Benchling
AI Partnerships Lead
San Francisco, CA
Sponsorship not specifiedDetected 6 days ago
Machine LearningAgentic AISalesBusiness DevelopmentNegotiationResearchLeadershipCommunication
About the role
- Our platform powers scientific work at thousands of academic labs and biopharma companies, and we sit at the intersection of AI and biology as both accelerate.
- This is a high-ownership, client-facing role.
Responsibilities
- Partner Ownership: Own the end-to-end relationship with Benchling's most important AI partners across frontier model labs, scientific model providers, and infrastructure partners
- Data Licensing: Structure commercial arrangements across the data ecosystem in close partnership with Benchling's technical AI team, sourcing the external data and models they need and licensing Benchling's data and platform capabilities to external partners
- Playbook Design: Build a repeatable playbook for how Benchling engages the AI ecosystem: pipeline, pricing, deal structures, and success metrics
- Ecosystem Sourcing: Source, diligence, and place clear bets on the next generation of AI/ML companies, from stealth-stage startups to public infrastructure players, and shape which ones become Benchling partners
- Industry Presence: Represent Benchling at events, in the field, and in front of senior executives at every partner you own
- energized by building the playbook while running live deals
- Own the end-to-end relationship with Benchling's most important AI partners across frontier model labs, scientific model providers, and infrastructure partners
Requirements
- 4+ years combined experience across partnerships, business development, enterprise sales, corporate development, consulting, investment banking, venture capital, life sciences, tech, or startups
- Track record of managing senior external relationships and engaging credibly at the executive level, including with CEOs, CFOs, and technical leadership
- Strong knowledge of AI/ML and the ability to translate between research and commercial audiences
- a technical background is not required, but you should be comfortable in substantive conversations with researchers, engineers, and product teams
- Comfort operating across the full deal lifecycle: sourcing and qualification, discovery, negotiation, contracting alongside Legal, and post-signature delivery
- Bias for action and comfort with ambiguity; energized by building the playbook while running live deals
- Strong knowledge of AI/ML and the ability to translate between research and commercial audiences; a technical background is not required, but you should be comfortable in substantive conversations with researchers, engineers, and product teams
Nice to have
- Strong written communication, with the ability to translate complex and uncertain ideas into clear, concise, and decisive recommendations
- Demonstrated engagement and relationships across the AI ecosystem is a plus
- Deep curiosity about how AI is reshaping R&D
- prior work experience in life sciences or a degree in a scientific discipline (biology, chemistry, bioengineering, or similar) is a plus
Skills
- When a breakthrough is delayed, the world waits.
- Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps.
- AI has the potential to change this, compressing decades of R&D work into years.
- But that only happens when clean, structured scientific data and AI are built into how science gets done.
- Benchling is the AI platform for biotech R&D.
- Benchling is the R&D Cloud for life sciences.
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This listing is sourced directly from Benchling's careers page and normalized into a canonical job model.