New
USD 168000-272000/yr

Director, Enterprise Account Management, Physical Sciences

United KingdomUnited Kingdom·Cambridgeexecutive
OtherAccount Management
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Quick Summary

Overview

Your Impact at LILA Lila Sciences is hiring a Director, Enterprise Account Management, Physical Sciences to own our most strategic materials, chemicals, energy, and semiconductor relationships.

Technical Tools
OtherAccount Management

Lila Sciences is hiring a Director, Enterprise Account Management, Physical Sciences to own our most strategic materials, chemicals, energy, and semiconductor relationships. You will carry a named portfolio of large enterprise accounts and be accountable for the revenue they generate, from multi-year account strategy through negotiation and close.

The platform you are selling is the world's first platform for scientific superintelligence: closed-loop AI and autonomous labs applied to materials discovery, formulation, catalysis, and process development. Your buyers are senior and technical, spanning R&D and innovation leadership, process and manufacturing science, data and AI, and corporate venture or partnership teams, with procurement and legal in the loop on every large agreement.

This is a senior individual contributor role. You will not manage a team, but you will set the standard for how Lila engages its largest physical sciences customers and will shape commercial strategy well beyond your own book, working across product, science, software, and robotics to convert platform capability into signed enterprise contracts.

  • Own a named portfolio of strategic physical sciences accounts end to end, with direct accountability for revenue
  • Build and execute multi-year account strategies covering expansion, whitespace, and renewal
  • Establish and maintain executive relationships at the R&D leadership and C-suite level
  • Lead complex, multi-quarter pursuits across R&D, process and manufacturing science, data and AI, and partnership stakeholders
  • Negotiate and close large enterprise agreements, working with legal, finance, and procurement
  • Maintain accurate forecasts and surface tradeoffs, priorities, and risks to Lila's leadership team
  • Partner with product and science to scope high-value engagements and unblock technical inputs
  • Own technical RFI and DDQ response for strategic accounts, packaging polished customer-facing deliverables
  • Shape enterprise commercial strategy, including qualification standards, deal structures, and pricing input
  • Translate the AI and physical sciences partnership landscape into implications for Lila's positioning
  • 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

~1 min read
  • 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

What We Offer

~1 min read

We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.

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.

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.

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.

Location & Eligibility

Where is the job
Cambridge, United Kingdom
On-site at the office
Who can apply
GB

Listing Details

Posted
October 5, 2026
First seen
October 5, 2026
Last seen
October 5, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
79%
Scored at
October 5, 2026

Signal breakdown

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Director, Enterprise Account Management, Physical SciencesUSD 168000-272000