{"id":98945,"url":"https://alion.io/job/goodfire-product-engineer","title":"Platform Engineer","company":{"id":38138,"name":"Goodfire","domain":"goodfire.com","url":"https://alion.io/company/goodfire","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"C","score":57,"open_postings":25,"ghost_share":0.72,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":132000,"max_usd":268000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":360},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Interpretability","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false}],"status":"live","first_seen_at":"2026-06-10T03:21:31Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-17T20:38:57Z","board_verified":true,"closed_at":null,"days_open":129,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":129},"description":"About Goodfire\nGoodfire is an AI interpretability research lab. We build interpretability agents and infrastructure to understand, monitor, and align AI models.\nWe believe that AI is the most consequential technology of our time. Yet AI models are trained by trial and error today, with limited understanding of what drives their behavior. Our goal is to advance the research and technology needed to fully understand and align AI so humanity can trust superintelligence.\nGoodfire is a public benefit corporation founded by researchers who helped pioneer the field of interpretability at OpenAI and Google DeepMind. We are headquartered in San Francisco and have raised over $200M from leading investors including Lightspeed, Menlo, and B Capital.\nAbout the role\nWe're looking for Platform 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.","description_format":"text","description_chars":5435,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Explainable AI (XAI)","AI Safety & Alignment","AI Research Labs"],"lifecycle":[{"event":"open","at":"2026-06-10T03:21:31Z"}],"visa":[],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.138,"p_room":0.28,"age_days":129,"expected_fill_days":27,"reasons":["conf:1","stale_co","ghost","win:tail","crowd:junior"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/goodfire-product-engineer","json_url":"https://alion.io/job/goodfire-product-engineer.json","meta":{"generated_at":"2026-10-17T21:55:18Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6726,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":38138},"rest":"https://alion.io/mcp/rest/get_company?id=38138"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgoodfire-product-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgoodfire-product-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgoodfire-product-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/goodfire-product-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgoodfire-product-engineer"}]}