Product Manager, AI Infrastructure
Own day-to-day product work for AI infrastructure (GPU clusters, storage, observability). Drive experiments, find and resolve problems with high agency, and grow into full ownership of a product area. Requires strong data skills and technical foundation.
About the job
Responsibilities
- Own the day-to-day product and feature work across Together's AI infrastructure products - GPU Clusters, Managed Storage, and observability - with an early focus on observability and storage.
- Find and drive problems to resolution with minimal guidance, including issues that aren't yet on anyone's radar.
- Run structured, hypothesis-driven experiments - reading the data yourself and driving the data collection and instrumentation needed to answer open questions.
- Partner across engineering, product, and partner teams to ship improvements and unblock work without waiting for permission.
- Translate a deep understanding of customers operating in fast-moving, high-ambiguity markets into product decisions.
- Juggle multiple priorities and workstreams across a broad infrastructure surface.
- Grow into end-to-end ownership of a complete product area (observability or storage) as you ramp.
Requirements
- Deep empathy for customers operating in high-ambiguity, fast-evolving markets; we work with AI Native startups and model labs that move at high pace.
- Strong, hands-on data and analytics skills with a hypothesis-driven approach - you design experiments, read the data yourself, and can drive the data collection needed to get answers.
- High agency: you find problems, push through resistance, and drive resolution without waiting to be told what to do.
- A real technical foundation - whether from an AI/infrastructure background, hands-on software development, or strong working knowledge of cloud and infrastructure.
- A track record of collaborating across orgs and product lines to get things done.
- Comfortable managing multiple priorities and workstreams at once.
- Familiarity with the AI stack, especially at the infrastructure layer, is a strong plus.
- Cloud platform experience (AWS, Azure, GCP, or similar) - with extra weight if you've helped build such products.
- Bonus: working knowledge of the Nvidia/AMD GPU stack (InfiniBand, NCCL, GPU operator, etc.), or experience with AI training or inference workloads.
Compensation & Benefits
- US base salary range: $175,000 - $220,000 + equity + benefits.
Skills
Product Management, Data Analytics, Hypothesis-Driven Experimentation, AI Infrastructure, Gpu Clusters, Observability, Technical Collaboration, Infrastructure Knowledge, Nvidia/Amd Gpu Stack
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