Research Product Manager, Post Training

Lila Sciences invites applications for a full-time Research Product Manager, Post Training based in Cambridge, MA USA or San Francisco, CA USA to guide the evolution of foundational model capabilities that transform research advances into meaningful scientific results.

The Opportunity

In the Research Product Manager, Post Training role at Lila Sciences you will establish the forward-looking plan for our primary foundational models by identifying the precise abilities and performance levels each release should deliver. You will gather and combine signals from scientific domain groups, product teams, commercial possibilities, and the wider competitive model environment into a ranked set of targets. Operating where research aspirations meet practical application, this work ensures every model version focuses on the most valuable capabilities and supports confident progression from experimentation into operational status.

Core Duties

• Direct the capability roadmap for our core foundational model releases by defining and ranking the specific abilities each version should address, supported by clear and justifiable reasoning.
• Convert insights from domain science teams, product counterparts, and commercial partners into explicit, measurable model specifications that research staff can implement.
• Carry out continuous evaluation of competing and leading models in both general and scientific categories, converting benchmark findings and identified shortfalls into roadmap choices.
• Create the assessment standards and achievement indicators that verify when a requested capability has been realized.
• Determine the promotion requirements that models must satisfy before entering production use.
• Work closely with research leads and model-training specialists to order capability tasks in a practical sequence given limits on compute resources, data, and schedules.
• Sustain open records of capability goals, evaluation outcomes, and release determinations so the basis for each model decision remains clear and revisit-able.

What You Bring

• Bachelor’s or master’s degree in computer science, engineering, or an allied area, or equivalent practical experience building AI and machine learning systems.
• Established product management background with AI or ML products, ideally including ownership of a model, platform, or capability roadmap in a scientific setting.
• Deep familiarity with the training, assessment, and release practices of foundational or large models, paired with the capacity to collaborate authoritatively with researchers and make solid prioritization decisions.
• Demonstrated ability to turn stakeholder requirements and competitive observations into well-defined, measurable specifications.
• Experience setting release standards and quality thresholds for production systems or models.
• Strong written and verbal communication skills along with a history of guiding decisions across functions.
• Additional value for product management work with foundation models, frontier models, or AI platforms; prior service in an AI-centered research organization or within life sciences or materials science; knowledge of model evaluation methods, benchmarking approaches, and evaluation infrastructure; and readiness to function effectively in fast-paced, uncertain early-stage research contexts.

Working at Lila Sciences

Lila Sciences creates artificial intelligence systems that address major scientific challenges through self-directed learning rather than fixed expert rules. The company unites advanced models with proprietary laboratory instruments into a unified scientific platform that conducts the full discovery cycle independently, accelerating progress in medicine, materials, and energy. We are guided by principles of honesty, reliability, exploration, determination, and speed while pursuing problems of lasting importance. The full-time Research Product Manager, Post Training opportunity in Cambridge, MA USA or San Francisco, CA USA provides base pay between $204,000 and $310,000 USD together with bonus potential and early-stage equity that reflect individual background and expected contribution. Full-time U.S. employees receive medical, dental, and vision plans; employer-funded life and disability coverage; flexible time off plus generous company holidays; paid parental leave; educational support; commuting assistance that includes bike-share access for those working on site; and a company-supported lunch program. Regional packages apply for employees outside the United States. We encourage applications even when every listed qualification is not yet met.

Applying for This Role

To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.