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Salary: USD 168,000 - 272,000 / annual
Lila Sciences is hiring a Director, Enterprise Account Management for Life Sciences to own the company's most strategic pharma relationships. You will carry a named portfolio of top 20 pharma accounts and be directly accountable for the revenue they generate, from multi-year account strategy through negotiation and close.
Lila Sciences is building Scientific Superintelligence™—a platform combining advanced AI models with proprietary AI Science Factory™ instruments to create an operating system for science that executes the entire scientific method autonomously. The platform is applied to target discovery, small molecule development, and biologics. Your buyers are senior and technical, spanning discovery, translational, platform, data and AI, and business development and licensing functions, with procurement and legal involved in 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.
Key responsibilities include:
- 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 leadership
- 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
Requirements:
- 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 qualifications:
- 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
