Director, Enterprise Account Management, Physical Sciences

Lila Sciences
Cambridge +1 more
On-site

Who this role is best for

Best suited to enterprise sales professionals with deep technical domain knowledge in physical sciences working in the U.S. and comfortable shaping commercial strategy in a fast-evolving AI space.

Best fit for

  • Enterprise sales veterans with 10+ years of experience in materials, chemicals, or semiconductors
    — “10+ years in enterprise sales, business development, or commercial leadership”
  • Candidates who have closed multi-quarter enterprise agreements with industry leaders
    — “Track record closing large, multi-quarter enterprise agreements”
  • Individuals with a scientific background or proven ability to translate AI into scientific narratives
    — “Ability to translate AI and autonomous lab capability into credible scientific and commercial narratives”

Things to consider

  • The role demands hands-on AI tool usage and may not be suitable for those unfamiliar with AI workflows
    — “Hands-on use of AI tools in daily work”
  • This is a senior individual contributor role, not a leadership position
    — “This is a senior individual contributor role. You will not manage a team”

How to stand out

  • Highlight your experience in shaping commercial strategy for technical enterprise accounts
    — “Shape enterprise commercial strategy, including qualification standards, deal structures, and pricing input”
  • Demonstrate your technical fluency in physical sciences R&D, from discovery to scale-up
    — “Fluency across the physical sciences R&D value chain, from discovery and formulation through scale-up”
  • Emphasize your ability to engage with C-suite and R&D leadership directly
    — “Establish and maintain executive relationships at the R&D leadership and C-suite level”
Pace · SteadyCollaboration · MediumAutonomy · HighDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • revenue generation
  • multi-year account strategies
  • executive relationships
  • large enterprise agreements
Typical background
10+ years in enterprise salesdegree in a technical field

Skills & requirements

Required

Enterprise SalesStrategic Account ManagementNegotiationTechnical SalesCommercial LeadershipAI And Physical SciencesEnterprise R&D Buying Cycles

Preferred

AI And ML Applied To Physical SciencesEnterprise R&D Partnership Structures

Stack & domain

Enterprise SalesBusiness DevelopmentCommercial LeadershipAIAutonomous LabsMaterials DiscoveryFormulationCatalysisProcess DevelopmentKubernetesTerraformCloudformationLeadershipCommunicationCollaborationProblem-solvingTechnical ExpertiseMaterials ScienceChemical EngineeringPhysics

About the role

Original posting from Lila Sciences via Greenhouse

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. 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.

What You'll Be Building

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

What You'll Need to Succeed

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

Bonus Points For

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

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$168,000—$272,000 USDAbout 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.

Source: Lila Sciences careers (Greenhouse)

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