Salesforce

Director, Product Management — Agent Fabric (MuleSoft)

Salesforce$197K — $313K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years in product management, specifically in enterprise software (SaaS, iPaaS, developer platforms, or cloud infrastructure).
  • Proven experience managing a product area from inception through to general availability and adoption.
  • Familiarity with API-led connectivity/integration patterns and the AI/LLM/agent ecosystem.
  • Strong cross-functional collaboration skills in a matrixed organization.
  • Customer-centric mindset with the ability to operate in ambiguous situations.
  • Technical degree in a relevant field.

Responsibilities

  • Own and develop the roadmap for a significant area within the Agent Fabric portfolio.
  • Drive end-to-end product delivery for complex, cross-functional initiatives.
  • Collaborate with cross-functional teams including Engineering, UX, Product Marketing, and Sales.
  • Leverage data and customer feedback to enhance product adoption of Agent Fabric capabilities.
  • Represent MuleSoft’s AI perspective to strategic customers and at industry events.

Benefits

  • Access to comprehensive resources that promote work-life balance.
  • Supportive environment that encourages personal and professional growth.
  • Cutting-edge technologies and tools to maximize productivity.
  • Opportunity to influence major industry shifts and product strategies.
Full Job Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Product

Job Details

The Role

We are looking for a Director of Product Management to help lead MuleSoft's Agent Fabric portfolio, the trust, governance, and connectivity layer that lets autonomous AI agents securely discover, connect to, and orchestrate across enterprise APIs and data. This is a generalist product leadership role. You will flex across strategy, adoption, and execution for a fast-moving, still-forming product area, partnering closely with engineering, design, and go-to-market to turn a 1-3 year vision into a shipped roadmap.

Key Responsibilities

Vision & Strategy — Own the roadmap for a significant capability area within Agent Fabric (for example: agent/MCP governance, registry and discovery, orchestration, or adoption enablement, with exact scope calibrated to the hire's strengths). Translate fast-moving shifts in agentic AI into a coherent, sequenced plan.

Scale & Execution — Drive end-to-end delivery for a complex, cross-functional product area. Balance long-range vision with the need to iterate quickly as the agent ecosystem evolves.

Cross-Functional Leadership — Partner across Engineering, UX, Product Marketing, and Sales without formal authority. Build alignment and momentum in a matrixed org.

Product Adoption — Use usage data and customer signal to drive adoption of Agent Fabric capabilities, helping customers move from manual integration work to agent-orchestrated workflows.

Market Influence — Represent MuleSoft's AI/agent point of view with strategic customers, at industry events, and in executive briefings.

Requirements

- 7+ years in product management, with meaningful time in enterprise software (SaaS, iPaaS, developer platforms, or cloud infrastructure).

- Track record owning a product area end-to-end, from an ambiguous 1.0 problem space through GA and adoption, in a fast-changing technical domain.

- Working knowledge of API-led connectivity/integration patterns and the AI/LLM/agent ecosystem (agent frameworks, MCP, LLM orchestration). Deep specialization in one side is fine; we are not looking for someone who has already mastered all of it.

- Strong cross-functional operator, comfortable navigating a matrixed org and building bridges across engineering, design, and GTM.

- Customer-centric, comfortable with ambiguity, and energized by building in a category that is still being defined.

- A related technical degree required.

Nice to Have

- Hands-on exposure to agent frameworks, MCP servers, or LLM gateway/governance patterns.

- Experience with developer-facing platforms or tools (SDKs, APIs, no-code/low-code builders).

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