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Partner Marketing Lead, Cloud

Menlo Ventures Portfolio

San Francisco, CA · Senior

$255,000 – $320,000

Listed on Menlo Ventures Portfolio’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

This partner marketing role involves building go-to-market programs and co-marketing campaigns with major cloud providers to drive enterprise adoption of Claude. It suits someone with deep hyperscaler partnership experience who can balance strategic relationship-building with hands-on campaign execution and measurable business outcomes.

Our summary, not Menlo Ventures Portfolio’s wording. The full posting is on their site.

What they ask for

Required

  • Deep expertise building and executing partner marketing programs with hyperscaler partners
  • Strong understanding of enterprise buyer journeys and C-level decision-maker marketing
  • Ability to develop joint value propositions articulating clear business outcomes
  • Proven ability to manage complex cross-functional initiatives across organizations
  • Strong relationship-building with partner marketing and sales teams
  • Highly organized and detail-oriented with ability to manage multiple programs simultaneously
  • Excellent written and verbal communication skills including executive-level content creation
  • Data-driven with ability to track marketing metrics and optimize programs
  • Comfort with fast-paced, high-growth environments and changing priorities
  • Get-it-done mentality willing to jump in wherever needed
  • Interest in societal impacts of AI and responsible enterprise AI adoption

Nice to have

  • Experience in AI/ML industry or with AI-powered products
  • B2B SaaS partner marketing background, particularly developer tools, data platforms, or enterprise software
  • Experience with AWS Marketplace, GCP Marketplace, or Azure Marketplace
  • Proven track record launching and scaling new partner programs from the ground up
  • Experience marketing to both technical audiences and business decision-makers
  • Understanding of enterprise AI use cases across industries and functions
  • Experience in high-growth startup environments

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