{"id":83506,"url":"https://alion.io/job/thinking-machines-lab-research-product-manager","title":"Product Manager","company":{"id":14382,"name":"Thinking Machines Lab","domain":"thinkingmachines.ai","url":"https://alion.io/company/thinking-machines-lab","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":76,"open_postings":21,"ghost_share":0,"stale_share":0.952,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Product","role_family":"Product","seniority":null,"employment_type":"full_time","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":{"min":350000,"max":400000,"currency":"USD","period":"year","gross":null,"usd_annual":400000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":true,"has_equity":false,"technologies":[{"name":"Quantization","optional":true}],"status":"live","first_seen_at":"2026-08-04T17:30:13Z","employer_posted_date":"2026-08-04","last_verified_at":"2026-11-09T20:13:02Z","board_verified":true,"closed_at":null,"days_open":97,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":96},"description":"About Thinking Machines\nThe mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it.\nAbout the Role\nAs Product Manager you will own how Thinking Machines' models and fine-tuned checkpoints go from training into production use. You will shape the path from a trained model to a served, reliable, cost-effective endpoint - covering inference infrastructure, serving APIs, latency and throughput tradeoffs, scaling behavior, observability, and the workflows researchers and external users rely on to deploy their work with confidence.\nThis is not a mature MLOps role at an established platform. Deployment at Thinking Machines is still being defined: what \"production-ready\" means for a fine-tuned model, which serving paths we support, how much control users get over performance and cost tradeoffs, and how we scale reliably as usage grows. You will work from infrastructure capability through to a deployment experience that is fast, predictable, and trustworthy.\nThe strongest candidate has shipped and operated production ML or infrastructure systems before, ideally as an engineer before becoming a product leader, and can reason from strategy down to autoscaling behavior, latency budgets, rollout safety, and the on-call realities of running models in production.\nWhat You'll Do\nOwn deployment strategy, roadmap, and success metrics for taking models and Tinker-trained checkpoints into production, in close partnership with infrastructure, research, engineering, and GTM\n\nDefine priority deployment paths and workflows across model serving, autoscaling, versioning, rollback, monitoring, and incident response\n\nWork at engineering depth on serving architecture, latency and cost tradeoffs, reliability targets, capacity planning, and API/SDK surfaces for deployment\n\nBuild direct feedback loops with users deploying models in production, and turn scattered signals into a clear view of what's broken, what's missing, and what to prioritize next\n\nDrive ambiguous workstreams end to end: technical scoping, dependency resolution, launch readiness, on-call/escalation design, and post-incident learning\n\nConnect deployment decisions to the model and infrastructure roadmap, making visible the tradeoffs between flexibility, reliability, and operational cost\n\nShape SLAs, pricing/packaging inputs for hosted inference, and the operating model for a deployment platform expected to scale quickly\n\nDo whatever work makes deployment succeed - reviewing a serving config, joining an incident retro, inspecting latency data, or writing the rollout plan for a new model\n\nSkills and Qualifications\nExperience owning a production ML serving, infrastructure, or deployment product, with direct involvement in reliability, scaling, or performance decisions\n\nTrack record working at engineering depth with production systems - comfortable discussing latency, throughput, autoscaling, rollback, or incident response in specifics\n\nExperience taking a technical product from early usage through to reliable, scaled production use\n\nPreferred qualifications:\nBackground as an engineer or technical founder before moving into product leadership\n\nExperience with ML inference infrastructure specifically (model serving frameworks, GPU scheduling, batching, quantization tradeoffs, or similar)\n\nExperience operating in a startup, lab, or new product area where the deployment model and roadmap weren't handed to you\n\nComfortable moving between a strategic narrative and a specific technical detail (an autoscaling policy, an SLA definition, a rollout gate) without losing judgment\n\nExperience building trust with technical users through evidence, responsiveness, and follow-through rather than process ownership\n\nLogistics\nLocation: This role is based in San Francisco, CA.\n\nCompensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $400,000 USD.\n\nVisa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.\n\nBenefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.","description_format":"text","description_chars":4516,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Parental leave","Unlimited PTO"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Multimodal AI","Foundation Models","AI Research Labs","AI Development Tools"],"lifecycle":[{"event":"open","at":"2026-08-04T17:30:13Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":57,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 30","filings_12m":30,"filings_prev_12m":8,"green_card_filings_12m":0,"median_offered_wage_usd":192500,"route":null,"cap_exempt":false,"checked_at":"2026-11-09T07:32:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","Alion: sponsorship offered in the employer's own job adverts (24 months)"],"filings_for_role_12m":0}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.279,"p_room":0.28,"age_days":96,"expected_fill_days":29,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:"],"computed_at":"2026-11-09T06:03:00Z"},"pay":{"stated_usd_annual":400000,"is_top_pay":true},"html_url":"https://alion.io/job/thinking-machines-lab-research-product-manager","json_url":"https://alion.io/job/thinking-machines-lab-research-product-manager.json","meta":{"generated_at":"2026-11-09T22:30:45Z","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":12146,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":14382},"rest":"https://alion.io/mcp/rest/get_company?id=14382"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fthinking-machines-lab-research-product-manager"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fthinking-machines-lab-research-product-manager"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fthinking-machines-lab-research-product-manager"},{"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/thinking-machines-lab-research-product-manager\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fthinking-machines-lab-research-product-manager"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":83506}},{"tool":"search_jobs","arguments":{"company":"thinkingmachines.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":83506},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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