Staff Product Manager, Content Experience

Overview

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Databricks is a powerful, technical platform used by a diverse and growing range of personas, from data scientists and engineers to analysts and business leaders, to developers. To help these users succeed, we need world-class content that is timely, contextual, accurate, and helps users achieve their goals. This leads to faster adoption, lower support costs, and higher customer satisfaction. Achieving this impact requires a strategic shift : treating content as part of the product .

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.

What You’ll Do

• Own the content experience end-to-end. You’ll be responsible for how users of Databricks find and engage with content — both in external documentation and within the product itself — making sure it’s helpful, intuitive, and actionable.
• Drive strategic improvements to content tooling and workflows. You’ll define how we author, manage, and deliver content at scale, collaborating with engineering, tech writing, design, and AI teams to improve speed, consistency, and quality.
• Build an architecture of participation. You’ll design systems and tools that enable context experts — from engineers to field teams — to contribute directly to content in ways that are sustainable and scalable.
• Integrate AI to transform content experiences. You’ll partner with our AI platform teams to apply generative AI to the authoring, delivery, and user experience of content — reimagining everything from documentation search to intelligent assistance.
• Define metrics that matter. You’ll track content engagement, time-to-task, support deflection, and user satisfaction — and use these signals to drive ongoing prioritization and iteration.
• Collaborate cross-functionally. You’ll partner closely with engineering, UX, product, tech writing, developer relations, field teams, and customers to ensure the content experience supports our platform’s broad and growing user base.

What We Look For

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range

$159,500—$223,325 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit the benefits page.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\'s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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