Head of Software Product
Company websitelila.ai (Lila Sciences, opens in new tab)
Base salary $400K to $500K
Employer-published annual base salary, USD. Advertised base range in United States
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationUnited States
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
About this job
Your Impact at LILA
As the Head of Software Product you will serve as the primary architect of our software product strategy. You will lead the development of our “Agentic Superscience” software—the foundational platform designed to reinvent the scientific method through AI. Reporting directly to the Chief Revenue & Product Officer, you will be responsible for transforming complex scientific workflows into a scalable, world-class software ecosystem. You will set the roadmap, build the processes, and the culture necessary to deliver Lila’s most critical competitive advantage. As a member of the leadership team, you will play a critical role in shaping the culture, technical strategy, and therapeutic impact of our software.
What You'll Be Building
- The Agentic Platform: Lead the roadmap and build of our foundational software platform that enables AI agents to conduct, analyze, and iterate on complex materials, chemistry, and biology experiments.
- A Cross-Functional Engine: Create the integrated framework that allows Software, ML, and Wet-lab teams to work in a continuous, high-performance loop.
- Customer-Centric Interfaces: Deliver reliable, intuitive interfaces and high-performance endpoints that make scientific superintelligence accessible to diverse users.
- Operational Excellence: Own the product lifecycle from discovery to delivery. Implement robust frameworks for prioritization that balance rapid innovation with enterprise-grade reliability.
- The Product Org & Executive Voice: You will build the frameworks for high-level communication, serving as the authoritative voice for the software product and providing the strategic insights that will influence Lila’s overall trajectory.
Qualifications
- 15+ years of experience in Product Management, with a track record of shipping complex, multidisciplinary software systems (0-to-1 and scaling phases) using a modern tech stack.
- Experience building software with AI at its core and must be AI-native.
- Deep understanding of the scientific method, either 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, with a high degree of comfort in the ambiguity of a ‘founding’ environment.
- Capable of communicating technical and scientific concepts to any audience, from engineers to investors.
Bonus Points For
- Experience with automated or self-driving labs.
- Experience building complex agentic AI strategies.
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
$400,000—$500,000 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.
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.
Source: Lila Sciences on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($400,000) is above 99% of the 5,063 Software Engineering roles in California listed on this site; 1 other lists the same floor. Their median floor is $176,600; the middle half runs from $149,365 to $204,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
This listingHead of Software Product$400K to $500K
Principal Scientist / Associate Director, Agentic AI Research for Materials Science$288K to $420K
Senior / Principal ML Scientist, Foundation Models for Life Sciences$268K to $384K
Senior/Principal ML Scientist, Translational Biology$268K to $384K
Senior ML Scientist, Biological Systems$268K to $358K
Senior ML Scientist, AI for Protein Engineering$268K to $358K
Director / Senior Director, Intellectual Property, Life Sciences$262K to $400K
Chart as a table
| Role | Published base |
|---|---|
| Head of Software Product (this listing) | $400K - $500K |
| Principal Scientist / Associate Director, Agentic AI Research for Materials Science | $288K - $420K |
| Senior / Principal ML Scientist, Foundation Models for Life Sciences | $268K - $384K |
| Senior/Principal ML Scientist, Translational Biology | $268K - $384K |
| Senior ML Scientist, Biological Systems | $268K - $358K |
| Senior ML Scientist, AI for Protein Engineering | $268K - $358K |
| Director / Senior Director, Intellectual Property, Life Sciences | $262K - $400K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-04-08
Where this pay comes from
Location as the employer wrote it: Cambridge, MA USA; San Francisco, CA USA
USD 400,000 – 500,000 · interval unstated · pay_input_range · Expected Base Salary Range · base-labelled (R1: Base Salary)
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.