Senior Director, Product Management - Enterprise Data & Knowledge Platforms at Salesforce
- Company: Salesforce
- Location: Multiple Locations
- Salary: $218K – $401K
- Job type: full time
- Workplace: onsite
- Posted: 2026-05-26
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 About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. About the Role 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. What You'll Be Doing 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 What We're Looking For Required Qualifications 12–15+ years in Product Management with a proven track record delivering large-scale enterprise transformation programs Experience leading highly c
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