VP, Medical

VP, Product Management Unified Profile and Knowledge
Salesforce is the #1 AI CRM, where humans and agents drive customer success together. Tech meets trust. And innovation isnt a buzzword its a way of life. We are 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. This leader will build a single source of truth for customer, employee, and enterprise knowledge to power activations, automations, agents, and analytics across the enterprise.
Vision & Strategy: Define, champion, and evangelize a compelling vision for Salesforces unified data graph that brings all of our most critical data assets into an actionable asset for the agentic enterprise.
Develop and manage a multi-year product roadmap, prioritizing initiatives based on customer impact, business value, technical feasibility, and strategic importance.
Platform Development: Lead an integrated team of product managers, engineers, and data scientists to build and extend the Salesforce platform, ensuring adherence to agile software development best practices.
Data Vendor Management: Manage strategy, budget, relationships, and integration with a large suite of data providers to acquire, enrich, and share data assets across Salesforces enterprise needs.
Data Operations Management: Ensure continuous management of key data assets with operations to monitor data quality, govern mastering rules, and provide scaled capacity for global data management.
Cross-Functional Leadership: Collaborate closely with engineering, data science, research, design, marketing, sales, and other business unit teams.
Stakeholder Management: Engage with executive leadership and key stakeholders to communicate product strategy and secure buyin.
Build, mentor, and lead a highperforming team, fostering an inspiring and accountable performance culture.
Maintain a strong understanding of data management, customer data platforms, LLMs, vector and graph databases, agentic development models, and scalable platform architecture.
Drive operational excellence implementing best practices for product discovery, delivery, and lifecycle management.
Represent Salesforce and its data and AI vision through presentations at Salesforce events, customer engagements, and relevant industry forums.
Vendor & Partner Management: Manage relationships with a suite of vendors and consultancies, 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 focused on machine learning, AI platforms, data products, or enterprisescale technology platforms.
~ Proven track record of successfully launching, scaling, and growing complex, dataintensive enterprisegrade platforms and AIpowered applications that deliver significant business KPIs.
~ Expertise in master data management practices and technologies, inclusive of identity management, hierarchy management, ontology management, identity resolution, survivorship logic, and golden record identification.
~ Strong interest in emerging technologies related to unstructured data ingestion, metadata management, ontological modeling, and shaping unstructured data into wellmanaged vector and graph databases for agentic systems.
~ Experience with building or significantly contributing to enterprise products that incorporate machine learning and AI decision systems.
~ Outstanding written and verbal communication skills with the ability to craft compelling narratives and present effectively to diverse audiences, including Clevel executives, technical teams, and customers.
~ Deep knowledge and proven use of agile software development practices, including Scrum/Agile methodologies and CI/CD for delivering software applications and platforms.
~ Bachelors degree in Computer Science, Engineering, Data Science, or a related technical field.
~ Ability to travel domestically and internationally as needed (e.g., ~Masters or PhD in Computer Science, AI, Machine Learning, or a related field.
Experience with building software on largescale 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, opensource community, and industry events.
When you join Salesforce, youll have limitless opportunities to grow in all areas of your life. If you require assistance due to a disability applying for an open position, please submit a request via the Accommodations Request Form.
Salesforce is an equal opportunity employer and maintains a policy of nondiscrimination with all employees and applicants for employment. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well, including timeoff programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.