Enterprise Account Lead, Life Sciences

What You'll Be Building

• 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 matures.
• 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.

What You'll Need to Succeed

• 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.

Bonus Points For

• 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

• We offer competitive base compensation with bonus potential and generous early-stage equity.
• Your final offer will reflect your background, expertise, and expected impact.

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.

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.