Data Partnerships

Who You Are

• You've owned complex commercial deals end-to-end (BD, partnerships, enterprise sales, or data licensing) and have personally closed contracts in the six- to seven-figure range.
• You're comfortable with the substance of data agreements: DPAs, training rights, redistribution, indemnification, MFN clauses.
• You can pick up technical concepts fast (schema, coverage, freshness, ingestion) and speak to them confidently with engineering counterparts at our partners.
• You're comfortable in a high-velocity startup where the portfolio shifts regularly.

Bonus

• You've worked closely with in-house counsel on data licensing or privacy reviews.
• You understand how data pipelines actually work: ingestion, schema mapping, monitoring, quality SLAs.
• You don't need to write the code, but you should be able to scope an integration with an engineer and translate it cleanly to the partner's technical lead.

What You'll Do

• Run the new logo cycle for your portfolio: targeting, outbound, discovery, pitch, technical evaluation, commercial structuring, negotiation, signature.
• Exercise taste and prioritization when selecting the data partners being considered for our platform.
• Structure commercial terms: flat fee vs revenue share vs data swap vs hybrid; term, MFN, data rights (training, caching, redistribution, retention).
• Drive contracts to signature alongside legal: MSA, DPA, Order Form, IP, indemnification, termination, audit, privacy/security review.
• Hand off cleanly to the data engineering team for ingestion, schema mapping, QA, and ongoing freshness/quality SLAs.
• Own renewals and expansions for a subset of accounts: QBRs, deal performance, expansion pathways, renegotiation leverage from usage data.
• Bring the voice of the partner back into product: data gaps, query patterns, market shifts they see before we do.
• Collaborate in building out the Data Partnerships team over time.

About Exa

Exa is building a search engine for the AI era. Our Search API currently powers Agents, Fortune 500s and AI labs as we transform an industry that hasn’t been disrupted since the 90s. We're a largely SF-based team of ~100 from Harvard, MIT, Meta, Google Research, ex-founders & dropouts alike. We are rapidly building the most intelligent search engine in history. We’re high agency, low-ego, and united by the feeling that this is one of the last problems worth getting right.

Pay

Compensation Range: $180K - $300K