Senior Director, Data Platform & AI-Driven Analytics

Salesforce, Inc.; San Francisco (CA); On-site; USD 218,000 - 365,000; Full time

Job summary

Salesforce, Inc. is seeking a Senior Director of Data Engineering to lead a ~40-person organization and own the full data engineering stack, from ingestion to AI-facing data services.

You’ll partner with Data Science & Analytics to drive a bold technical vision for Slack’s data platform and agentic analytics capabilities. This is a strategic leadership role focused on transforming data infrastructure, governance, and observability to support AI agents and enterprise data products at scale.

Qualifications

• 10+ years in data engineering, data platform, or infrastructure roles.
• 5+ years in engineering leadership at the Director level or above.
• Proven track record building and scaling data platforms at consumer or enterprise SaaS scale.
• Experience partnering with Data Science / Analytics leadership as a peer stakeholder.

Responsibilities

• Architect and unify data layers, APIs, and semantic interfaces for AI agents.
• Transform the semantic layer and metrics platform for machine-readable knowledge.
• Build real-time data products and sub-second decisioning for agentic analytics.
• Ship agentic analytics tooling to enable self-serve analytics and proactive insights.
• Establish AI-native observability with OpenTelemetry GenAI conventions.

Skills

Data engineering

Leadership

Data platforms

Engineering management

Cross-functional comms

Education

Technical degree

Job description

Salesforce, Inc. is seeking a Senior Director of Data Engineering to lead a ~40-person organization and own the full data engineering stack, from ingestion to AI-facing data services.

You’ll partner with Data Science & Analytics to drive a bold technical vision for Slack’s data platform and agentic analytics capabilities. This is a strategic leadership role focused on transforming data infrastructure, governance, and observability to support AI agents and enterprise data products at scale.