Director, Enterprise Account Management, Physical Sciences

The role

You will own a named portfolio of strategic physical sciences accounts and be accountable for the revenue they generate. You will build multi-year account strategies and negotiate large enterprise agreements for a scientific superintelligence platform.

What you will do

• Own a named portfolio of strategic physical sciences accounts end to end
• Build and execute multi-year account strategies
• Establish and maintain executive relationships at the R&D leadership and C-suite level
• Lead complex, multi-quarter pursuits across various stakeholders
• Negotiate and close large enterprise agreements
• Maintain accurate forecasts and surface tradeoffs, priorities, and risks
• Partner with product and science to scope high-value engagements
• Own technical RFI and DDQ response for strategic accounts
• Shape enterprise commercial strategy
• Translate the AI and physical sciences partnership landscape into implications for Lila's positioning

Required qualifications

• 10+ years in enterprise sales, business development, or commercial leadership, including ownership of strategic accounts
• Track record closing large, multi-quarter enterprise agreements with major materials, chemicals, energy, or semiconductor companies
• Degree in chemistry, materials science, chemical engineering, physics, or adjacent fields, or equivalent experience
• Fluency across the physical sciences R&D value chain, from discovery and formulation through scale-up
• Proven executive presence with R&D leadership and C-suite buyers
• Ability to translate AI and autonomous lab capability into credible scientific and commercial narratives
• Comfortable operating where the category, product, and commercial motion are still being defined
• Hands-on use of AI tools in daily work

Nice to have

• Working familiarity with AI and ML applied to physical sciences, including materials property prediction, generative materials design, high-throughput experimentation, and simulation
• Direct experience with enterprise R&D buying cycles in industrials, including joint development and partnership structures
• Prior experience at a frontier AI, advanced materials, or platform company selling to technical buyers
• Early GTM or commercial hire experience defining playbooks and deal structures
• A clear point of view on where AI is and is not useful in physical sciences R&D today

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.