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Lila Sciences

AI-powered scientific discovery for medicines

Director Enterprise Account Management - Physical Sciences

Account ManagementConfirmed live in the last 24 hours
Full-timeCambridge, MA, USAIn-person

About the Job

Requirements

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

Responsibilities

  • 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 research and development leadership and C-suite level.
  • Lead complex, multi-quarter pursuits across research and development, process and manufacturing science, data and artificial intelligence, 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 responses for strategic accounts, packaging polished customer-facing deliverables.
  • Shape enterprise commercial strategy, including qualification standards, deal structures, and pricing input.
  • Translate the artificial intelligence and physical sciences partnership landscape into implications for Lila's positioning.

Desired Qualifications

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

About the Company

Lila Sciences

AI-powered scientific discovery for medicines

Lila.ai uses artificial intelligence to speed up scientific discovery in medicines and advanced materials. The system ingests large sets of scientific data, experimental results, and literature to identify patterns, generate hypotheses, and guide research programs. It differentiates itself by tackling deep scientific problems at scale and combining AI with domain expertise, rather than offering generic tools. The goal is to help humanity by delivering new medicines and materials that solve major biological and materials challenges through data-driven discovery.

Company size
501-1,000
Company stage
Series A
Total funding
$550M
Headquarters
Cambridge, MA
Founded
2024

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