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Sr Product Manager, Employee Experience

Databricks
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Hybrid (San Francisco, CA / Mountain View, CA)$145k - $199.3kPosted 4mo ago

About the role

Senior Product Manager (L5) focused on building the next-generation internal employee experience tools within the People Pod to unify and automate workforce processes across Workday and other systems.

Responsibilities

  • 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.
  • Drive Product Strategy & Automation: Partner with developers, engineering teams, and stakeholders across People Operations and IT to design, build, and deploy intelligent agentic automation workflows on the Databricks platform.
  • Domain Leadership: Serve as the primary product leader specializing in talent acquisition, hiring processes, and performance management workflows, transforming internal tools into optimized automated experiences.
  • Execute and Measure: Define success metrics (adoption, efficiency, engagement, automation accuracy) and use data-driven insights to guide rapid iteration and development.
  • Influence and Collaborate: Report to VP of Product in IT and work cross-functionally to align engineering, design, and senior leadership around the automated product vision.

Qualifications

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

Skills

Required:Product managementDomain expertise in HR/people processesAgentic automation & AI workflows
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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