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Product Marketing Lead

TensorWave

The role involves developing and executing go-to-market strategies, product messaging, and marketing content for TensorWave's GPU cloud products, along with market analysis, sales support, and performance tracking. TensorWave is a company that provides a cloud platform delivering AI compute at scale, powered by AMD offerings.

Location
Nevada, Las Vegas
Arrangement
Onsite
Level
Senior
Employment
Full time
Posted
2026-05-19
Date added
2026-09-14
Last checked
2026-10-18

Overview

About TensorWave

Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.

About The Role

Are you a creative and strategic thinker with a passion for technology? We are looking for a talented Product Marketing Lead to join our dynamic team. Play a critical role in driving the success of our GPU cloud products by developing and executing innovative marketing strategies that resonate with our target audience.

WHAT YOU’LL DO

  • Strategy Development: Define and implement go-to-market strategies for TensorWave's GPU cloud solutions.
  • Product Messaging: Develop compelling product messaging that clearly articulates the unique benefits of our AMD-powered offerings.
  • Content Creation: Develop clear, compelling product marketing content including sales collateral, presentations, and case studies that communicates value and drives pipeline.
  • Market Analysis: Conduct in-depth market research to understand industry trends and identify opportunities for growth.
  • Sales Support: Equip the sales team with the tools and knowledge needed to effectively sell our products.
  • Customer Engagement: Build relationships with key customers to surface insights that sharpen product positioning and fuel compelling proof points like case studies and testimonials.
  • Performance Tracking: Measure the impact of product launches and go-to-market initiatives, using those insights to sharpen positioning, messaging, and future strategy.
  • Cross-Functional Collaboration: Work with engineering and MLOps teams to discover and communicate product features and value propositions.
  • ICP Definition: Help define and refine TensorWave's Ideal Customer Profile (ICP) to better align our offerings with market needs.

REQUIRED QUALIFICATIONS

  • Must reside in Las Vegas, NV OR Bay Area, CA
  • You hold a bachelor’s degree in Engineering, Marketing, Business or a related field. Advanced degrees or certifications are a bonus.
  • You have at least 6-8 years of experience in product marketing, preferably in a technology-focused environment.
  • You understand GPU technology and cloud computing, with a preference for experience with GPUs.
  • You have strong relationships with analysts covering AI infrastructure, GPU cloud, and enterprise compute.
  • You can independently author and edit technical documentation and solution briefs with minimal oversight, which is a strong differentiator at this level.
  • You use data to guide your decisions and can back up your thinking with evidence
  • You stay organized across multiple projects and consistently deliver on time.
  • You’re a team player who thrives in cross-functional environments.

What We Offer

  • Stock Options
  • 100% paid Medical, Dental, and Vision insurance for Employees
  • Company Health Savings Account Contributions
  • 100% paid Short Term and Long Term Disability Insurance for Employees
  • Life and Voluntary Supplemental Insurance Options
  • Other Insurance Options, such as Pet & Legal Insurance
  • Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
  • Flexible Spending Account
  • 401(k)
  • Employee Assistance Program
  • Flexible PTO
  • Paid Holidays
  • Parental Leave
  • Other In-Office Perks

About TensorWave

TensorWave's mission is to deliver seamless, secure, reliable, and resilient AI compute at scale. The company has built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack.

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