{"id":177640,"url":"https://alion.io/job/lila-research-product-manager-post-training","title":"Research Product Manager, Post Training","company":{"id":65163,"name":"Lila Sciences","domain":"lila.ai","url":"https://alion.io/company/lila-ai","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":89,"open_postings":40,"ghost_share":0,"stale_share":0.25,"repost_share":0,"time_to_fill_p50_days":86,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Product","role_family":"Product","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cambridge, United States","San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":204000,"max":310000,"currency":"USD","period":"year","gross":null,"usd_annual":310000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2026-07-17T13:53:56Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-29T01:01:35Z","board_verified":true,"closed_at":null,"days_open":103,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":102},"description":"Your Impact at LILA\nLila’s foundational models are the engine behind scientific superintelligence. We are looking for a Research Product Manager to set the vision for what Lila’s foundational models can achieve next - defining the capabilities and performance that turn breakthrough research into real-world scientific impact.\nIn this role, you will own the capability roadmap for Lila’s core foundational model releases. You will synthesize signal from domain science teams, product, commercial opportunities, and the competitive model landscape into a clear, prioritized roadmap of model capabilities. Sitting at the seam between research ambition and real-world impact, your work will help ensure every model we ship is aimed at the capabilities that matter most, and that research moves into production with confidence.\nWhat You'll Be Building\nOwn the capability roadmap for Lila's core, foundational models: define and prioritize the specific capabilities each release should target, with an opinionated and defensible rationale for those choices.\nTranslate input from domain/science teams, the product organization, and commercial stakeholders into concrete, measurable model requirements that researchers can build against.\nPerform ongoing analysis of competitive and frontier models - both general-purpose and scientific - turning benchmark results and capability gaps into roadmap decisions.\nDefine the evaluation criteria and success metrics that determine whether a target capability has actually been achieved.\nEstablish the gating criteria for promoting models to production.\nPartner closely with research and model-training leads to sequence capability work realistically against compute, data, and timeline constraints.\nMaintain transparent documentation of capability targets, evaluation results, and release decisions so the reasoning behind every model is auditable and easy to revisit.\nWhat You'll Need to Succeed\nBachelor's or Master's degree in Computer Science, Engineering, or a related field - or equivalent hands-on experience with AI/ML systems.\nProven product management experience for AI/ML products, ideally including ownership of a model, platform, or capability roadmap in a scientific domain.\nA strong understanding of how foundational or large models are trained, evaluated, and released - with the ability to engage credibly with researchers and make sound prioritization calls.\nA track record of translating stakeholder needs and competitive signal into clear, measurable requirements.\nExperience defining release criteria and quality gates for a production system or model.\nExcellent written and verbal communication, with a track record of driving cross-functional decisions.\nBonus Points For\nProduct management experience with foundation models, frontier models, or AI platforms.\nExperience working at an AI-first research organization or in life sciences or materials science.\nFamiliarity with model evaluation methodologies, benchmarking, and evaluation infrastructure.\nComfort operating in fast-moving, ambiguous, early-stage research environments.\n\nCompensation\nWe offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\nU.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\nInternational Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\nExpected Base Salary Range\n$204,000—$310,000 USD\nAbout LILA\nLila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\nLILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\nGuided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.\nWe’re All In\nLila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\nInformation you provide during your application process will be handled in accordance with our Candidate Privacy Policy.\nA Note to Agencies\nLila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. 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