VP, Product Management- Unified Profile

VP, Product Management - Unified Profile and Knowledge

Salesforce is seeking an innovative, entrepreneurial, and experienced data and AI product leader to lead the strategy, development, and delivery of our unified profile and enterprise knowledge platform for Salesforce. As we build the first agentic enterprise, harmonized and unified data is more critical than ever before to enable humans and agents to deliver success together.

This pivotal role will deliver the single source of truth for our most critical customer data, employee data, and enterprise knowledge to power activations, automations, agents, and analytics across the enterprise. They will serve as the customer zero product lead to test the latest features emerging from products like Salesforce Data Cloud, Informatica, and Tableau by putting them to use at scale for Salesforce and extending them with custom development as R&D to shape our long term product roadmap.

Responsibilities

• Vision & Strategy:
  Define, champion, and evangelize a compelling vision for Salesforce’s unified data graph that brings all of our most critical data assets into an actionable asset for the agentic enterprise.
• Product Roadmap & Execution:
  Develop and manage a multi-year product roadmap, prioritizing initiatives based on customer impact, business value, technical feasibility, and strategic importance.
• Platform Development:
  Lead the integrated team of product managers, engineers, and data scientists to build and extend the Salesforce platform.
• Data Vendor Management:
  Manage the strategy, budget, relationships, and integration with a large suite of data providers to acquire, enrich, and share data assets across Salesforce's enterprise needs.
• Data Operations Management:
  Ensure continuous management of key data assets with operations to monitor data quality, govern mastering rules, fix records and data values, and provide scaled capacity to take on data management tasks like updating contact records, validating preferences, and more with a globally distributed data operations team.
• Cross-Functional Leadership:
  Collaborate closely with world-class engineering, data science, research, design, marketing, sales, and other business unit teams to deliver high-quality products and ensure successful go-to-market strategies and adoption.
• Stakeholder Management:
  Engage with executive leadership and key stakeholders across various business units and in global, matrixed environments to understand their needs, communicate product strategy, secure buy-in, and manage expectations.
• Team Leadership & Development:
  Build, mentor, and lead a high-performing team. Foster an inspiring and accountable performance culture that helps everyone do the best work of their careers and promotes innovation, execution, and continuous improvement.
• Technical Acumen:
  Maintain a strong understanding of data management, customer data platforms, LLMs, vector and graph databases, agentic development models, and scalable platform architecture to guide product decisions, effectively communicate with technical teams, and drive thoughtful architectural decisions.
• Operational Excellence:
  Drive operational excellence implementing best practices for product discovery, delivery, and lifecycle management. Ensure platform and product uptime, data quality, and reliability.
• Industry Thought Leadership:
  Represent Salesforce and its data and AI vision through presentations and engagements at Salesforce events, customer engagements, and relevant industry forums.
• Vendor & Partner Management:
  Manage relationships with a suite of vendors and consultancies as needed to deliver products and programs, including budget considerations and procurement alignment.

Required Qualifications

• 15+ years of data and AI software product management experience, with at least 7-10 years in a significant product leadership role (Director level or above) focused on machine learning, AI platforms, data products, or enterprise-scale technology platforms.
• Proven track record of successfully launching, scaling, and growing complex, data-intensive enterprise-grade platforms and AI-powered applications that deliver significant business KPIs.
• Demonstrated…