Director, Enterprise Account Management, Life Sciences

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