Lilasciences
Director, Enterprise Account Management, Life Sciences
Cambridge, MA USA. Posted a month ago
The role
You will own a named portfolio of top 20 pharma accounts and be accountable for the revenue they generate. You will build multi-year account strategies and negotiate large enterprise agreements for a scientific superintelligence platform.
What you will do
- Own a named portfolio of top 20 pharma accounts end to end
- Build and execute multi-year account strategies
- Establish and maintain executive relationships at the R&D leadership and C-suite level
- Lead complex, multi-quarter pursuits across various stakeholders
- Negotiate and close large enterprise agreements
- Maintain accurate forecasts and surface tradeoffs, priorities, and risks
- Partner with product and science to scope high-value engagements
- Own technical RFI and DDQ response for strategic accounts
- Shape enterprise commercial strategy
- Translate the AI and life sciences partnership landscape into implications for Lila's positioning
Required qualifications
- 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
Nice to have
- Working familiarity with AI and ML applied to life sciences
- Direct experience with pharma enterprise R&D buying cycles
- 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
About the company
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. The company combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science.