Director, Enterprise Account Management, Life Sciences
Cambridge, MA USA · One Charles Park, Cambridge · USD 168,000-272,000 · 10+ years experience · Onsite · Posted Oct 5, 2026
At a glance
- Experience
- 10+ years experience
- Workplace
- Onsite
- Location
- Cambridge, MA USA · One Charles Park, Cambridge
- Salary
- USD 168,000-272,000 · Base salary
About the role
- 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.
- This is a senior individual contributor role where you will set the standard for how Lila engages its largest customers and shape commercial strategy well beyond your own book.
Responsibilities
- 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
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
Preferred 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
Benefits
- medical, dental, and vision coverage
- employer-paid life and disability insurance
- flexible time off with generous company wide holidays
- paid parental leave
- educational assistance program
- commuter benefits, including bike share memberships for office based employees
- company subsidized lunch program
- bonus potential
- generous early-stage equity
Skills
- AI
