Lila Sciences

Research Product Manager, Post Training

Cambridge, MA USA; San Francisco, CA USA · Full-time

Sponsorship not specified$204k-$310kDetected 2 days ago

Machine LearningProduct ManagementRecruitingResearchCommunication

About the role

Your Impact at LILA Lila's foundational models are the engine behind scientific superintelligence.
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.

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges.
Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
In this role, you will own the capability roadmap for Lila's core foundational model releases.
What You'll Be Building
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.
Partner closely with research and model-training leads to sequence capability work realistically against compute, data, and timeline constraints.

We offer competitive base compensation with bonus potential and generous early-stage equity.
USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$204,000 - $310,000 USD

al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status

This listing is sourced directly from Lila Sciences's careers page and normalized into a canonical job model.