{"schemaVersion":"jobsearcher.job.v1","id":"c24ce3dabc0ca7c98cf050bb","url":"https://jobsearcher.com/jobs/c24ce3dabc0ca7c98cf050bb","canonicalUrl":"https://jobsearcher.com/jobs/c24ce3dabc0ca7c98cf050bb","title":"Product Engineer","description":"About Goodfire\nGoodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by understanding the intelligence we're building.\n\nScaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.\nWe're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.\nGoodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.\nAbout the role\nWe're looking for Product Engineers to help build the core product experience for training, evaluating, debugging, and deploying interpretable AI systems at scale. You'll play a central role in turning Goodfire's research and platform capabilities into products that people can actually use: clear interfaces, reliable workflows, developer tools, and product surfaces that make model internals understandable and actionable.\nThis role is similar to our Machine Learning Engineer role, but with a stronger focus on core product building. You will work across engineering, design, research, and field teams to translate state-of-the-art interpretability into robust product features, from early prototypes through production systems used by customers.\nWhere you might contribute\nProduct surfaces: build the interfaces, workflows, and developer experiences\nResearch-to-product translation: turn new interpretability techniques into usable features that are reliable, explainable, and easy to adopt\nCustomer workflows: build product paths that support real-world use cases across evaluation, model understanding, intervention, monitoring, and deployment\nPlatform integration: connect product features to the underlying infrastructure for model analysis, training, inference, and experimentation\nWe'll work with you to determine the team and product area that best aligns with your strengths.\nKey responsibilities\nTurn cutting-edge interpretability research into production-ready product features: partner with researchers and ML engineers to make new capabilities usable in the product\nBuild high-quality product experiences: own full-stack features, APIs, workflows, and interfaces from ambiguous idea to shipped product\nCreate product systems that are reliable and fast: ensure the product is performant, reproducible, observable, and stable enough for real customer use\nShape product direction through engineering judgment: identify obvious fixes, propose better workflows, and help decide what Goodfire should build next\nWhat you’ll bring\nRequired experience\n2+ years of experience building production software, especially user-facing products, data-intensive systems, or AI/ML products.\nStrong engineering fundamentals and ability to work across the stack, with depth in at least one of frontend, backend, systems, or product infrastructure.\nStrong product judgment; you care about making powerful technical systems feel clear, reliable, and easy to use.\nComfort working across research, engineering, design, and customer-facing teams.\nYou care about understanding how models work internally and using that understanding to make AI systems more reliable and useful in the real world.\nPreferred qualifications\nExperience building products for technical users, developers, researchers, ML engineers, or infrastructure teams.\nStartup or frontier lab experience in fast-moving teams.\nStartup or frontier lab experience in fast-moving teams.\nOur values\nGoodfire is looking for individuals who embody our values and share our deep commitment to making interpretability accessible. We are building a team first and foremost.\nPut mission and team first\nAll we do is in service of our mission. We trust each other, deeply care about the success of the organization, and choose to put our team above ourselves.\nImprove constantly\nWe are constantly looking to improve every piece of the business. We proactively critique ourselves and others in a kind and thoughtful way that translates to practical improvements in the organization. We are pragmatic and consistently implement the obvious fixes that work.\nTake ownership and initiative\nThere are no bystanders here. We proactively identify problems and take full responsibility over getting a strong result. We are self-driven, own our mistakes, and feel deep responsibility over what we’re building.\nAction today\nWe have a small amount of time to do something incredibly hard and meaningful. The pace and intensity of the organization is high. If we can take action today or tomorrow, we will choose to do it today.\nWhere we work\nWe are hiring for this position in our San Francisco HQ. We are in person 5 days a week, with one company-wide remote week per month.\nWhat we offer\nThis role offers market competitive salary, equity, and competitive benefits.\nMost importantly, you'll have the opportunity to join a vital mission at an important point in its trajectory — we are developing groundbreaking technology with a world-class team on the critical path to ensuring a safe and beneficial future for humanity. If you want to do your life’s work with us, even if you believe you do not meet every single requirement, apply now.","company":"Goodfire","rawCompany":"goodfire","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-14T00:46:31.767Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Product Engineer","description":"About Goodfire\nGoodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by understanding the intelligence we're building.\n\nScaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.\nWe're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.\nGoodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.\nAbout the role\nWe're looking for Product Engineers to help build the core product experience for training, evaluating, debugging, and deploying interpretable AI systems at scale. You'll play a central role in turning Goodfire's research and platform capabilities into products that people can actually use: clear interfaces, reliable workflows, developer tools, and product surfaces that make model internals understandable and actionable.\nThis role is similar to our Machine Learning Engineer role, but with a stronger focus on core product building. You will work across engineering, design, research, and field teams to translate state-of-the-art interpretability into robust product features, from early prototypes through production systems used by customers.\nWhere you might contribute\nProduct surfaces: build the interfaces, workflows, and developer experiences\nResearch-to-product translation: turn new interpretability techniques into usable features that are reliable, explainable, and easy to adopt\nCustomer workflows: build product paths that support real-world use cases across evaluation, model understanding, intervention, monitoring, and deployment\nPlatform integration: connect product features to the underlying infrastructure for model analysis, training, inference, and experimentation\nWe'll work with you to determine the team and product area that best aligns with your strengths.\nKey responsibilities\nTurn cutting-edge interpretability research into production-ready product features: partner with researchers and ML engineers to make new capabilities usable in the product\nBuild high-quality product experiences: own full-stack features, APIs, workflows, and interfaces from ambiguous idea to shipped product\nCreate product systems that are reliable and fast: ensure the product is performant, reproducible, observable, and stable enough for real customer use\nShape product direction through engineering judgment: identify obvious fixes, propose better workflows, and help decide what Goodfire should build next\nWhat you’ll bring\nRequired experience\n2+ years of experience building production software, especially user-facing products, data-intensive systems, or AI/ML products.\nStrong engineering fundamentals and ability to work across the stack, with depth in at least one of frontend, backend, systems, or product infrastructure.\nStrong product judgment; you care about making powerful technical systems feel clear, reliable, and easy to use.\nComfort working across research, engineering, design, and customer-facing teams.\nYou care about understanding how models work internally and using that understanding to make AI systems more reliable and useful in the real world.\nPreferred qualifications\nExperience building products for technical users, developers, researchers, ML engineers, or infrastructure teams.\nStartup or frontier lab experience in fast-moving teams.\nStartup or frontier lab experience in fast-moving teams.\nOur values\nGoodfire is looking for individuals who embody our values and share our deep commitment to making interpretability accessible. We are building a team first and foremost.\nPut mission and team first\nAll we do is in service of our mission. We trust each other, deeply care about the success of the organization, and choose to put our team above ourselves.\nImprove constantly\nWe are constantly looking to improve every piece of the business. We proactively critique ourselves and others in a kind and thoughtful way that translates to practical improvements in the organization. We are pragmatic and consistently implement the obvious fixes that work.\nTake ownership and initiative\nThere are no bystanders here. We proactively identify problems and take full responsibility over getting a strong result. We are self-driven, own our mistakes, and feel deep responsibility over what we’re building.\nAction today\nWe have a small amount of time to do something incredibly hard and meaningful. The pace and intensity of the organization is high. If we can take action today or tomorrow, we will choose to do it today.\nWhere we work\nWe are hiring for this position in our San Francisco HQ. We are in person 5 days a week, with one company-wide remote week per month.\nWhat we offer\nThis role offers market competitive salary, equity, and competitive benefits.\nMost importantly, you'll have the opportunity to join a vital mission at an important point in its trajectory — we are developing groundbreaking technology with a world-class team on the critical path to ensuring a safe and beneficial future for humanity. If you want to do your life’s work with us, even if you believe you do not meet every single requirement, apply now.","datePosted":"2026-07-14T00:46:31.767Z","dateModified":"2026-07-14T00:46:31.767Z","hiringOrganization":{"@type":"Organization","name":"Goodfire","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c24ce3dabc0ca7c98cf050bb"},"url":"https://jobsearcher.com/jobs/c24ce3dabc0ca7c98cf050bb"}}