Sr Product Manager, Employee Experience

Databricks Databricks · Data AI · Mountain View, CA · Integration, Data, Engineering and Applications

Senior Product Manager to lead a zero-to-one initiative focused on building next-generation agentic workflows on top of Databricks to enhance internal employee experience tools. The role involves defining strategy, driving product vision, and partnering with engineering to build an integrated, intelligent automation layer for HR and people operations.

What you'd actually do

  1. Own the Zero-to-One Vision: Define and evolve the long-term strategy for the unified employee and manager experience, specifically focusing on advanced agentic workflows and automation tailored to the People function.
  2. Drive Product Strategy & Automation: Partner closely with developers, engineering teams, and stakeholders across People Operations and IT to design, build, and deploy intelligent agentic automation workflows on the Databricks platform.
  3. Domain Leadership: Serve as the primary product leader specializing in talent acquisition, hiring processes, and performance management workflows, transforming standard internal tools into highly optimized, automated experiences.
  4. Execute and Measure: Define success metrics (adoption, efficiency, engagement, automation accuracy) and use data-driven insights to guide rapid iteration and development within an evolving field.
  5. Influence and Collaborate: Report directly to VP of Product in IT and work cross-functionally to align engineering, design, and senior leadership around the automated product vision, evangelizing the roadmap in company-wide productivity and AI discussions.

Skills

Required

  • 5+ years of product management experience
  • proven track record leading specialized, highly technical, or zero-to-one enterprise and internal product initiatives
  • Deep background in human resources and people-process functions, specifically with concrete experience in hiring, talent acquisition, employee experience and performance management
  • Hands-on experience or a strong technical understanding of agentic automation, LLM orchestration, and modern AI-driven workflows to streamline operational bottlenecks
  • Demonstrated ability to own a product domain end-to-end, linking automation outcomes directly to corporate scaling and employee experience goals
  • Strong understanding of building on advanced data platforms, user-centered design, data-informed development, and modern enterprise governance practices (e.g., RBAC/ABAC)
  • Highly comfortable leading through extreme ambiguity, managing complex stakeholder landscapes, and collaborating directly with engineering pods to build applications from scratch

Nice to have

  • Experience developing custom productivity applications or automation layers on data platforms (such as Databricks)
  • Familiarity with enterprise HR ecosystems like Workday, ServiceNow, or similar core systems of record, specifically regarding their API limitations and integration surfaces

What the JD emphasized

  • zero-to-one initiative
  • agentic workflows
  • automation

Other signals

  • zero-to-one initiative
  • agentic workflows
  • AI-driven experience
  • automation