Research Product Manager, Post Training

The role

You will own the capability roadmap for Lila's core foundational models. You will translate input from science, product, and commercial teams into measurable model requirements.

What you will do

• Own the capability roadmap for Lila's core, foundational models
• Translate input from domain/science teams, product organization, and commercial stakeholders into measurable model requirements
• Perform ongoing analysis of competitive and frontier models
• Define evaluation criteria and success metrics
• Establish gating criteria for promoting models to production
• Partner with research and model-training leads to sequence capability work
• Maintain transparent documentation of capability targets, evaluation results, and release decisions

Required qualifications

• 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
• Strong understanding of how foundational or large models are trained, evaluated, and released
• 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

Nice to have

• Product management experience with foundation models, frontier models, or AI platforms
• Experience working at an AI-first research organization or in life sciences or materials science
• Familiarity with model evaluation methodologies, benchmarking, and evaluation infrastructure
• Comfort operating in fast-moving, ambiguous, early-stage research environments

Benefits

• Medical, dental, and vision coverage
• Employer-paid life and disability insurance
• Flexible time off with generous company wide holidays
• Paid parental leave
• Educational assistance program
• Commuter benefits
• Company subsidized lunch program

About the company

Lila Sciences is building Scientific Superintelligence to solve humankind's greatest challenges. The company builds systems that can learn for themselves by combining advanced AI models with proprietary AI Science Factory instruments.