Lilasciences

Lilasciences

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.

Responsibilities

  • 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.

Compensation

  • 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

Visa & Work Authorization

  • al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
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This listing is sourced directly from Lilasciences's careers page and normalized into a canonical job model.