Your Impact at LILA

Lila Sciences is hiring a Director, Enterprise Account Management, Life Sciences to own our most strategic pharma relationships. You will carry a named portfolio of top 20 pharma 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 target discovery, small molecule, and biologics. Your buyers are senior and technical, spanning discovery, translational, platform, data and AI, and BD and licensing, 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 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 top 20 pharma 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 discovery, translational, platform, data and AI, and BD and licensing 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 life 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 top 20 pharma or comparable accounts
Degree in biology, chemistry, biochemistry, bioengineering, or adjacent fields, or equivalent experience
Fluency across the pharma R&D value chain, from discovery through early development
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 life sciences, including target identification, generative models for molecules and biologics, predictive ADMET, and computational biology
Direct experience with pharma enterprise R&D buying cycles, including alliance and partnership structures
Prior experience at a frontier AI, biotech, 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 life 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 USD

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.

Expected Base Salary Range 168000 - 272000 USD

Lila Sciences

Director Enterprise Account Management - Life Sciences

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Lila Sciences

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