Senior Director, Product Management - Enterprise Data & Knowledge Platforms

Salesforce•San Francisco, CA

1d•$218,400 - $401,400•Remote

About The Position

At the heart of Salesforce's data and AI strategy sits the Unified Knowledge Services team — and this role leads it. As Senior Director of Product Management, you'll own the enterprise data-to-activation platform and drive delivery of Next Gen Account Hierarchy (NGAH) as a flagship transformation initiative. You'll also steward the enterprise Knowledge Graph platform, the connective tissue between entities, relationships, and signals that powers AI reasoning and GTM intelligence. This is a high-visibility leadership role at the intersection of data, AI, Agents, and go-to-market transformation — one that directly shapes how the enterprise operates today and how Agentforce-powered experiences are built tomorrow.

Requirements

12–15+ years in Product Management with a proven track record delivering large-scale enterprise transformation programs
Experience leading highly cross-functional initiatives across Product, Engineering, GTM, Operations, and Executive stakeholders
Strong background in customer data platforms, master data management (MDM), identity resolution, and customer hierarchy systems
Deep familiarity with enterprise data platforms, including governance, data pipelines, data modeling, and activation
Demonstrated ability to influence and drive alignment across large, matrixed organizations without direct authority, including at the executive level
Ability to operate fluidly between strategic vision and execution details

Nice To Haves

Experience with Informatica MDM or similar enterprise master data management platforms
Working knowledge of Salesforce Data Cloud, including identity resolution, activation, governance, and enterprise data architecture concepts
Familiarity with enterprise Knowledge Graph architectures and graph-powered systems, including semantic modeling, ontology concepts, entity relationships, and AI-powered reasoning use cases
Experience partnering with external platform vendors in a Customer Zero or strategic design partner capacity
Experience with AI-powered enterprise platforms, agentic workflows, intelligent automation, or semantic technologies — including Agentforce or similar AI ecosystems
A related technical degree

Responsibilities

Lead a Flagship Enterprise Transformation: Own end-to-end delivery of NGAH to critical path teams by FY28. Drive enterprise-wide adoption across Sales, Marketing, RevOps, Finance, and Product organizations, with scalable rollout and enablement models for long-tail teams. Balance speed, accuracy, governance, and adoption in a high-complexity environment. Drive alignment across 40+ stakeholder teams and organizational leaders.
Own the Customer Data Foundation: Define and execute product strategy across Customer Master (identity, match/merge, hierarchy), Enrichment Platform (data quality, vendors, signals), Data Platform (pipelines, governance, activation), and Knowledge Graph (entity relationships, graph traversal, AI-ready data structures). Ensure enterprise data flows seamlessly from ingestion → activation → business impact.
Drive Business Impact Through Adoption: Partner deeply with GTM teams to embed trusted customer data into workflows and operational systems. Drive measurable business outcomes: improved targeting, segmentation, pipeline quality, conversion, ACV, and operational efficiency. Lead enterprise-wide change management to accelerate adoption and reduce friction across a highly matrixed organization.
Build and Scale a High-Performing Product Organization: Lead, grow, and coach a team with varying levels of PM maturity, developing the next generation of product leadership talent. Instill strong product instincts, execution rigor, and an ownership mindset. Build a culture of accountability, clarity, customer-centricity, and operational excellence.
Lead with an AI-Forward Mindset: Embed AI into data quality, enrichment, deduplication, signals intelligence, scoring, and workflow automation. Leverage knowledge graphs as the semantic layer powering Agentforce reasoning, entity disambiguation, and relationship-aware recommendations. Champion the evolution from traditional systems to intelligent, agent-driven platforms.
Act as a Strategic External Partner: Serve as Customer Zero for strategic platform partners (e.g., Informatica). Influence roadmap direction, validate capabilities at scale, and ensure enterprise readiness. Evaluate emerging technologies and industry trends relevant to enterprise data and AI ecosystems.