Product Manager - Hardware Systems

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

Tenstorrent is building high-performance AI compute systems that scale from developer desktops to data centers. As a Product Manager - Hardware Systems, you’ll own our flagship data-center product line. A scalable, customizable system delivering flexible AI compute for demanding workloads without the cost or lock-in of traditional infrastructure.

Galaxy is flexible topology without the cost: open, programmable, and built to support custom configurations. You’ll define topologies, cabling, power, and orchestration strategies that make deployment efficient and scalable. You’ll work with engineers, customer success, and field teams worldwide to ensure Galaxy performs flawlessly in colos and customer data centers alike.

This role is hybrid, based out of Santa Clara, CA; Austin, TX or Toronto, ON.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Motivated by redefining what open, high-performance compute looks like at scale.

• A systems thinker who thrives in complexity: topology, orchestration, and deployment.

• Detail-driven, organized, and relentless about uptime and customer success.

• Hands-on enough to be in a colo during deployment, strategic enough to execute against an ambitious roadmap.

What We Need