Strategic Partner Development, Data & Product Partnerships – Beneficial Deployments
$240,000–$300,000 year
HybridNew York City, New York, United States or San Francisco, California, United States
Job Summary
Structure and close strategic data and product partnerships for global health, life sciences, and education sectors by scoping agreements, designing structures, and negotiating complex terms with partner managers, legal counsel, and research teams. Maintain a clear view of the partnership pipeline, communicate status across Beneficial Deployments, legal, and product groups, and turn recurring deal patterns into standard structures to move quickly. Lead deals from ideation through signature, including non-standard templates, while exercising judgment to say no or reshape proposals when necessary. Work cross-functionally with legal and colleagues who own relationships to ensure agreements are honored and risks are managed effectively.
Required Qualifications
- You care about the public-benefit nature of this work.
- 8+ years of experience, most of it negotiating and closing agreements – business development, strategic partnerships, licensing, data or content deals, corporate development or comparable.
- We are looking for a deal-making background rather than a sales one.
- You have personally led deals from term sheet through signature, including agreements that didn't fit a standard template.
- You are comfortable negotiating complex terms related to rights, use restrictions, privacy and security obligations – and working closely with lawyers on both sides of a deal.
- You have a track record of working cross-functionally, especially with legal teams and with colleagues who own a relationship or program, and you are effective as the business collaborator in that setting.
- You can carry many agreements at once, keep track of what was agreed and stay organized without much structure around you.
- You exercise good judgment: you are comfortable saying no or proposing a different shape for a deal, and you can operate with incomplete information.
- Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience
- Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
- Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
Desired Qualifications
- Experience working with nonprofits, foundations, multilateral organizations, universities, health systems or governments as counterparties
- Familiarity with health, education or research data and the frameworks that govern it
- An understanding of how AI models are developed and evaluated, and of product integrations and APIs
- Prior experience at an AI lab, a platform company or a data business
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