Plaid

Partner Marketing Manager (AI & Financial Partners)

Owns joint marketing programs with Plaid's AI, enterprise, and credit partners, turning partner strategy into campaigns, enablement, and measurable pipeline.

The role

This role sits inside Plaid's Growth Marketing organization and supports the Partnerships go-to-market team. The manager acts as the main marketing point of contact for strategic partners across AI, enterprise, and credit segments. The work centers on joint launches, campaigns, and partner-ready materials that help partners win customers.

What you would do

  • Work with partnership leads to pinpoint where marketing can add leverage
  • Build differentiated go-to-market plans for fast-moving areas such as AI
  • Define partner-led offers and launch plans that suit both partner and company goals
  • Run co-marketing campaigns and scalable content aimed at broad partner groups
  • Analyze campaign results to improve returns across the partner channel
  • Produce enablement assets like decks, guides, FAQs, and onboarding material
  • Coordinate approvals, timelines, and dependencies across internal and external teams
  • Translate credit, lending, and banking product detail into partner-friendly messaging

What they asked for

  • Six to eight or more years of B2B marketing, including partner or channel work
  • Track record building joint marketing plans with tech, AI, or consulting partners
  • Ability to influence partner marketing leaders and align on shared goals
  • Experience turning product positioning into partner-ready content
  • Proven method for measuring marketing ROI in an indirect partner model
  • Understanding of partner funnels, sales cycles, and product lifecycles
  • Comfortable presenting to senior enterprise stakeholders

Nice to have

  • Background at a high-growth technology company
  • Experience in payments, fintech, credit, lending, or banking
  • Partner, revenue, or sales enablement background
  • Hands-on use of marketing automation or CRM platforms
  • Experience with learning management or internal enablement systems
  • Practical use of AI tools to speed up workflows
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