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Manager Ai Hardware Jobs (NOW HIRING)

Hardware PM - San Francisco

San Francisco, CA · On-site

$130K - $173K/yr

... management experience in wearable devices, consumer electronics, or AI hardware. * Strong ... understanding of hardware product development process including concept design, prototyping, EVT ...

Background in data center development, energy infrastructure, or AI/cloud hardware. * Experience at a high-growth startup where you've had to build account management processes from the ground up.

Showing results 41-60

Manager Ai Hardware information

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$76.5K

$157.5K

$196.5K

How much do manager ai hardware jobs pay per year?

As of Aug 15, 2026, the average yearly pay for manager ai hardware in the United States is $157,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,500.00 and $168,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Ai Hardware vs AI Hardware Engineer?

AspectManager Ai HardwareAI Hardware Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields; leadership experienceBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields; technical expertise in hardware design
Work EnvironmentTeam leadership, project management, cross-department collaborationDesign, develop, and test AI hardware components
Employer & Industry UsageTech companies, AI startups, hardware manufacturersSemiconductor firms, AI hardware startups, research labs

The main difference is that a Manager Ai Hardware oversees teams and projects related to AI hardware development, focusing on management and strategy. In contrast, an AI Hardware Engineer is primarily involved in the technical design and development of AI hardware components. Both roles require similar technical backgrounds, but their responsibilities and focus areas differ significantly.

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Infographic showing various Manager Ai Hardware job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $157,515 per year, or $75.7 per hour.

Product Manager, AI Infrastructure

Together AI

San Francisco, CA • On-site

Full-time

Medical

Re-posted 21 days ago


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.