Product Manager

11 Minutes ago • All levels
Product

Job Description

TensorWave is seeking its first Product Manager to join their team in Las Vegas, Nevada. This role involves deeply understanding user needs for their AI compute cloud platform, researching competing solutions, analyzing usage data, and translating user problems into technical suggestions for the engineering team. The Product Manager will drive tactical product improvements, understand hardware infrastructure like GPUs and interconnects, and lightly own the product roadmap, prioritizing customer impact.
Good To Have:
  • 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
Must Have:
  • Experience working with cloud infrastructure or GPU-based compute platforms
  • Built or scaled a GPU/cloud platform, or been a power user of cloud GPU clusters (e.g., ML researcher, systems engineer)
  • Comfort working closely with engineering, possibly with an engineering background
  • Strong customer empathy and experience in user research or product discovery
  • Defaults to learning and listening, not over-asserting
  • Comfortable owning small, iterative product decisions
Perks:
  • Stock Options
  • 100% paid Medical, Dental, and Vision insurance
  • Life and Voluntary Supplemental Insurance
  • Short Term Disability Insurance
  • Flexible Spending Account
  • 401(k)
  • Flexible PTO
  • Paid Holidays
  • Parental Leave
  • Mental Health Benefits through Spring Health

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Employment Type

Full time

Location Type

On-site

Department

Product

About TensorWave

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.

What We Bring:

  • Stock Options
  • 100% paid Medical, Dental, and Vision insurance
  • Life and Voluntary Supplemental Insurance
  • Short Term Disability Insurance
  • Flexible Spending Account
  • 401(k)
  • Flexible PTO
  • Paid Holidays
  • Parental Leave
  • Mental Health Benefits through Spring Health

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