Lilasciences
Head of Software Product
Cambridge, MA USA; San Francisco, CA USA. Posted 7 months ago
The role
You will serve as the primary architect of the software product strategy. You will lead the development of the Agentic Superscience software platform to reinvent the scientific method through AI.
What you will do
- Lead the roadmap and build of the foundational software platform for AI agents.
- Create an integrated framework for Software, ML, and Wet-lab teams.
- Deliver reliable, intuitive interfaces and high-performance endpoints.
- Own the product lifecycle from discovery to delivery.
- Implement frameworks for prioritization.
- Build frameworks for high-level communication.
- Serve as the authoritative voice for the software product.
Required qualifications
- 15+ years of experience in Product Management.
- Track record of shipping complex, multidisciplinary software systems using a modern tech stack.
- Experience building software with AI at its core and must be AI-native.
- Deep understanding of the scientific method via schooling in a scientific domain or from experience building software for scientists.
- Demonstrated experience building and leading large, high-performing teams in fast-paced, high-stakes environments.
- A drive for impact against mission goals.
- High degree of comfort in the ambiguity of a ‘founding’ environment.
- Capable of communicating technical and scientific concepts to any audience.
Nice to have
- Experience with automated or self-driving labs.
- Experience building complex agentic AI strategies.
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, including bike share memberships for office based employees
- Company subsidized lunch program
About the company
Lila Sciences is building Scientific Superintelligence to solve humankind's greatest challenges. The company combines advanced AI models with proprietary AI Science Factory instruments into an operating system for science.