Director Observability Jobs in San Ramon, CA (NOW HIRING)

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Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Role Summary
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. Data Platform Services (DPS) is the platform team making that future real, and Trust & Discovery is the team at the center of it.
We are looking for a Director of Software Engineering to lead Trust & Discovery, the discovery platform, catalog, and governance layer that makes trusted data a property of every data product by design. On the producer side, the compliant path is the fastest path: classification, lineage, ownership, contracts, and semantic definitions are attached at creation, not retrofitted after the fact, so producers move faster with less friction. On the consumer side, human or agent, discovery surfaces the same trusted answer from the same governed source, with confidence and no friction. Trust is not a workflow. It is autonomous.
This role reports through DPS leadership to the CDO and CIO. This role has peers across DPS leading the data, quality, and infrastructure platforms, and partners closely with enterprise governance, enterprise architecture, and domain engineering teams whose work intersects this one.
What You'll Do

• 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.

Required Qualifications

• 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.
• 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.

Unleash Your Potential
When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.
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Posting Statement
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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: https://www.salesforcebenefits.com.Pursuant 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.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.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.The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.