Product Partnerships Manager

Postman Postman · Enterprise · San Francisco, CA · Sales

Product Partnerships Manager at Postman, focusing on AI infrastructure and integrations. The role involves owning a portfolio of 2-3 product partnerships end-to-end, from strategy and R&D integration to GTM and impact measurement. Requires hands-on familiarity with the AI landscape, including LLMs, AI gateways, and agent frameworks, as well as comfort in technical discussions with PMs and engineers.

What you'd actually do

  1. Own a portfolio of 2-3 product partnership domains across AI infrastructure (15-25 partners), MCP, IDE integrations, SDK generation, or platform partners — end-to-end: strategy, partner relationship, R&D integration, GTM motion, and impact measurement
  2. Drive integration depth - sketch the integration, work with PMs and engineers on both sides to scope it, push it through to launch
  3. Build joint GTM motions with each partner: launch comms, co-marketing, joint enablement, sales plays
  4. Measure and report partner impact regularly - installs, MAU, joint pipeline, partner-attributed revenue, integration usage
  5. Be the partner's primary day-to-day contact at Postman - own the partner relationship, run the cadence, escalate when needed

Skills

Required

  • Product partnerships
  • Business development
  • Developer relations
  • Integrations
  • Technical alliances
  • AI landscape familiarity
  • LLMs (OpenAI, Anthropic, Google Gemini, Mistral, Llama)
  • AI gateways (LiteLLM, Portkey, Helicone)
  • AI observability (Langfuse, Traceloop, Agentops)
  • Agent frameworks
  • MCP (Model Context Protocol)
  • Modern IDE ecosystems (Cursor, Windsurf, GitHub Copilot, JetBrains, VS Code, Amazon Q Developer)
  • Partnership strategy
  • Partner relationship management
  • R&D integration scoping
  • GTM motion building
  • Impact measurement
  • Technical communication
  • Project management
  • Adaptability to ambiguity
  • Bias toward action
  • Playbook creation

Nice to have

  • Direct experience with AI infrastructure
  • API security
  • Gateways
  • SDK generation (Fern, Stainless, Speakeasy)
  • Engineering background
  • PM background
  • DevRel background
  • Marketplace listing experience
  • Integration directory experience
  • Platform partner program experience
  • Developer-tools company experience
  • API-first company experience

What the JD emphasized

  • Hands-on familiarity with the AI landscape
  • Working knowledge of MCP (Model Context Protocol)
  • Familiarity with modern IDE ecosystems
  • Comfortable in technical conversations with PMs and engineers
  • Comfort with change and ambiguity; bias toward action; willing to write the playbook

Other signals

  • Owns a portfolio of high-impact product partnerships
  • Hands-on familiarity with the AI landscape
  • Comfortable in technical conversations with PMs and engineers