---
title: 'Director, Materials AISF Program Lead at Lila Sciences'
canonical: 'https://feeny.ai/job/director-materials-aisf-program-lead-lila-sciences-cambridge-rnejntewennn'
type: 'job'
last_seen: '2026-09-11'
---

# Director, Materials AISF Program Lead at Lila Sciences

- **Company:** Lila Sciences
- **Location:** Cambridge, MA
- **Compensation:** $320k–$380k
- **Posted:** 2026-08-06
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.greenhouse.io/lilasciences/jobs/4287216009

## Job description

## Your Impact at LILA

We are looking for a Program Lead to own strategy and execution for Lila’s Materials Science AISF program. This role defines how and when the program delivers against Product, Science, and AI priorities, then turns that strategy into clear charters, budgets, timelines, and execution plans.

Materials Science AISFs span vacuum synthesis, characterization, electrochemistry, nanoporous materials, and physics. The Program Lead will connect deep domain expertise, platform strategy, and cross-functional execution to expand the experimental systems that help AI learn materials science at scale.

This role reports to John Gregoire and partners closely with Product, AISF Engineering, Materials Experiment, Scientific Programs, and technical leadership. Success requires clear strategy, decisive execution, and the ability to align teams around complex, high-impact platform priorities.

## What You'll Be Building

- Own the Materials Science AISF program strategy, charter, budget, timeline, and success criteria.
- Translate Product, Science, and AI priorities into executable program plans.
- Build the roadmap for expanding Materials Science AISF capabilities across synthesis, characterization, and closed-loop AI guidance.
- Evaluate proof-of-concept results from Scientific Programs and design pathways for platform integration.
- Form, align, and advise cross-functional project teams executing the Materials Science AISF strategy.
- Resolve resourcing, prioritization, and execution risks in partnership with Product and portfolio leads.
- Represent Materials Science AISF strategy, status, risks, and decisions in technical leadership reviews.

## What You'll Need to Succeed

- PhD or equivalent experience in materials science, condensed matter physics, chemistry, or a closely related field, with industry research experience.
- Track record leading complex, multidisciplinary experimental programs.
- Familiarity with Materials Science AISF domains such as vacuum synthesis, characterization, electrochemistry, or nanoporous systems.
- Experience defining and managing technical roadmaps with real resource, budget, and timeline constraints.
- Strong written and verbal communication, with the ability to translate technical depth into strategic clarity.
- Experience leading through influence across matrixed, cross-functional teams.

Bonus Points For

- Experience with automated or high-throughput experimental platforms, robotics, or lab automation.
- Familiarity with AI/ML-driven experimental design, Bayesian optimization, or closed-loop materials discovery.
- Exposure to atomistic simulation methods and their relationship to experimental programs.
- Experience in a fast-paced research environment such as a national lab, advanced materials startup, or deep-tech company.
- Experience working across shared resources and multiple concurrent programs.

## 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 $320,000—$380,000 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. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.

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](https://www.lila.ai/candidate-privacy-policy-notice).

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.

## About Lila Sciences

## Company Overview
- **One-liner**: Lila Sciences is building the world’s first Scientific Superintelligence platform and autonomous lab, using AI to autonomously generate hypotheses, design and run experiments, and learn from results in real time across life sciences, chemistry, materials, energy, and defense.
- **Entity Type**: Private (Privately Held) – Series A, Seed, and Grant funding rounds
- **Headquarters**: Cambridge, Massachusetts, United States
- **Founded**: Not publicly available (first funding round was Seed in March 2025)
- **Founders**: Not publicly available (founded within Flagship Pioneering’s ecosystem)

## Core Business
- **Primary industry**: AI-powered scientific discovery and autonomous laboratory platforms
- **Target customers**: B2B – research organizations, biotech, pharmaceutical, energy, materials, aerospace, and defense companies
- **Mission**: “Scientific Superintelligence to solve humankind’s greatest challenges” – accelerating discovery across medicine, materials, energy, and defense

## Products & Services
- **LILA Platform (Scientific Superintelligence)**: An AI model and operating system that autonomously executes the entire scientific method – generating hypotheses, designing experiments, running them in physical labs, and learning from results in real time.
- **AI Science Factory™ Instruments**: Proprietary hardware and robotics that serve as the “body” of the platform, enabling automated experimentation at scale.
- **Domain-specific applications**: Tailored solutions for biotech (drug discovery, protein engineering), therapeutics (mRNA, antibodies, cell therapies), energy & environment (clean fuels, catalysis, critical minerals), advanced materials, chemicals, aerospace & defense, and oil & gas.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: Total funding – USD $550.7M (as of LinkedIn data)
  - Seed Round (March 2025): $200M led by Flagship Pioneering
  - Series A (September 2025): $235M led by Braidwell and Collective Global Management
  - Series A (November 2025): $115M led by NVentures (NVIDIA)
  - Grant (January 2026): $671,400 led by ARIA
- **Notable Investors/Partners**: Flagship Pioneering, NVIDIA (NVentures), Braidwell, Collective Global Management, ARIA
- **Growth Signals**: Named #25 on the 2026 CNBC Disruptor 50 List; headcount of 308 employees (monthly growth +10.6%); 122 active job postings; operates in 6 countries (US, UK, Canada, Poland, Spain, Germany)

## Competitive Advantages
- **Proprietary AI model** that consistently outperforms other models across scientific domains in complex analysis and reasoning.
- **Autonomous physical labs** that close the loop between AI hypothesis generation and real-world experimentation.
- **“Team of Teams” operating model** enabling startup speed at scale while maintaining radical transparency and high trust.
- **General platform approach** (inspired by Rich Sutton’s “Bitter Lesson”) rather than narrow domain-specific tools, allowing broad applicability.

## Strategic Focus
- Accelerating discovery across medicine, materials, energy, and defense
- Scaling the autonomous science platform to more industries and use cases
- Building “Scientific Superintelligence” that can tackle humanity’s greatest challenges
- Continued investment in AI research, robotics, and lab automation

## Why Work Here
- **Culture**: Emphasizes velocity, trust, curiosity, truth, and grit. “Think freely, prove precisely.” A high-trust, mission-driven environment where scientists and engineers work side by side.
- **Remote/Hybrid/Office**: Roles are listed in Cambridge, MA; San Francisco, CA; and London, UK. Physical lab presence suggests significant on-site work, but some roles may offer flexibility. Policy not explicitly stated.
- **Notable perks/engineering culture**: Opportunity to work at the frontier of AI and scientific discovery; collaboration with world-renowned experts; access to cutting-edge robotics and AI infrastructure; strong emphasis on learning and teaching (“generous teachers and eager learners”).

## Sources
1. [lila.ai](https://www.lila.ai/)
2. [lila.ai/about](https://www.lila.ai/about)
3. [lila.ai/open-roles](https://www.lila.ai/open-roles)
4. [LinkedIn - Lila Sciences](https://www.linkedin.com/company/lila-sciences)
5. [Greenhouse Job Board](https://job-boards.greenhouse.io/lilasciences/jobs/4246302009)

## Other roles at Lila Sciences

- [ML Engineer, Applied AI](https://feeny.ai/job/ml-engineer-applied-ai-lila-sciences-cambridge-bxk3xbqk91wd) — Cambridge, MA / San Francisco, CA
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- [Senior Data Engineer, Bioinformatics, Cheminformatics, Materials](https://feeny.ai/job/senior-data-engineer-bioinformatics-cheminformatics-materials-lila-sciences-san-kp5d4nbn38vz) — San Francisco, CA
- [Associate Director, App](https://feeny.ai/job/associate-director-app-lila-sciences-cambridge-46qgd5hp866e) — Cambridge, MA / San Francisco, CA
- [Maintenance Engineering Technician II](https://feeny.ai/job/maintenance-engineering-technician-ii-lila-sciences-cambridge-qgp4st6zk9gw) — Cambridge, MA
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