Product Manager (AI Infrastructure)

Job Description

This investment is empowering enterprises with high-performance inference infrastructure for scalable AI deployment and they're hiring a technical Product Manager to help them scale their AI platform.

This is a high impact role, where you will take end-to-end ownership of delivering products that span the entire technology stack -- from infrastructure and model performance to developer and user experiences.

Requirements:

• 3+ years of engineering experience (SWE or Tech Lead or Eng Manager)
• 1-4 years of product management experience in technical, fast-paced environments
• Excellent communication and collaboration skills across engineering, design, and go-to-market teams
• Customer-first mindset with demonstrated success building and iterating products based on real-world feedback
• A systems thinker who thrives in complex problem spaces with technical depth
• Technical fluency— you should be comfortable working closely with engineers on the problems they're solving

Nice to have:

• Experience with developer platforms, ML infrastructure, or enterprise SaaS
• Familiarity with ML workloads, inference pipelines, or fine-tuning models
• Understanding of enterprise security, compliance, and scaling requirements

Location: San Francisco (hybrid)

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About Greylock & our Recruiting Team

Greylock is an early-stage VC firm and our mission is to help realize rare potential. As full-time, salaried employees of Greylock, our recruiting team provides free candidate referrals / introductions to our active investments to help them grow/succeed (as one of our many services).