Exa
Product Marketing
San Francisco, California
Sponsorship not specifiedDetected 105 days ago
ValuationResearchLeadership
About the role
- You'll make Exa the defining brand in AI Search - through product launches, campaigns, demos, and moments that cut through the noise.
- This role blends strategic thinking with hands-on execution across every surface where our brand lives - and where it doesn't live yet:)
Responsibilities
- Own product positioning - translate Exa's technical capabilities into clear, compelling narratives that resonate with both developers and Enterprise executives
- Lead GTM strategy for product launches - coordinating across product, eng, sales, and marketing to ensure maximum impact
- Run campaigns across digital, social, and brand channels - plan and execute launches that land and create momentum, especially on X and LinkedIn
- Create high-quality content - technical blog posts, product demos, podcasts, and thought leadership that builds credibility with technical audiences
- Collaborate closely with Product to prioritize feature development based on market insight, and ensure new features are packaged with clear value propositions to ICPs and buyer personas.
- We raised a $250M Series C to build the search engine for AIs.
- Exa is building a search engine for the AI era.
Requirements
- Experienced in product marketing for technical products - you know how to market to developers and technical buyers
- A technical storyteller - the ability to turn complex concepts into narratives that resonate
Company info
- 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 are rapidly building the most intelligent search engine in history.
Visa & Work Authorization
- We are open to sponsoring 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 employee
This listing is sourced directly from Exa's careers page and normalized into a canonical job model.