At TensorWave, we’re leading the charge in AI compute, building a versatile cloud platform that’s driving the next generation of AI innovation. We’re focused on creating a foundation that empowers cutting-edge advancements in intelligent computing, pushing the boundaries of what’s possible in the AI landscape.

We’re looking for our first Product Manager to help us deeply understand our users and evolve our core infrastructure platform.

What You'll Do

Be the voice of the user. Talk to real customers daily — uncover how they’re using our GPU cloud, what problems they’re facing, and where we can help.
Do the grunt work. Research competing solutions, study usage data, log feedback, and aggregate insights that inform product direction.
Work hand-in-hand with engineering. Translate user problems into clear, technically-grounded suggestions for our eng team. Be in the loop on implementation and feasibility.
Drive tactical product improvements. This is not about vision decks — you’ll own small, practical product decisions and help us ship fast.
Understand the hardware. Our product is infrastructure: GPUs, interconnects, thermal design, memory bandwidth, cluster scheduling. You should love this stuff or be hungry to learn it.
Own the roadmap (lightly). Keep an evolving list of what matters most. Prioritize customer impact. Make sure we’re not flying blind.
Stay humble and curious. We don’t want someone trying to "own the product" — we want someone obsessed with understanding it.

What We’re Looking For

Must-haves:

Experience working with cloud infrastructure or GPU-based compute platforms
You've either:
- Built or scaled a GPU/cloud platform
- Been a power user of cloud GPU clusters (e.g. ML researcher, systems engineer, etc.)
Comfort working closely with engineering — possibly an engineering background yourself
Strong customer empathy and experience in user research or product discovery
You default to learning and listening, not over-asserting
You’re comfortable owning small, iterative product decisions — not trying to design the master plan

Nice-to-haves:

Experience in early-stage startups or 0→1 product environments
Understanding of AMD Instinct GPUs, ROCm, or similar AI/ML infrastructure stacks
Technical writing or documentation experience

Why This Role Matters

This is not a traditional SaaS PM job.

We need someone who can deeply understand the needs of ML engineers, infrastructure teams, and AI researchers — and help us build a product that fits. You’ll be the connective tissue between our users and our hardware-backed engineering teams.

This role reports directly to our CEO and works across engineering, operations, and support.