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.
About 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.
Skills Required
- 10+ years of experience in enterprise sales, business development, or commercial leadership, including strategic account ownership
- Track record of closing large, multi-quarter enterprise agreements with major materials, chemicals, energy, or semiconductor companies
- Degree in chemistry, materials science, chemical engineering, physics, or an adjacent field, 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 laboratory capabilities into credible scientific and commercial narratives
- Comfort operating while the category, product, and commercial motion are still being defined
- Hands-on use of AI tools in daily work
- Familiarity with AI and machine learning applied to physical sciences, including materials property prediction, generative materials design, high-throughput experimentation, and simulation
- Experience with enterprise R&D buying cycles in industrial companies, including joint development and partnership structures
- Experience at a frontier AI, advanced materials, or platform company selling to technical buyers
- Early go-to-market or commercial hiring experience defining playbooks and deal structures
- Clear perspective on where AI is and is not useful in physical sciences R&D
What We Do
Lila is a technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method.
