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← Lila Sciences

Technical Program Manager, AI Data

Lila Sciences · Cambridge, MA USA; San Francisco, CA USA · Alewife, Cambridge, MA · San Francisco, CA

CHECKED 13H AGO

Bio & Science AIonsitesenior$192k–$272k
Apply on the lab’s site ↗

At a glance

Highlights

  • Launch and operate teams generating AI data for scientific superintelligence.
  • Serve as interface between project teams and model training organization.
  • Define data delivery standards and QA gates for model training inputs.

What they offer

  • Competitive base compensation with bonus potential and early-stage equity
  • Medical, dental and vision coverage with employer-paid life and disability insurance
  • Flexible time off, company-wide holidays and paid parental leave
  • Educational assistance, commuter benefits and subsidized lunch program

Ideal candidate

A program leader with 8+ years driving cross-functional technical programs who thrives in ambiguity and cares deeply about AI data quality. Exceptional communicator who builds momentum and clarity across research and science teams.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, Life Sciences, or related field
  • 8+ years of program or project management experience in technology or life sciences
  • Proven experience leading cross-functional programs to completion under tight timelines
  • Strong analytical and problem-solving skills turning requirements into program roadmaps
  • Exceptional written and verbal communication with executive-quality documents and updates

Lab profile

About Lila Sciences

Building an autonomous science platform where AI, automation, and biology co-evolve for medicine and materials.

What they build

  • Autonomous Science Platform
  • AI-designed biologics validated in wet-lab
  • Electro-optic materials and photonic devices

Known for

  • Large-scale automated data generation
  • High-throughput protein purification and analytics
  • Protein design and BioML modeling
  • Robotic orchestration and lab simulation
More about Lila Sciences →
Apply on the lab’s site ↗