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Product

Job Details

About Salesforce

We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.

Senior Product Manager, Ontology

Our Unified Profile team is the central nervous system of Salesforce's AI-driven future. We are on a mission to transform a complex, fragmented data landscape into a unified, interconnected, and trusted knowledge graph that serves as the single source of truth for the entire organization. This team sits at the critical intersection of data strategy, semantic technology, and artificial intelligence. By partnering with core teams in Marketing, Data Science, Growth, you will build the foundational semantic layer that enables product led growth, trustworthy AI, advanced analytics, and intelligent, data-driven decisions at a global scale.

Role Description:
We are seeking an entrepreneurial and deeply technical product leader to own the vision, strategy, and execution of our Enterprise Knowledge Graph and its underlying ontology. This is a rare opportunity to build a foundational data product that will be consumed by nearly every analytics, growth, marketing and AI team to drive insight, efficiency, and innovation. You will be responsible for architecting the shift from siloed data assets to a connected, meaningful, and machine-readable representation of our business. You will build a world-class ontology that ensures our data is discoverable, interoperable, and ready to power the next generation of AI applications, including Retrieval-Augmented Generation (RAG) systems. Your success will be measured by your ability to deliver a reliable and powerful knowledge platform that unlocks high-value business use cases across the entire enterprise.

Primary Responsibilities:

• Own the vision, strategy, and multi-year roadmap for the Enterprise Knowledge Graph, the foundational data product for advanced analytics and AI across the organization.

• Lead the transformation from disconnected data silos to a unified semantic layer, dramatically improving data integration, discoverability, and reusability.

• Define the product requirements for an enterprise-grade ontology, leveraging W3C standards to create a formal, scalable, and accurate model of our business domain.

• Develop and manage the strategy for harmonizing and integrating disparate data sources into the knowledge graph based on Customer 360 instances of Data Cloud, ensuring data quality, consistency, and reliability.

• Partner with Data Cloud and Agentforce teams to define the technical requirements for data quality monitoring, access controls, and lifecycle management within the semantic layer.

• Serve as the primary product liaison to key consumers of the knowledge graph, including Data Science, Growth, Marketing, AI/ML, and Business Intelligence teams, translating their complex requirements into a clear, prioritized, and actionable product roadmap.

• Define, instrument, and analyze platform-level success metrics related to data quality, query performance, user adoption, and the business impact of the knowledge graph.

Required Skills & Experience:

• 5+ years of experience in Data Product Management or Technical Product Management, with a proven track record of building and scaling enterprise-grade data platforms, data products, or technical infrastructure.

• Deep technical understanding of semantic technologies and data modeling, including knowledge graphs, taxonomies, ontologies.

• Demonstrated experience designing and launching enterprise-level data products that serve multiple, diverse stakeholders and applications.

• Proven ability to lead and influence large, distributed, cross-functional engineering teams in a matrixed organization. You can hold your own in deep technical debates about data architecture, modeling, and APIs, unstructured data and data graphs.

• Exceptional ability to translate complex business needs into detailed technical requirements for engineering, architecture, and data science teams.

• Strong expertise in data-driven decision-making, defining success metrics for data products, and communicating business value to non-technical stakeholders.

Preferred Skills:

• Direct experience with graph databases and ontology development tools

• Experience applying knowledge graphs to power AI/ML applications, particularly for Retrieval-Augmented Generation (RAG).

• Deep experience with Salesforce Data Cloud and AgentForce

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For California-based roles, the base salary hiring range for this position is $200,800 to $276,100. #J-18808-Ljbffr

Job Tags

Full time, Shift work,

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