Product Lead – Therapeutics

🚀 About Lila

Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.  We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai

At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way.

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, please apply.

Lila Sciences is looking for a Product Lead for Therapeutic Products—a strategist‑builder who can turn visionary ideas into shipped products and capabilities. Reporting to the Senior Director of Therapeutic Product, you will drive the product vision and roadmap for products and platforms focused on drug development, molecular profiling, and advancing scientific intelligence.

• Drive the strategic direction for turning our AI capabilities toward breakthrough solutions in drug discovery and biological characterization
• Translate strategic objectives into target product profiles (TPPs) and development campaigns that guide science and engineering teams and enable breakthrough innovations in life sciences
• Lead customer and internal‑user discovery—serve as the technical link to external customers and partners in the life sciences
• Translate insights into clear product requirements, acceptance criteria, and experiment plans that guide engineering and science teams.
• Drive product execution from concept to launch while leading cross-functional teams across science, machine learning, automation, and data engineering
• Manage resource allocations (budget, compute, lab access, people) and decisions against a complex set of priorities (e.g., focus of experiments between AI model training and near-term partnership requests)
• Define clear success metrics and milestones, and clearly communicate progress against them to the company, including executive leadership

• MS, PhD, or equivalent experience in biology, biochemistry, bioengineering, chemical engineering, or related field, with a strong grounding in experimental science
• 5+ years as a Product Manager or Product Lead building new and/or experimental products in drug discovery, molecular profiling, machine learning, or data science
• Deep understanding of drug discovery and development processes, molecular and cellular research tools, and wet and dry lab workflows
• Experience defining and executing target product profiles (TPPs) for new drug products, molecular diagnostics, life sciences research tools, or scientific data platforms
• Experience with managing extremely complex, multidisciplinary projects using project management best practices
• Relentlessly output-focused—driven by impact against our mission and program goals, not by doing tasks, owning decisions, or being in meetings
• Able to influence without authority and lead cross-functional teams effectively
• Highly collaborative and empathetic
• High degree of comfort with ambiguity and able to adapt to changing teams and needs
• Able to create small, achievable units of work from large, complex, and ambiguous goals
• Excellent communication and presentation skills, capable of conveying technical information to any audience

• Experience with automated/self-driving labs and experience working with (not necessarily having run) machine learning in drug discovery or biological research
• Following the rapid evolution of LLMs and other AI solutions and have thoughts and opinions on how this will impact the future of scientific discovery and product development

🌈 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.

🤝 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.