Data Partnerships at Exa - ScoutJobs - The AI-curated global job board
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Posted 11 hours ago

Data Partnerships

ExaData Partnerships

Perks & benefits

Medical InsuranceHealth InsurancePaid Leave

Requirements

Experience closing six-to-seven figure deals, Knowledge of data agreements (DPA, MSA), Technical literacy regarding data pipelines, Ability to work in high-velocity startups

Skills

Business Development

About the role

About the Company

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.

Responsibilities

  • 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 including flat fee, revenue share, data swap, or hybrid models.
  • Drive contracts to signature alongside legal, managing MSAs, DPAs, and privacy/security reviews.
  • Hand off deals to the data engineering team for ingestion, schema mapping, and QA.
  • Own renewals and expansions for a subset of accounts through QBRs and usage data analysis.
  • Bring partner feedback into the product cycle regarding data gaps and market shifts.

Requirements

  • Experience owning complex commercial deals end-to-end (BD, partnerships, or data licensing).
  • Proven track record of closing contracts in the six- to seven-figure range.
  • Comfort with data agreement substance: DPAs, training rights, redistribution, and indemnification.
  • Ability to quickly grasp technical concepts like schema, coverage, and ingestion.
  • Ability to work in a high-velocity startup environment.

Preferred Qualifications

  • Direct experience with privacy law (GDPR/CCPA).
  • Experience working closely with in-house counsel on data licensing or privacy reviews.
  • Understanding of data pipeline mechanics including ingestion, schema mapping, and quality SLAs.
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Data Partnerships

Exa · San Francisco

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