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

Salesforce
San Francisco, New York
Full timeUSD 380,000 - 456,000 annuallyFunction: Data Science & Machine LearningSkills: ["Leadership","Customer obsession","Execution focus","Exceptional communication","Strategic thinking"]

Own the product strategy and execution for MuleSoft Agent Fabric, the unified AI control plane that helps enterprises govern, deploy, secure, and observe multi-vendor AI agents. Lead platform vision across governance & security guardrails, AI FinOps for cost/performance and spend accountability, and agent operations with observability and multi-vendor handoffs. Drive cross-cloud alignment with Agentforce, Einstein, and Data Cloud teams, and lead a global product organization.

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FursaFursa
Salesforce
Salesforce
2 days ago

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

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 minutes agoStatus: Live

Job Summary

Own the product strategy and execution for MuleSoft Agent Fabric, the unified AI control plane that helps enterprises govern, deploy, secure, and observe multi-vendor AI agents. Lead platform vision across governance & security guardrails, AI FinOps for cost/performance and spend accountability, and agent operations with observability and multi-vendor handoffs. Drive cross-cloud alignment with Agentforce, Einstein, and Data Cloud teams, and lead a global product organization.
Location: San Francisco, New York
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Director level

Key Responsibilities

  • •Define the end-to-end AI Control Plane vision and own the product strategy for how enterprises manage, deploy, and secure agentic workflows at scale.
  • •Lead governance & security, including trust guardrails, real-time threat detection, PII/PHI redaction, and strict RBAC for compliant agentic traffic.
  • •Deliver AI FinOps capabilities for tracking token usage, cost/performance routing of LLM requests, departmental spend attribution, and budget thresholds.
  • •Create agent operations across roadmap, deployment, versioning, and monitoring, including deep observability for reasoning, context windows, and multi-vendor handoffs.
  • •Hire, mentor, and scale a global team of product leaders, align cross-cloud with Agentforce/Einstein/Data Cloud, champion open standards/partnerships, and evangelize to industry events and C-level customers.

Pay and Benefits

Salary: USD 380,000 - 456,000 annually
Perks:Time OffHealth InsuranceDentalVisionPaid ParentalLife InsuranceDisability Insurance401k

Key Requirements

  • •15+ years of progressive product management experience in enterprise software, including 5+ years managing large product organizations at the VP level or above.
  • •Deep technical understanding of API management, enterprise integration (iPaaS), AI infrastructure, LLM routing, and API security.
  • •Fluency in agentic architectures, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and vector databases.
  • •Proven ability to take complex enterprise infrastructure products from zero-to-one and scale to hundreds of millions in ARR.
  • •Ability to work directly with CIOs, CISOs, and Chief AI Officers to translate governance, cost, and operational needs into scalable product solutions.
Experience:Enterprise softwareAI infrastructureAPI managementEnterprise integrationLLM routing
Education:
Skills:LeadershipCustomer obsessionExecution focusExceptional communicationStrategic thinking
Tech Stack:AgentforceMuleSoft Agent FabricMuleSoft Anypoint PlatformData CloudModel Context Protocol (MCP)RBACPrompt injectionData exfiltrationPII/PHI redactionLLM routingVector databasesRetrieval-Augmented Generation (RAG)API gatewaysAPI securityService MeshesToken usageMulti-vendor handoffsTracing agent reasoningAmazon BedrockGoogle Vertex AI

Company Brief

Salesforce
Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1999
Glassdoor
Glassdoor: 4.1
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