VP, Product Management- Unified Profile and Knowledge

Salesforce-posted 3 days ago
Full-time • Executive
San Francisco, CA
5,001-10,000 employees
Resume
Match Score
Upload and Match ResumeTrack Jobs with Teal

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. This leader will accelerate the build out of our unified customer profile on Data Cloud, harmonizing all of our customer data into a unified 360 profile with all of the customer signals across Salesforce including website engagements, email engagements, product engagements, sales engagements, event engagements, and many more. They will ensure we have the best view of every individual, contact, account, company, and other key data objects by deploying master data management processes such as survivorship logic, data enrichment, hierarchy management, data quality management, data operations, contact to account linking, and more. As needed, they will extend Salesforce’s Master Data Management platforms and data enrichment platforms to enable Salesforce to maximize the value from our 1st, 2nd, and 3rd party data ecosystem. This role is also accountable for building Salesforce’s enterprise knowledge graph that will deliver a harmonized and unified set of knowledge for Salesforce to enable our agents and applications to deliver success for our customers. This includes integration of ontology management processes into Salesforce’s data platforms, harmonizing our unstructured data asset into accessible data products with enriched metadata that agent development teams can use, and building of the canonical sets of knowledge in key domains like product, customer success, Trailhead, marketing, sales, and many more. As knowledge is generated across Salesforce with contribution from many teams, this leader will lead large cross functional programs and deliver shared success across teams. This is a unique opportunity to shape the future of data and AI at Salesforce, driving significant business impact and innovation at scale.

  • 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. Ensure alignment with the overall company strategy, customer needs, and the development of Salesforce’s product roadmap.
  • Product Roadmap & Execution: Develop and manage a multi-year product roadmap, prioritizing initiatives based on customer impact, business value, technical feasibility, and strategic importance. Drive the end-to-end product lifecycle from concept through to launch, adoption, and iteration, ensuring technical delivery excellence.
  • Platform Development: Lead the integrated team of product managers, engineers, and data scientists to build and extend the Salesforce platform. Ensure adherence to agile software development best practices and Salesforce platform development standards. Be a world class expert in Salesforce’s platform with continuous ability to deliver new product value on the platform for Salesforce.
  • 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.
  • 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 expertise in master data management practices and technologies inclusive of identity management, hierarchy management, ontology management, identity resolution, survivorship logic, golden record identification, and more.
  • Extremely strong data modeling skills and understanding of data modeling practices.
  • Knowledge and strong interest in emerging technologies related to unstructured data ingestion, metadata management, ontological modeling, and shaping unstructured into well managed vector databases and graph databases for use in agentic systems
  • Experience with building or significantly contributing to enterprise products that incorporate machine learning and AI decision systems
  • Exceptional strategic thinking and problem-solving skills, with a demonstrated ability to synthesize and translate market needs and complex technical concepts into clear product requirements, compelling product vision, and business value.
  • Demonstrated ability to lead, inspire, and scale high-performing product teams, fostering a culture of excellence and accountability.
  • Proven ability to manage orgs at scale (50-100+FTEs)
  • Outstanding written and verbal communication skills with the ability to craft compelling narratives and present effectively to diverse audiences, including C-level executives, technical teams, and customers.
  • Proven ability to work cross-functionally, build strong relationships, and influence effectively with stakeholders at all levels of a global, matrixed organization.
  • Deep knowledge and proven use of agile software development practices, including Scrum/Agile methodologies and continuous integration/continuous delivery (CI/CD) for delivering software applications and platforms.
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Ability to travel domestically and internationally as needed (e.g., ~15-25%) for team management, Salesforce events, industry engagement, and customer interactions.
  • Master's or PhD in Computer Science, AI, Machine Learning, or a related field.
  • Experience with building software on large-scale distributed systems and cloud platforms (e.g., AWS, GCP, Azure).
  • Experience delivering and managing product lines with significant revenue or business impact.
  • Expertise with Salesforce products and the Salesforce platform ecosystem.
  • Experience building data management solutions for CRM, sales, service, or marketing domains.
  • Experience with data governance, privacy regulations, and implementing ethical AI frameworks in practice.
  • Active participation in the data & AI/ML research, open-source community, and industry events
  • time off programs
  • medical, dental, vision, mental health support
  • paid parental leave
  • life and disability insurance
  • 401(k)
  • employee stock purchasing program
Track Jobs with Teal

Job Search Resources

•
Resume Builder
•
Resume Examples
•
Cover Letter Examples

Tools

Career Hubs

Guides

Company

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service