Product Lead, Software/Applied AI
Lila Sciences - Cambridge, MA USA; San Francisco, CA USA
Posted Apr 7, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Offered From the posting source checked Jun 20, 2026
- Verification
- Not verified
- Salary
- $180K-$288K From the posting source checked Jun 20, 2026
- 401(k) match
- Not verified
Was this benefit information wrong? Tell us.
Market context
- U.S. role benchmark (BLS OEWS)
- $102,662 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +5.4% - Faster than average
128% above the BLS role benchmark for product management aggregate.
Matched to SOC 11-1021 - Product Management aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Equity
- Offered From the posting source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Product Lead, Software/Applied AI Cambridge, MA USA; San Francisco, CA USA Overview of the role: As the Product Manager for Software / Applied AI at Lila, you will help build the first truly AI-native system of record for scientific discovery. We are looking for product leaders who can dive deep into a specific domain and own it completely. Whether your strengths align best with our core software platform or our cutting-edge agentic science offerings, you will be embedded with a dedicated scrum team to solve complex, full-stack challenges. You will sit at the intersection of commercial, engineering, design, and scientific research, building the tools that accelerate the next generation of scientific discovery. We are hiring for a wide range of function areas, and seniority levels - final title and level will be decided at the offer stage. Priority areas include 1) data, 2) ML / computational tooling, 3) scientific agents, and 4) harness & evals. Location: Ability to work from our San Francisco, CA; or Cambridge, MA office 3-5 days per week. Responsibilities: Deep Domain Ownership: We will match your unique product strengths to a specific scrum team, where you will go deep, define the roadmap, and become the absolute subject matter expert for that product area. That said, we operate as one product team and collaborate closely. Full-Stack Product Execution: From designing user-facing scientific workflow tools to shaping the underlying data infrastructure that powers our AI models, you will define requirements and guide execution across the entire stack. The
Read the full description at job-boards.greenhouse.io. FewerJobs shows a preview and links to the original posting.
Apply link not verified; last-live date unavailable.
What verified means
Verified means a displayed claim has field-level provenance to a source FewerJobs pulled: a government or employer source, or the original job posting. Posting-sourced facts are employer-stated and are labeled separately from government records.
Related jobs
-
Director, Product Management - AI Observability
Datadog - New York, New York, USA
-
Principal Product Manager, Data and AI Products
Blackbaud INC - Remote - Anywhere - USA
-
Staff Product Manager, AI
Navan INC - Palo Alto, CA
-
Senior Vice President, Applied AI Product Manager
BNY Mellon - New York, NY, United States