Product Manager, AI Infrastructure

Posted 6 Days Ago
Be an Early Applicant
San Francisco, CA, USA
In-Office
175K-220K Annually
Mid level
Artificial Intelligence • Information Technology
The Role
Own day-to-day product work across AI infrastructure (GPU clusters, managed storage, observability). Identify and drive resolution of hidden problems, run hypothesis-driven experiments, instrument data collection, and partner with engineering and cross-functional teams. Ramp to full ownership of an area (observability or storage) within months.
Summary Generated by Built In
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.  

Skills Required

  • Deep empathy for customers operating in high-ambiguity, fast-evolving markets
  • Strong, hands-on data and analytics skills with a hypothesis-driven approach (design experiments, read data, drive instrumentation)
  • High agency: find problems and drive resolution without direction
  • Real technical foundation from AI/infrastructure background, software development, or strong cloud/infrastructure knowledge
  • Track record of collaborating across organizations and product lines to deliver results
  • Comfortable managing multiple priorities and workstreams concurrently
  • Familiarity with the AI stack, especially at the infrastructure layer
  • Cloud platform experience (AWS, Azure, GCP, or similar); extra weight if helped build such products
  • Working knowledge of Nvidia/AMD GPU stack (InfiniBand, NCCL, GPU Operator) or experience with AI training/inference workloads
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Surry Hills
84 Employees
Year Founded: 2022

What We Do

Together AI is a research-driven artificial intelligence company. We contribute leading open-source research, models, and datasets to advance the frontier of AI. Our decentralized cloud services empower developers and researchers at organizations of all sizes to train, fine-tune, and deploy generative AI models. We believe open and transparent AI systems will drive innovation and create the best outcomes for society

Similar Jobs

Arm Logo Arm

Product Manager

Artificial Intelligence • Internet of Things • Semiconductor
Hybrid
San Jose, CA, USA
8314 Employees
212K-286K Annually

NVIDIA Logo NVIDIA

Product Manager

Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
In-Office
Santa Clara, CA, USA
21960 Employees
240K-380K Annually

OKX Logo OKX

Principal Product Manager

Fintech • Financial Services • Cryptocurrency
In-Office
San Jose, CA, USA
1073 Employees
250K-376K Annually

Tencent Logo Tencent

Senior Product Manager

Gaming • Software • Metaverse
In-Office
Palo Alto, CA, USA
107879 Employees
109K-206K Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Golden Pet Brands Thumbnail
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
El Segundo, California
178 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account