{"id":255903,"url":"https://alion.io/job/reflection-ai-research-program-manager-research-infrastructure","title":"Research Program Manager - Research Infrastructure","company":{"id":48184,"name":"Reflection AI","domain":"reflection.ai","url":"https://alion.io/company/reflection-ai","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":84,"open_postings":44,"ghost_share":0.182,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":85,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Management","role_family":"Management","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States","San Francisco, United States","London, United Kingdom"],"countries":["US","GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":123000,"max_usd":230000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":3691},"experience_years_min":7,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Megatron-LM","optional":false},{"name":"Post-training","optional":false},{"name":"Pre-training","optional":false}],"status":"live","first_seen_at":"2026-04-30T22:22:32Z","employer_posted_date":"2026-04-30","last_verified_at":"2026-10-13T12:20:35Z","board_verified":true,"closed_at":null,"days_open":165,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":165},"description":"Our Mission\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\nAbout the Role\nResearch Program Managers at Reflection are high-leverage leaders and operators who embed directly with research and infrastructure teams to accelerate the pace of frontier model development. They are not project trackers. They are force multipliers who bring clarity to ambiguity, drive decisions when the path forward is unclear, and ensure that the work happening across multiple teams connects into a coherent whole.\nThis role focuses on scaling our research infrastructure to support massive, frontier-scale training runs across pre-training, mid-training, and post-training. You will work closely with teams building on training libraries like Megatron, driving the programs that turn raw clusters into reliable, high-performance training environments. Your job is to make sure the infrastructure we build works end-to-end, that teams are unblocked, and that we can scale with confidence as our ambitions grow.\nYou bring a first-responder mentality. When things go sideways, you don't wait to be asked. You jump in, assess the situation, cut through noise, align the people who need to be aligned, and drive resolution.\nWhat You'll Do\nOwn cross-functional programs spanning training infrastructure and cluster reliability across pre-training, mid-training, and post-training workstreams.\n\nDrive end-to-end coordination scaling our training stack alongside engineering leads and external partners.\n\nJump into active incidents and escalations to triage, coordinate response, and drive resolution across teams. Champion a culture of blameless post-mortems and continuous learning, turning every incident into a concrete improvement to our systems and processes.\n\nPartner with infrastructure and research engineering leads to identify bottlenecks, define priorities, and ensure that infrastructure investments are directly tied to research velocity.\n\nBuild and maintain visibility into training run health, cluster reliability, and infrastructure performance so that leadership and teams have the context they need to make fast, informed decisions.\n\nCreate lightweight, durable processes for cross-team handoffs, config management, checkpoint workflows, and other coordination-heavy touchpoints that currently rely on ad hoc communication.\n\nTranslate technical complexity into clear status updates and decision frameworks for engineering leadership and executives.\n\nAbout You\n7+ years of experience in technical program management, research operations, or infrastructure coordination, ideally in ML/AI or large-scale distributed systems environments.\n\nDeep technical knowledge to engage with engineers on topics like distributed training frameworks, GPU cluster architecture, scheduler behavior, networking, and storage systems. You don't need to write the code, but you need to understand the systems to “speak the language”, i.e., to ask the right questions and identify risks early.\n\nProven ability to operate effectively in high-ambiguity, fast-moving environments. You create structure where there is none and drive clarity without waiting for permission.\n\nTrack record of managing complex, multi-team programs with competing priorities and hard deadlines. You know how to make tradeoffs and you communicate them clearly.\n\nStrong stakeholder management skills across both deeply technical ICs and senior leadership. You build trust by being reliable, direct, and well-informed.\n\nComfortable operating in crisis mode. You stay calm under pressure, you know how to prioritize when everything is on fire, and you follow through on the other side.\n\nExcited to build from zero to one. We are a small, fast-moving team and this role will help define how Research Program management Works at Reflection.\n\nMotivated by enabling researchers and engineers to build the world's most capable open-weight AI systems.\n\nWhat We Offer:\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\nTop-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\nStock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\nHealth & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\nMeals: Lunch and dinner are provided in the office daily.\n\nLife & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\nVacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\nSponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\nTeam building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice","description_format":"text","description_chars":5945,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity","Parental leave","Stock options"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Foundation Models","AI Research Labs"],"lifecycle":[{"event":"open","at":"2026-09-05T11:20:51Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 35","filings_12m":35,"filings_prev_12m":4,"green_card_filings_12m":0,"median_offered_wage_usd":188214,"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":27,"band":"fade","label":"Fading","p_open":1,"p_active":0.747,"p_room":0.36,"age_days":165,"expected_fill_days":85,"reasons":["conf:0","velocity","win:tail","crowd:"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/reflection-ai-research-program-manager-research-infrastructure","json_url":"https://alion.io/job/reflection-ai-research-program-manager-research-infrastructure.json","meta":{"generated_at":"2026-10-13T15:56:25Z","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":24148,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":48184},"rest":"https://alion.io/mcp/rest/get_company?id=48184"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Freflection-ai-research-program-manager-research-infrastructure"},{"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%2Freflection-ai-research-program-manager-research-infrastructure"},{"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%2Freflection-ai-research-program-manager-research-infrastructure"},{"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/reflection-ai-research-program-manager-research-infrastructure\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Freflection-ai-research-program-manager-research-infrastructure"}]}