Director, Data Management Tooling

About the role

Salesforce is building toward an autonomous future, one where trusted data is the default rather than the extra step, and where the platform itself handles the work humans do today to find, verify, and govern data. With Agentforce built into every layer of our platform, engineers here build the intelligent systems that make governed data accessible to humans and AI agents alike.

Responsibilities

• Lead the metadata and discovery platform — including catalog, auto-classification, stewardship workflows, and cross-platform tag propagation — serving humans and AI agents from a single governed surface.
• Own the Trust Center, the consolidated quality and observability layer that surfaces a unified Trust API queryable by both humans and agents across the full data quality stack.
• Build the semantic trust layer that gives every governed metric a single canonical definition, accessible in natural language through headless analytics, governed MCPs, and Agentforce — making the compliant path the fastest path for producers and consumers.
• Lead a team that ships using AI as an operating model: governed AI-assisted development, self-healing pipelines, and automated evaluation harnesses behind every shipped capability.
• Engage CDO and CIO-level stakeholders on multi-year platform strategy and cross-functional alignment with enterprise governance, architecture, and domain engineering teams.

Requirements

• 12+ years of professional engineering experience, including significant time leading engineering organizations at the Director level or equivalent.
• Demonstrated experience building data infrastructure at enterprise scale — catalog, governance, quality, observability, or platform tooling.
• Experience leading a team through an AI transformation that changed how the team ships, operates, and measures its own output — not just which tools are on the desktop.
• A strong point of view that governance is a property of the platform, not a workflow layered on top of it — with experience in federated environments where platform and domain teams share accountability.
• Track record of engaging executive stakeholders (CDO, CIO level) on multi-year platform strategy.

Qualifications

• A related technical degree required.

Preferred Qualifications

• Hands-on familiarity with modern data tools: dbt, Snowflake, data observability platforms, or agent infrastructure built on MCP.
• Experience with semantic layers, knowledge graphs, or ontology-driven data architectures.
• External contributions — publishing, speaking, or open-source work — on data platform, governance, or AI infrastructure topics.

Benefits

At Salesforce, we offer 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: https://www.salesforcebenefits.com.

Pay

The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually.

Schedule

Not specified.