entry points. - Champion rapid experimentation, using A/B tests, instrumentation, and qualitative research to learn fast, raise core metrics, and make confident, data-driven product decisions. - Partner deeply with engineering, design, and data teams to turn ambiguous concepts into well-scoped products, with clear user flows, interaction patterns, quality standards, and measurable outcomes. - Drive customer-focused prioritization and efficient execution, balancing long-term platform opportunities with urgent user pain points, strategic customer asks, and company priorities. - Collaborate closely with go-to-market, solutions, support, and forward-deployed teams to learn from real customer problems and ensure our product strategy reflects enterprise realities, not just internal assumptions. - Bring a high bar for product craft by not only identifying the right opportunities, but also specifying how they should work in practice, including concrete workflows, UI behavior, performance, and adoption paths. About you: - You have 8+ years of experience in product management, with a track record of owning and shipping meaningful product areas in B2B SaaS, enterprise software, AI products, consumer products, or high-engagement workflow platforms. - You have a strong product sense for translating complex, ambiguous problems into clear, polished product experiences, and you are comfortable moving between strategy and detailed execution. - You have a deep interest in AI and software, and you are excited by the opportunity to shape consumer-grade experiences that combine search, chat, context, and proactive intelligence. - You have a strong track record of driving growth, engagement, and retention through experimentation, instrumentation, and data-driven iteration. - You are an outstanding cross-functional partner and influencer who can drive outcomes across surfaces you don't directly own, aligning adjacent teams into a cohesive user experience. - You have strong technical fluency and are comfortable partnering with engineering and data teams on systems involving retrieval, ranking, client infrastructure, and intelligence layers across web, desktop, mobile, and SDK surfaces. - You can demonstrate granular product thinking, including how a user should experience a workflow, what the right interaction model is, and how to sequence product capabilities into something customers will actually adopt. - You are comfortable operating in highly ambiguous spaces and can create clarity, momentum, and alignment even when the product area is still emerging. - You are an excellent written and verbal communicator, and have a learning and growth mindset. - You have a proven track record of taking ownership, taking initiative, and delivering results, and collaborate effectively with cross-functional partners. - You are mission-first and understand that your success is measured by your product and team's success. - You are an early adopter in building with or adopting AI for your own product craft and you are excited about helping customers accelerate their own AI adoption journey. Location: - This role is hybrid (4 days a week in our San Francisco office) Compensation & Benefits: The standard base salary range for this position is $200,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy . By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.
Product Manager, Connectors
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: As Glean’s Connectors PM, you’ll expand Glean’s connectors library, improve and deepen our existing product integrations, and improve our Indexing API and custom connector capabilities. You will: - Spending a lot of time with our customers to deeply understand their knowledge needs - Developing key parts of our product roadmap, marrying customers’ needs with our product vision - Empowering your team by giving context, setting direction, and building alignment - Driving customer-focused decisions, clear prioritization, and efficient execution - Coordinating cross-functionally with with leadership, go-to-market teams, and other key stakeholders across the company - Building processes that will scale as our team and company go through rapid growth About you: - You have 6+ years of experience as a product manager at a B2B SaaS company. Experience working on collaboration, productivity, or ML/ranking tools is a plus. - You have a strong technical background and excel at analytical thinking - You are an excellent written and verbal communicator - You have a proven track record of taking ownership, taking initiative, and delivering results - You collaborate effectively with cross-functional partners - You have a learning and growth mindset - You are mission-first and understand that your success is measured by your product and team’s success Location: - This role is hybrid (3 days a week in our Bangalore office) Compensation & Benefits: Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy . By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.
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