Director, Product Management Agent Fabric Adoption (mulesoft)

Salesforce Salesforce · Enterprise · Seattle, WA

Director of Product Management for Salesforce's MuleSoft Agent Fabric, focusing on accelerating customer adoption of AI agents and orchestration platforms within enterprise environments. This role requires deep customer and field engagement to drive product investment and strategy.

What you'd actually do

  1. Own a rolling 3–5 month adoption plan for Agent Fabric. Decide which onboarding gaps, first-value moments, and friction points get fixed next, and ship them continuously.
  2. Stand up a deep, durable partnership with field leadership across Adoption, Solutions Engineering, AVPs, and RVPs. Be the PM field leadership trusts to unlock strategic deployments.
  3. Engage directly with strategic customers, in their environments and on their working sessions. Pressure-test the product against real deployments and bring that signal back into the plan.
  4. Read the adoption funnel and customer progression patterns the way other PMs read a backlog. Identify where customers consistently stall, and build the product changes that unstick the pattern, not just the account.
  5. Partner with Engineering, UX, Product Marketing, and the Adoption team to convert "no-brainer" gaps into shipped product in weeks. Act as a force multiplier across MuleSoft and the broader Salesforce ecosystem.

Skills

Required

  • Product Management
  • Enterprise Software
  • SaaS
  • iPaaS
  • Cloud Infrastructure
  • Field Engagement
  • Customer Engagement
  • API-led connectivity
  • Orchestration
  • AI/LLM ecosystem
  • Agent design patterns
  • Tool use
  • Agent-to-agent orchestration
  • Adoption trends
  • Cross-functional influence
  • Technical degree

Nice to have

  • Autonomous agent frameworks
  • AI governance
  • Model Context Protocol (MCP)

What the JD emphasized

  • 10+ years in Product Management
  • proven track record of leading complex, platform-scale products
  • proven ability to translate direct customer engagement into shipped product
  • Deep understanding of API-led connectivity, orchestration, and the emerging AI/LLM ecosystem
  • Comfort discussing agent design patterns, tool use, and agent-to-agent orchestration

Other signals

  • customer adoption
  • product strategy
  • field engagement