---
title: 'Head of Cloud Partnerships at Exa'
canonical: 'https://feeny.ai/job/head-of-cloud-partnerships-exa-san-francisco-m7bvp35tgcys'
type: 'job'
last_seen: '2026-10-17'
---

# Head of Cloud Partnerships at Exa

- **Company:** Exa
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-05-20
- **Last confirmed live:** 2026-10-17
- **Apply:** https://jobs.ashbyhq.com/exa/dbcd90ce-f311-4188-a388-89357ad80e4c

## 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

The Head of Cloud Partnerships at Exa is focused on extracting maximum distribution from the highest-leverage infrastructure in the AI ecosystem. They own one of Exa's most critical distribution layers: the hyperscaler clouds (AWS, GCP, Azure) and frontier model labs (OpenAI, Anthropic, and others). These partners are the infrastructure through which AI is built and deployed, and Exa's depth of integration here is a direct multiplier on revenue and reach.

You'll own the full relationship stack with each partner: from executive alignment and technical integrations to marketplace presence, co-sell motions with their AEs, and joint launches. Expect to operate with founder-level autonomy and a mandate to make Exa the gold standard partner across these channels..

## What you'll do

- Own the outcomes for your portfolio: depth of integration, marketplace listings, sourced and co-sold pipeline, and revenue contribution against ambitious quarterly targets.
- Run the AWS partnership end-to-end: relationship management with PDMs and partner AEs, AWS Marketplace listing and optimization, co-sell activation, field presence at AWS events, and joint outbound with their field teams.
- Eventually scale hyperscaler motions with GCP and Azure: replicate and adapt the AWS playbook across their partner ecosystems, marketplace programs, and co-sell workflows.
- Own frontier lab partnerships with OpenAI and Anthropic: joint solutioning with their applied and forward-deployed teams, tool catalog and plugin listings (GPT store, Claude tools, etc.), integration QA and eval support, and joint launches.
- Expand to additional frontier labs and AI platform partners as the ecosystem evolves.
- Drive co-marketing across the portfolio: joint launches, blog posts, demos, and conference moments in lockstep with partner marketing teams.
- Bring the voice of the partner back into product: what their field is seeing, what their customers are building, what's about to change in their stack before we feel it ourselves.

## Who You Are

- You've owned cloud or platform partnerships end-to-end at a high-velocity company and can point to specific relationships you built and activated to measurable revenue outcomes.
- You have direct experience partnering with AWS: you know how their partner organization operates, have navigated the co-sell motion, and understand AWS Marketplace mechanics (ISV Accelerate, PDM relationships, APN co-sell).
- You can pick up technical concepts fast (APIs, agent stacks, retrieval, eval workflows) and represent them confidently to partner field engineers, FDEs, and AEs.
- You're comfortable in a high-velocity startup where the portfolio evolves quickly and prioritization decisions sit with you.

## Nice to Have

- Broad experience across multiple hyperscaler platforms: GCP Partner Advantage, Microsoft Azure Marketplace, and familiarity with how their co-sell motions and partner incentive structures differ from AWS.
- Existing relationships inside OpenAI, Anthropic, or other frontier labs.
- You've navigated marketplace listings and co-sell programs across more than one cloud platform and have a point of view on what makes listings actually convert.

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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