Research Product Manager, Post Training
Hybrid (Cambridge, MA; San Francisco, CA)$204k - $310kfull-timePosted 3mo ago
About the role
Role to set the vision and roadmaps for Lila’s foundational models, translating research ambition into production-ready capabilities and measurable success metrics.
Responsibilities
- Own 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.
- Translate input from domain/science teams, the product organization, and commercial stakeholders into concrete, measurable model requirements that researchers can build against.
- Perform ongoing analysis of competitive and frontier models - both general-purpose and scientific - turning benchmark results and capability gaps into roadmap decisions.
- Define the evaluation criteria and success metrics that determine whether a target capability has actually been achieved.
- Establish the gating criteria for promoting models to production.
- Partner closely with research and model-training leads to sequence capability work realistically against compute, data, and timeline constraints.
- Maintain transparent documentation of capability targets, evaluation results, and release decisions so the reasoning behind every model is auditable and easy to revisit.
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field - or equivalent hands-on experience with AI/ML systems.
- Proven product management experience for AI/ML products, ideally including ownership of a model, platform, or capability roadmap in a scientific domain.
- 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.
- Track record of translating stakeholder needs and competitive signal into clear, measurable requirements.
- Experience defining release criteria and quality gates for a production system or model.
- Excellent written and verbal communication, with a track record of driving cross-functional decisions.
Skills
Required:Capability roadmappingRequirements translationEvaluation planningGating for productionCross-functional collaborationCommunication
Benefits
- Full-time U.S. employees receive comprehensive benefits including medical, dental, vision; employer-paid life and disability insurance; flexible time off with holidays; paid parental leave; educational assistance; commuter benefits; bike share memberships; company subsidized lunch.
- International Benefits: tailored programs for non-U.S. employees; USD salary ranges apply only to U.S.-based positions; international salaries set to local market.
Last updated Jul 22, 2026. Interested? Apply on the company site.
About Lila Sciences
Pioneering Scientific Superintelligence
Pioneering Scientific Superintelligence to solve humankind’s greatest challenges.
Scientific SuperintelligenceAIAutonomous LabsLife SciencesChemical SciencesMaterials Sciences
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