Research Product Manager, Post Training

Lila Sciences; Cambridge (MA); On-site; USD 204,000 - 310,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Life and disability insurance

Flexible time off

Parental leave

Educational assistance

Commuter benefits

Lunch program

Job summary

Lila Sciences is seeking a Research Product Manager to set the vision for Lila’s foundational models and to define capabilities that translate research into real-world impact. You will own the capability roadmap and synthesize signals from science, product, and commercial teams into prioritized model requirements.

You will define evaluation criteria, establish production gating, and collaborate with research and model-training leads to sequence work within compute and data constraints.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven product management experience for AI/ML products.
• Strong understanding of how foundational models are trained, evaluated, and released.
• Track record translating stakeholder needs into measurable requirements.
• Experience defining release criteria and quality gates for a production system or model.

Responsibilities

• Own the capability roadmap for Lila's core foundational models with defensible rationale for releases.
• Translate input from domain science, product, and commercial teams into concrete, measurable model requirements.

Skills

AI/ML product management

Cross-functional leadership

Prioritization & roadmapping

Education

Bachelor's/Master's in CS or Engineering

Hands-on AI/ML experience

Job description

Your Impact at LILA

Lila’s foundational models are the engine behind scientific superintelligence. 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.

In this role, you will own the capability roadmap for Lila’s core foundational model releases. 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.

What You’ll Be Building

• Own the capability roadmap for Lila's core, foundational models: define and prioritize the specific capabilities each release should target, with an opinionated and defensible rationale for those choices.


• 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.


• 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.


• Partner closely with research and model-training leads to sequence capability work realistically against compute, data, and timeline constraints.


• Maintain transparent documentation of capability targets, evaluation results, and release decisions so the reasoning behind every model is auditable and easy to revisit.

What You’ll Need to Succeed

• 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.

Bonus Points For

• 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.

Compensation

We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.

U.S. Benefits.

• Full‑time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage


• employer‑paid life and disability insurance


• flexible time off with generous company wide holidays


• paid parental leave


• an educational assistance program


• commuter benefits, including bike share memberships for office based employees


• and a company subsidized lunch program

International Benefits.

Full‑time employees outside the U.S. receive a comprehensive benefits program tailored to their region. 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

About LILA

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard‑coding expert knowledge into tools, LILA builds systems that can learn for themselves.

LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.

Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance.

We’re All In

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.

A Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.