Job description

Your Impact at LILA As the Head of Software Produc t   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.

Requirements

Must-haves

Your Impact at LILA
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.
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.
Experience with automated or self-driving labs.
Experience building complex agentic AI strategies.

Nice-to-haves

Bonus Points For

Application prep

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Keywords to mirror

aiml

Platform: greenhouse
Effort: quick

Benefits

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Dental

Vision

Parental Leave