Senior Product Marketing Manager, AI Inference

Cerebras · Semiconductors · Headquarters +1 · Marketing

Product Marketing Manager for AI Inference at Cerebras, focusing on positioning and promoting their wafer-scale AI chip's inference capabilities. The role involves creating technical content, building community and influencer programs, and driving organic growth by highlighting Cerebras' speed advantage in the AI market.

What you'd actually do

  1. Identify and position Cerebras' edge in a rapidly shifting competitive landscape — identify what matters, what's changing, and where we win
  2. Insert Cerebras into the AI conversation. Create short-form and long-form content that highlights Cerebras' advantage in relation to the most important online conversation around AI (eg. Agents, OpenClaw etc.)
  3. Build programs that generate grassroots community marketing and organic endorsement of Cerebras — through content creators, influencers, and popular software communities
  4. Feature Cerebras in leaderboards and third-party products to showcase our unique product capabilities and leadership position
  5. Develop new and original angles to market both Cerebras capabilities and the success of customers building on our inference

Skills

Required

  • Product marketing experience in AI, ML infrastructure, or developer tools
  • Published technical content portfolio
  • Fluency in AI coding models and agentic coding
  • Experience benchmarking AI models
  • Native user of AI coding tools
  • Experience building and scaling influencer and content creator programs
  • Experience creating and scaling organic content programs
  • Technical writing
  • Editorial judgment
  • Self-directed and autonomous

Nice to have

  • AI inference
  • Generative AI
  • Agents
  • OpenClaw

What the JD emphasized

  • 5+ years of product marketing experience in AI, ML infrastructure, or developer tools with a strong portfolio of published technical content
  • Deep fluency in AI coding models and agentic coding — you understand how these tools work, how developers evaluate them, and what intelligence and speed mean in practice
  • Hands-on experience benchmarking AI models and producing benchmark content that resonates with technical audiences
  • Native user of AI coding tools — you use them daily and can create technical artifacts, run evaluations, and build demos independently
  • Experience building and scaling influencer and content creator programs that drove measurable organic reach
  • Track record of creating and scaling organic content programs — both first-party and through external contributors
  • Strong technical writing and editorial judgment — you can tell the story of why speed matters and make it stick
  • Self-directed and autonomous — you identify what needs to exist, build it, and ship it without waiting for a brief