AI Product Manager Jobs in San Francisco, CA
AI Product Manager jobs in San Francisco are in high demand, concentrated in SoMa, the Financial District, and Mission Bay across AI infrastructure, enterprise SaaS, and consumer technology. Employers hiring right now include Pinterest, DoorDash, and Genentech. See the openings below and apply to the ones that match your experience.
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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.
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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Find AI Product Manager JobsAI Product Manager Job Market in San Francisco
Who's Hiring
- Pinterest24

- DoorDash8

- Genentech8

- Drata7

- Google7

Top Industries Hiring
- Technology & Software136
- Artificial Intelligence20
- Science & Research15
- Social Media9
- Retail7
AI Product Manager Jobs in San Francisco: Frequently Asked Questions
How do I get a ai product manager job in San Francisco?
Focus on San Francisco's dense cluster of AI-native startups in SoMa and Mission Bay, as well as the larger platform companies headquartered in the Financial District and Civic Center area. Candidates who can demonstrate hands-on experience with machine learning product cycles, cross-functional alignment on model deployment, and fluency with AI ethics frameworks stand out most in this market.
Which companies hire ai product managers in San Francisco?
San Francisco ai product manager roles are posted by Pinterest, DoorDash, and Genentech and others right now, based on current listings on Migrate Mate as of June 2026. The city's employer mix skews heavily toward AI-first startups, major cloud platform companies, and enterprise software firms with dedicated machine learning divisions.
Are there remote ai product manager jobs in San Francisco?
Yes, ai product manager work is well suited to remote and hybrid arrangements given its analytical and strategic nature. About 51% of ai product manager openings tied to San Francisco are remote or hybrid as of June 2026, reflecting the tech sector's continued flexibility. Roles focused on roadmap strategy and stakeholder alignment tend to offer the most location flexibility locally.
How can I get a ai product manager job in San Francisco with little or no experience?
The most realistic entry path is moving laterally from a data analyst, technical program manager, or software engineer role at one of San Francisco's many mid-stage AI startups, which often promote from within. Entry-level associate PM or product operations roles at companies in SoMa and the Dogpatch area regularly hire candidates with strong analytical portfolios, even without formal product management titles.
Which industries hire the most ai product managers in San Francisco?
Most ai product manager openings in San Francisco sit in Technology & Software, Artificial Intelligence, and Science & Research, per current listings on Migrate Mate as of June 2026. San Francisco's concentration of AI research labs, fintech platforms, and enterprise cloud companies creates sustained demand across all three sectors year-round.
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