Product Manager, AI Infrastructure

Together AI

San Francisco (CA)

On-site

USD 175,000 - 220,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
Startup equity
Health insurance
Other competitive benefits

Job summary

Together AI is looking for a Product Manager to join our fast-growing team in San Francisco. In this role, you will drive day-to-day product work across our AI infrastructure, focusing on observability and GPU clusters. The ideal candidate will possess strong data skills and will be comfortable resolving issues autonomously.

You will work closely with engineering and product leadership to ensure the needs of our customers are met. We offer a competitive salary between $175,000 and $220,000, along with equity and benefits.

Qualifications

  • Experience collaborating across organizations to achieve goals.
  • Strong foundation in AI or infrastructure.
  • Experience with cloud platforms and GPU stack is a plus.

Responsibilities

  • Own day‑to‑day product and feature work across AI infrastructure products.
  • Drive problem resolution with minimal guidance.
  • Conduct hypothesis-driven experiments and analyze data.

Skills

Empathy for customers
Data and analytics skills
Problem-solving
Technical foundation
Collaboration
Managing multiple priorities
Familiarity with AI stack

Tools

AWS
Azure
GCP

Job description

About The Role

Our product surface is expanding fast - GPU clusters, managed storage, networking, and observability - and we're adding a Product Manager to the Together Cloud team to own the day‑to‑day product work that keeps these AI infrastructure products moving. You'll start across the full surface, with an early focus on observability and GPU Clusters, partnering closely with engineering to ship the feature work that customers feel every day.

This is a role for someone who runs toward problems. You won't be handed a backlog and asked to coordinate it - you'll find the issues others haven't spotted yet, drive them to resolution, and use data and experimentation to decide what to build. You'll have real autonomy from day one, and the breadth of working across compute, storage, and observability that few PM roles offer.

It's also a role with a clear path. Within roughly nine months, the goal is for you to grow into full ownership of a complete product area — observability or storage as your own. You'll report directly to a Staff Product Manager, and our product leadership (including our CPO) is closely involved with this team. If you want to build infrastructure that the AI ecosystem runs on, and earn ownership quickly by proving you can operate, this is that seat.

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.
About Together AI

Together AI is a research‑driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co‑designing software, hardware, algorithms, and models. We have contributed to leading open‑source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full‑time position is: $ 175,000 - 220,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job‑related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy.

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