{"id":1977263,"url":"https://alion.io/job/thinking-machines-lab-technical-program-manager-supercomputing","title":"Technical Program Manager, Supercomputing","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":null},"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":null,"salary_estimate":{"min_usd":211000,"max_usd":441000,"period":"year","method":"role_country_seniority_unknown","sample_n":5585},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-10-06T20:20:11Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-11T00:22:15Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"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\nCompute allocation is a technical judgment problem. Research teams have different goals, workloads have different requirements, and available resources rarely match every need at once. Progress depends on understanding those constraints and finding ways to accomplish more within them.\nIn this role, you’ll own compute allocation and help us make better use of our supercomputing resources. You’ll work closely with researchers and infrastructure engineers to understand demand, evaluate competing needs, and translate research priorities into practical allocation decisions. You’ll investigate where constraints limit progress and help teams find workable alternatives.\nTeaching is central to this work. You’ll help researchers plan their compute needs, understand allocation decisions, and reason through tradeoffs themselves. By working through real workloads, explaining your decisions, and developing useful tools and guidance, you’ll make specialized knowledge available to more of the team.\nThis role is a good fit if you enjoy working deeply with technical constraints, making decisions under uncertainty, and helping others develop their judgment.\nWhat You’ll Do\nOwn compute allocation. Understand current and upcoming demand, develop allocation plans with technical leads, and carry decisions through to execution.\n\nOptimize within constraints. Work through tradeoffs across capacity, hardware suitability, workload size, timing, and dependencies. Help teams adapt their plans as requirements and resources change.\n\nImprove productive use of compute. Partner with researchers and engineers to investigate the gap between allocated resources and useful work. Identify opportunities to improve scheduling, workload placement, and utilization.\n\nTeach teams to plan and use compute well. Help researchers estimate their needs, understand available options, and recognize the consequences of different choices. Build practical understanding through real workloads and decisions.\n\nMake your reasoning transferable. Explain assumptions and tradeoffs clearly. Develop examples, guidance, and tools that enable others to handle recurring decisions and recognize when they need help.\n\nConnect research and infrastructure. Keep research plans grounded in usable capacity and make future needs visible to supercomputing and infrastructure teams.\n\nLearn from outcomes. Compare expected and actual usage, revisit assumptions, and improve allocation decisions as workloads, systems, and priorities change.\n\nSkills and Qualifications\nMinimum qualifications:\nExperience making consequential resource allocation or capacity decisions in a complex computing environment, with clear ownership of the tradeoffs and outcomes.\n\nStrong technical understanding of distributed systems, machine learning infrastructure, or high-performance computing. You can reason about how workload requirements interact with system constraints.\n\nDemonstrated ability to improve useful output from limited resources. You can explain what constrained the work, which alternatives you considered, and why your approach helped.\n\nAbility to teach complex technical ideas through clear explanations and practical examples. You have helped others become more capable and independent.\n\nComfort investigating usage and performance data directly, questioning assumptions, and changing your view when the evidence warrants it.\n\nSound judgment when teams have competing priorities. You earn trust, explain difficult decisions, and work constructively through disagreement.\n\nA hands-on, collaborative approach with strong attention to detail and follow-through.\n\nPreferred qualifications:\nExperience owning compute allocation at an AI research lab or another organization with substantial shared computing resources.\n\nFamiliarity with GPU clusters, distributed training, scheduling, and workload placement.\n\nUnderstanding of how networking, storage, reliability, and hardware differences affect usable capacity.\n\nExperience building tools or analyses for capacity forecasting, allocation, or utilization.\n\nExperience mentoring researchers, engineers, or technical program managers in compute planning and resource management.\n\nWe encourage you to apply even if you don’t meet every preferred qualification.\nLogistics\nLocation: San Francisco, California.\n\nCompensation: [Add approved salary range.]\n\nVisa sponsorship: We support visa sponsorship and work with candidates through the process.\n\nBenefits: Health, dental, and vision coverage; unlimited PTO; paid parental leave; and relocation support as needed.","description_format":"text","description_chars":4945,"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":"2026-10-06T21:50:09Z"}],"visa":[{"country":"US","licensed_sponsor":true,"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":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":29,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/thinking-machines-lab-technical-program-manager-supercomputing","json_url":"https://alion.io/job/thinking-machines-lab-technical-program-manager-supercomputing.json","meta":{"generated_at":"2026-10-11T04:33:49Z","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","counted_by":"address","units_charged":1,"used_today":3361,"day_limit":5000,"remaining_today":1639,"minute_limit":60,"resets_at":"2026-10-12T00:00:00Z"}},"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":14382},"rest":"https://alion.io/mcp/rest/get_company?id=14382"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fthinking-machines-lab-technical-program-manager-supercomputing"},{"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%2Fthinking-machines-lab-technical-program-manager-supercomputing"},{"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%2Fthinking-machines-lab-technical-program-manager-supercomputing"},{"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-technical-program-manager-supercomputing\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fthinking-machines-lab-technical-program-manager-supercomputing"}]}