Databricks

Staff Product Manager, Content Experience

Databricks
onsite staff full-time $181,700-$249,800 USD San Francisco, California
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First indexed 18 Apr 2026

Description

We're looking for a Product Manager to lead our Content Experience strategy. In this role, you will own how users discover, learn from, and act on content: across documentation, in-product help, AI-assisted guidance, and beyond.

You'll help define the future of content at Databricks by making it a first-class product experience and integrating content development into product development.

Key responsibilities include:

  • Owning the content experience end-to-end, ensuring it's helpful, intuitive, and actionable
  • Driving strategic improvements to content tooling and workflows
  • Building an architecture of participation that enables context experts to contribute directly to content
  • Integrating AI to transform content experiences
  • Defining metrics that matter and tracking content engagement, time-to-task, support deflection, and user satisfaction

Requirements include:

  • 7+ years of product management experience, with a proven track record of leading cross-functional initiatives and delivering high-impact user experiences
  • Deep understanding of developer tools, data platforms, or technical products with large surface areas
  • Strong systems mindset, comfortable designing scalable workflows, content architectures, and tooling integrations
  • Experience with developer documentation, content platforms, or product onboarding is a plus
  • Strong customer empathy and an obsession with helping users succeed
  • Familiarity with AI technologies (especially LLMs) and how they can be applied to content workflows and user guidance
  • Experience working with technical and non-technical contributors in a collaborative content ecosystem

Pay Range Transparency: Databricks is committed to fair and equitable compensation practices. The pay range for this role is $181,700-$249,800 USD.

This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://job-boards.greenhouse.io/databricks/jobs/8040989002