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WEKA

Senior Product Marketing Manager, Partners & Ecosystem

RemoteUnited States only
Published
Role
Marketing
Experience
Senior
Company size
Startup
Salary not disclosed
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior Product Marketing Manager focused on partners and ecosystem; requires 6+ years in product marketing or a closely related enterprise-technology role. Located in North America with ability to travel up to 25%; strong technical aptitude in AI/ML infrastructure, accelerated computing, cloud architectures, and data/memory systems.

Optional skills

AI/ML infrastructureaccelerated computingcloud computingdata platformsstorage and memory technologies

What you'll do

  • Own positioning, messaging, value propositions, priority use cases, and differentiated narratives for WEKA's technology, cloud, neocloud, OEM, and channel partnerships.
  • Translate technical integrations and complementary capabilities into compelling joint solutions that clearly explain what WEKA and our partners enable together.
  • Work with Alliances, Product, Sales, and partner teams to define joint GTM priorities, target audiences, use cases, proof points, launch opportunities, and the content and enablement required to support them.
  • Personally develop joint content including blogs, web pages, datasheets, solution briefs, presentations, messaging guides, sales tools, and partner enablement.
  • Lead product marketing for new integrations, validated solutions, reference architectures, marketplace offerings, and other joint announcements, from positioning and messaging through content and field readiness.

What they require

  • 6+ years of experience in product marketing, product management, solution marketing, or a closely related role in enterprise technology, with significant experience in product marketing.
  • Located in North America with the ability to travel up to 25%.
  • Bachelor's degree in a relevant technical or business field, or equivalent practical experience.
  • Experience working with technology ecosystems and partners such as semiconductor and accelerated computing companies, data and AI platforms, cloud providers, neoclouds, ISVs, OEMs, systems integrators, or channel partners.
  • Strong technical aptitude and working knowledge of AI/ML infrastructure, accelerated computing, cloud computing, data platforms, storage and memory technologies.

suite of machine learning software written in Java

AI InfrastructureStartup
Salary not disclosed