SVP, Product Management - MuleSoft Agent Fabric & AI Control Plane

At Salesforce, we are pioneering the Agentic Enterprise. MuleSoft has long been the world's leading integration and API management platform, connecting the world's data. Now, as enterprises rapidly deploy autonomous AI agents, they face a new challenge: unmanaged agent sprawl across disparate platforms and clouds.

To solve this, MuleSoft has introduced Agent Fabric -the unified AI control plane for the agentic era. We are providing the foundational infrastructure to discover, orchestrate, govern, and observe multi-vendor AI agents securely across the modern enterprise.

We are seeking a visionary Senior Vice President of Product Management to lead the strategy, development, and execution of MuleSoft Agent Fabric.

In this executive role, you will act as the business and product owner for our AI Control Plane. You will be responsible for building the central nervous system that acts as the "air traffic controller" for the AI enterprise. You will lead a world-class team of product managers to deliver a platform where customers can seamlessly govern Salesforce Agentforce agents alongside third-party agents (like Amazon Bedrock, Google Vertex AI, and Microsoft Copilot).

Your portfolio will sit at the bleeding edge of AI and integration, heavily leveraging the Model Context Protocol (MCP) to bridge traditional API gateways with dynamic LLM routing, runtime traffic enforcement, and enterprise knowledge stores.

- Define the AI Control Plane Vision: Own the end-to-end product strategy for MuleSoft Agent Fabric, defining how enterprises will manage, deploy, and secure agentic workflows at scale.

- Drive the Core Capabilities: Lead the product development across the three critical pillars of the AI Control Plane:

- Governance & Security: Build the central nervous system for AI trust. Develop enterprise-grade guardrails, real-time threat detection (e.g., prompt injection, data exfiltration), automated PII/PHI redaction, and strict Role-Based Access Control (RBAC) to ensure all agentic traffic complies with corporate policies and regulatory frameworks.

- AI FinOps: Bring financial accountability to generative AI. Deliver capabilities that allow enterprises to track token usage, dynamically route LLM requests to optimize for cost vs. performance, attribute AI spend to specific departments, and establish budget thresholds to eliminate bill shock.

- Agent Operations: Create the ultimate command center for the agentic lifecycle. Define the roadmap for deploying, versioning, and monitoring multi-agent systems. Build deep observability features-tracing agent reasoning, context windows, and multi-vendor handoffs-to ensure autonomous systems run reliably and transparently at scale.

- Lead a World-Class Team: Hire, mentor, and scale a global team of high-performing Directors and Group Product Managers.

- Cross-Cloud Alignment: Partner closely with the Salesforce Agentforce, Einstein, and Data Cloud leadership teams to ensure seamless native integration and cohesive GTM motions.

- Ecosystem & Standards: Champion open standards (like MCP) and build strategic partnerships with major LLM providers, AI FinOps tooling, and security vendors.

- Evangelize & Launch: Serve as the face of MuleSoft's AI infrastructure at major industry events (Dreamforce, TrailblazerDX), to industry analysts (Gartner, Forrester), and directly to C-level customers.

- Experience: 15+ years of progressive product management experience in enterprise software, with at least 5+ years managing large product organizations at the VP level or above.

- Domain Expertise: Deep technical understanding of API Management, Enterprise Integration (iPaaS), AI infrastructure, LLM routing, and API security.

- AI Architecture Fluent: Highly conversant in modern AI paradigms including Agentic architectures, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and vector databases.

- Execution Focus: Proven track record of taking complex, v1 enterprise infrastructure products from zero-to-one, and scaling them to hundreds of millions in ARR.

- Customer Obsession: Ability to engage directly with CIOs, CISOs, and Chief AI Officers to distill their governance, cost, and operational anxieties into elegant, scalable product solutions.

- Exceptional Communicator: Elite written and verbal communication skills, with the ability to simplify highly complex distributed networking and AI concepts into compelling market narratives.

- Previous experience building API Gateways, Service Meshes, or Developer Platforms.

- Familiarity with the Salesforce ecosystem, MuleSoft Anypoint Platform, and Data Cloud architecture.

- An advanced degree in Computer Science, Engineering, or a related technical field.

The typical base salary range for this position is $380,000 - $418,000 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $380,000 - $456,000 annually.