Enterprise Account Lead, Life Sciences

Enterprise Account Lead, Life Sciences

We are seeking an Enterprise Account Lead, Life Sciences to define how top 20 pharma and leading biotech companies engage with the world's first platform for scientific superintelligence. You'll be a foundational member of the team responsible for building and scaling our enterprise sales organization and driving deal execution for Lila's AI-driven drug discovery and life sciences platform.

• Build and grow a qualified pipeline against clear revenue targets, from lead generation through close, with accurate forecasts and deal records.
• Lead complex, multi-quarter sales cycles across discovery, translational, platform, data/AI, BD/licensing, and business stakeholders at top 20 pharma accounts.
• Own a portfolio of pharma accounts end-to-end, building executive relationships across R&D, BD/licensing, and IT, and running whitespace, expansion, and renewal planning.
• Open new doors across the biotech ecosystem, sourcing opportunities and shaping a repeatable mid‑market motion as it maturing.
• Partner with product, science, and leadership to scope high-value engagements, unblock technical inputs, and keep deals moving.
• Own technical RFI and DDQ response, routing scientific questions to internal experts and packaging customer-facing deliverables.
• Build and maintain the revenue CRM, BD tooling, and a repeatable GTM playbook including qualification criteria, battle cards, and proposal templates.

• BS, MS, PhD, or equivalent experience in biology, chemistry, biochemistry, bioengineering, or adjacent fields.
• 2-5+ years in a client‑facing role where you owned outcomes for customers, across pharma BD or alliance management, life sciences strategy consulting, pharma‑tech enterprise sales or pre‑sales, customer success, or applied science.
• Comfortable in a fast‑moving, technical, cross‑functional environment where the process, materials, and role itself are still being shaped.
• Strong written and verbal communication paired with disciplined execution, comfortable managing multiple live accounts in parallel with limited oversight.
• Track record of carrying multi‑quarter pursuits where momentum comes from sustained stakeholder orchestration and proof‑of‑value milestones.
• Collaborative, low‑ego working style, able to build trust quickly with PMs, scientists, engineers, and product leaders.
• Hands‑on use of AI tools in day‑to‑day workflows and curiosity about how AI and autonomous science will reshape life science.

• Working familiarity with AI/ML applied to life sciences: target identification, generative models for molecules and biologics, predictive ADMET, computational biology.
• Direct exposure to enterprise R&D buying cycles in pharma, biotech, diagnostics, or therapeutics.
• Prior experience in frontier AI (SaaS, biotech, robotics, or data) selling into technical buyers.
• Prior experience as a founder or early GTM/commercial hire helping define early processes, playbooks, and collateral.
• A point of view on where AI is and is not useful in life sciences R&D today.

Compensation includes 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: $88,000 USD - $144,000 USD

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…