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Listed location: San Francisco
Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.
Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.
Job description supplied by Together AI; category and skill labels may be inferred. How our listings work · Report a problem
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, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.
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 mentioned
Categories
Frequently asked questions
Is the Product Manager, AI Infrastructure position at Together AI remote?
The Product Manager, AI Infrastructure role at Together AI does not have a confirmed remote arrangement in our data. Check the employer description for its work location.
What type of employment is the Product Manager, AI Infrastructure role?
Together AI is hiring for a full-time Product Manager, AI Infrastructure position.
Which skills are mentioned for the Product Manager, AI Infrastructure job at Together AI?
Detected skill labels include AWS, GCP, Azure, Reinforcement Learning, GPU. Check the employer description to distinguish required skills from preferred experience.
How do I apply for the Product Manager, AI Infrastructure position at Together AI?
You can apply for the Product Manager, AI Infrastructure role directly through Together AI's official application link provided on this page.
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