---
title: 'Data Partnerships at Exa'
canonical: 'https://feeny.ai/job/data-partnerships-exa-san-francisco-j2bbvhs1h7nd'
type: 'job'
last_seen: '2026-09-05'
---

# Data Partnerships at Exa

- **Company:** Exa
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-11-05
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/exa/faf3340f-a551-49cd-97ca-498023e59f6b

## Job description

## About Exa

We raised a $250M Series C to build the search engine for AIs. Led by a16z, with existing investors Benchmark, Lightspeed, and YC doubling down, the round brings Exa's valuation to $2.2 billion. Read more https://exa.ai/blog/announcing-series-c

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.

## The role

Data Partnerships at Exa is focused on creating the greatest knowledge ecosystem with our world-class partners. Members of the team run end-to-end data licensing deals including portfolio strategy, outbound, negotiation, close, and renewal.

We're hiring a partner who can run deals shoulder-to-shoulder with the existing team so we can move faster and land more. You'll own a portfolio of partners end-to-end, working closely with legal/privacy and engineering to take each one from outbound through to a live, integrated, paying partnership.

This is a builder seat, not an SDR or AE role. Expect to operate with founder-level autonomy on the deals you own.

## 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.

## 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. Direct experience with privacy law (GDPR/CCPA) is a strong plus.
- 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. Familiarity with the kind of legal work owned in-house at Exa (MSA/DPA negotiation, privacy posture, audit response) means you'll close deals faster.
- 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.

This is an in-person opportunity in San Francisco. We're happy to sponsor international candidates (e.g., STEM OPT, OPT, H1B, O1, E3). In addition to premium healthcare benefits (medical, dental, vision), we also offer fertility benefits and a monthly wellness stipend to all of our employees.

Exa is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, veteran status, marital status, pregnancy or related conditions, criminal histories consistent with applicable law, or any other basis protected by applicable law.

## About Exa

## Company Overview
- **One-liner**: Exa builds a web-scale search API and deep research engine purpose-built for AI agents and developers, organizing the web for the agentic era.
- **Entity Type**: Private (Series B)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2021
- **Founders**: Will Bryk (CEO) and Jeff Wang (Co-founder)

## Core Business
- **Primary industry/industries**: AI search infrastructure, applied AI research, developer tools
- **Target customers**: B2B – developers, AI agent companies, enterprise teams (e.g., Cursor, Cognition, HubSpot, OpenRouter, Monday.com)
- **Mission or purpose statement**: “Organize all knowledge” and “reinvent how the world gets information” – building a search engine for the AI era that exceeds the quality and latency of traditional search.

## Products & Services
- **[Exa Search API](https://exa.ai/)**: A high‑throughput web search API delivering results in under 180ms, with support for low‑latency instant search, deep research, crawling, and structured output extraction. Includes “Highlights” (token‑efficient excerpts), company & people search, and code search. SOC 2 Type II certified, zero data retention option, single sign‑on.
- **Exa Embeddings & Neural Retrieval**: Proprietary state‑of‑the‑art embedding models trained on Exa’s own cluster of hundreds of H200s, achieving best‑in‑class accuracy on FRAMES, Tip‑of‑Tongue, and Seal0 benchmarks.
- **Custom AI Search Solution**: Enterprise‑grade search infrastructure that can be tailored for specific verticals and integrated via a single API.

## Market Standing
- **Valuation/Market Cap**: $2.2 billion (as of May 2026) – reported by Bloomberg and referenced on Exa’s about page.
- **Key Metric**: Total funding $111.4 million (Pre‑Seed, Seed, Series A, Series B)
- **Notable Investors/Partners**:
  - **Investors**: Lightspeed Venture Partners (led Series A), Benchmark (led Series B), Nvidia, Y Combinator, and individual advisors such as Tal Broda (former VP of Compute, OpenAI) and researchers from Google/Bing.
  - **Customers & Integrations**: Cursor, Cognition (Devin), HubSpot, OpenRouter, Monday.com, and over 400,000 developers.
- **Growth Signals**:
  - Headcount: 75 employees (+127.7% YoY), with active hiring across 17 open roles.
  - Revenue: Not publicly disclosed, but traction with marquee customers and rapid valuation growth from ~$22M (Seed) to $2.2B in under two years.
  - Team distribution across 10 countries, with a strong engineering and research core (26% technical, 5% research).

## Competitive Advantages
- **Web‑scale infrastructure**: Crawls and indexes 500B+ webpages with a proprietary neural retrieval stack that improves predictably with compute.
- **Latency & accuracy leadership**: Fastest search API (<180ms) and top scores on industry benchmarks (FRAMES, Tip‑of‑Tongue, Seal0).
- **Agent‑native design**: Built specifically for the workflow of LLM agents – token‑efficient highlights, structured outputs, and low‑latency to deep research in a single API.
- **Enterprise trust**: SOC 2 Type II, zero data retention, SSO, and privacy controls.

## Strategic Focus
- **Current priorities**: Expand the search infrastructure for the coming “1000x more searches from AI agents than Google today.” Continue investing in end‑to‑end neural architectures, scale the cluster, and deepen integrations with leading AI platforms.
- **Direction**: Become the default “knowledge layer” for all AI agents, reinventing search from a link‑based model to a high‑quality, structured answer engine.

## Why Work Here
- **Culture**: Applied AI research lab with a mission to build the world’s best search engine. In‑person team (San Francisco headquarters) with daily team meals, weekly milk tea, monthly picnics, and regular celebrations.
- **Remote/hybrid policy**: Fully in‑person for most roles, with flexibility for certain positions and visa‑relocation support.
- **Benefits**: Premium medical/dental/vision, monthly wellness and commuter benefit, fertility/family planning reimbursement (up to $15k lifetime), 16 weeks paid parental leave, daily lunch and dinner, snacks, and fresh bread from a local bakery.
- **Engineering culture**: Emphasis on research‑driven engineering – working on massive‑scale indexes, novel retrieval systems, and training state‑of‑the‑art models on Exa’s own H200 cluster.

## Sources
1. [Exa About Page](https://exa.ai/about)
2. [Exa Careers Page](https://exa.ai/careers)
3. [Exa Product Page](https://exa.ai/)
4. [Exa LinkedIn](https://www.linkedin.com/company/exa-ai)
5. [Y Combinator Company Profile](https://www.ycombinator.com/companies/exa)

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