Sr Product Manager, Employee Experience

Databricks · Mountain View, California; San Francisco, California · Integration, Data, Engineering and Applications · listed November 14, 2025

The shape of it

Seniority
Manager
Experience asked
5+ years
Where
Not stated
Stated pay
$145,000 – $199,300 USD
Requirements listed
5
Length
1,023 words

In the posting’s own words

Managers and employees at Databricks interact with dozens of systems every week, from Workday to performance and onboarding tools, often switching contexts and duplicating effort. This team is responsible for defining and delivering product vision to simplify and unify the employee experience, designing an integrated, intelligent automation layer that sits on top of our systems of record to surface the right tasks, insights, and actions in one place.

What it asks for · 5

  • 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 .
  • 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 (e.g., RBAC/ABAC).
  • Familiarity with enterprise HR ecosystems like Workday, ServiceNow, or similar core systems of record, specifically regarding their API limitations and integration surfaces.

Also a plus

  • 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 job covers

  • 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 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.
  • 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.
  • 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.
  • 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.

Tools and skills named

Data
  • Databricks7×
Product & design
  • Product management3×
  • Product strategy
  • Roadmap
Operations & finance
  • Recruiting2×
Models & research
  • LLM

Words the posting leans on

  • product15×
  • experience11×
  • automation10×
  • highly5×
  • leadership5×
  • manager5×
  • advanced4×
  • data4×
  • directly4×
  • domain4×
  • internal4×
  • systems4×
  • workflows4×
  • agentic automation3×
  • applications3×
  • build3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Databricks on August 18, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.