• 5+ years in product marketing for developer-f acing infrastructure, with at least 2 years
• on AI/ML, cloud compute, GPU, or data platform products.
• W orks AI-first, not AI-assisted. Our marketing stack is agents rather than SaaS: you'll
• work with the teams shared agents day to day and continuously build and improve
• autonomous agents for reporting, campaign tracking, ICP research and content
• Can explain inference serving, GPU economics, latency and throughput trade-offs, and
• speech model quality to an ML engineer without a translator , and to a CFO in one slide.
• Has run launches for a f ast-shipping product line (monthly or f aster) and can show the
• launch system, not just the launches.
• Writes clearly and f ast: pages, briefs, battlecards and talk tracks are the daily output.
• Comfortable owning a number (consumption, pipeline, T CV) jointly with sales.
• Experience marketing usage-based or consumption-priced products.
• Hands-on with an inference API, open-weight models or a speech API; can run a demo
• from the terminal.
• Background at a hosted-inference, speech, GPU cloud company , or marketing against
• Exposure to analyst relations (Gartner , Frost, G2) and customer-story programs is a
• #LI-RH1