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Salary: USD 168,000 - 272,000 / annual
Lila Sciences is building Scientific Superintelligence™—an AI-powered operating system for science that combines advanced AI models with proprietary instruments to execute the scientific method autonomously. The company is accelerating discovery across medicine, materials, and energy.
You will own a named portfolio of top 20 pharma accounts end-to-end, with direct accountability for revenue generation. 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 shape commercial strategy across product, science, software, and robotics.
Key responsibilities include:
- Own strategic account relationships with top pharma companies, building and executing multi-year account strategies covering expansion, whitespace, and renewal
- Establish and maintain executive relationships at R&D leadership and C-suite levels
- Lead complex, multi-quarter pursuits across discovery, translational, platform, data/AI, and BD/licensing stakeholders
- Negotiate and close large enterprise agreements, working with legal, finance, and procurement
- Maintain accurate forecasts and surface tradeoffs, priorities, and risks to leadership
- Partner with product and science teams to scope high-value engagements and unblock technical inputs
- Own technical RFI and DDQ responses for strategic accounts, packaging customer-facing deliverables
- Shape enterprise commercial strategy, including qualification standards, deal structures, and pricing
- Translate the AI and life sciences partnership landscape into implications for Lila's positioning
Your buyers are senior and technical, spanning discovery, translational, platform, data and AI, and BD and licensing functions, with procurement and legal involved in every large agreement. You will be selling the world's first platform for scientific superintelligence applied to target discovery, small molecule, and biologics.
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
BONUS QUALIFICATIONS:
- Working familiarity with AI and ML applied to life sciences (target identification, generative models for molecules and biologics, predictive ADMET, 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
- Clear point of view on where AI is and is not useful in life sciences R&D today
