Lila Sciences

Lila Sciences

Research Product Manager, Post Training

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

Sponsorship not specified$204k-$310kDetected 50 days ago
Machine LearningProduct ManagementRecruitingResearchCommunication

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

10 transfer filings in the last year, covering 10 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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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.

Nice to have

  • 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.
  • 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.
  • A 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.
  • A 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.

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

Benefits

  • Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region.
  • U.S. Benefits.
  • International Benefits.

Company info

  • 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.

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

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