Tech Stack

Description

You will own the reliability and performance of our AI compute platform, defining product direction from problem discovery to adoption. You'll drive cross-functional execution across hardware and software teams, and translate complex infrastructure research into scalable capabilities.

Requirements

• 3-5+ years experience in product management, HPC, ML infrastructure, distributed systems, SRE, cloud architecture, or GPU platforms
• Strong technical foundation in distributed systems, cloud infrastructure, or ML platforms
• Hands-on familiarity with ML orchestration (Slurm, Kubernetes, Ray, or similar)
• Experience delivering complex initiatives with multiple engineering teams
• High ownership and comfort in fast-evolving AI infrastructure environments

Responsibilities

• Own reliability and performance across the full infrastructure stack
• Define product direction end-to-end: discovery to delivery
• Drive cross-functional execution across compute, networking, storage, and hardware teams
• Lead deep problem research using customer interviews, analytics, and workload studies
• Define and operationalize product metrics for cluster experience