Sr. Product Manager, Developer Ecosystem

Join the Developer Ecosystem Team at Databricks

You will be the Product Manager in the Developer Ecosystem team at Databricks in Amsterdam. You will be responsible for enhancing the customer developer experience across the inner and outer development loops, ensuring seamless integration with tools, CI/CD workflows, and automation frameworks. Our customers require enterprise-grade software best practices for their teams, and this team delivers on that mission.

You have a deep understanding of developer workflows, cloud infrastructure, CI/CD best practices, and the evolving landscape of data and AI development to drive meaningful impact across Databricks' developer community. Specifically, as a Product Manager in the Developer Ecosystem team, you will work on:

• Strategy & Roadmap - Define and execute the vision for the developer ecosystem, prioritizing features and integrations that improve developer velocity, collaboration, and productivity.
• Developer Tooling & Experience - Drive improvements in Databricks Asset Bundles (DABs), IDE integrations, CLI and SDK enhancements, CI/CD workflows, automation frameworks, and testing tools to enhance the inner loop development experience.
• Integrations & Extensibility - Ensure Databricks integrates seamlessly with third-party developer tools (GitHub, GitLab, Jenkins, Terraform, etc.), enabling efficient DevOps and MLOps workflows.
• Metrics & Observability - Define and track key success metrics around developer adoption, engagement, and efficiency to continuously refine the developer experience.
• Collaboration & Stakeholder Management - Work closely with engineering, developer relations, solution architects, and external partners to drive adoption of Databricks as a best-in-class development platform.
• Customer-Centric Development - Gather insights from developers, iterate on feedback, and advocate for features that reduce friction in building, testing, and deploying data applications on Databricks.

The impact you will have:

• Own the end-to-end product management process
• Gather customer requirements, design features, and collaborate with engineering to deliver a polished market-ready product
• Drive launches with product marketing through blog posts, release notes, webinars
• Define and measure OKRs for your products
• Drive the prioritization and development of features, measurably reducing the cost and time needed for operating ETL and machine learning workflows.

What we look for:

• 5+ yrs of experience
• Bachelor's degree in Computer Science or similar field
• Experience in Product Management (inbound, outbound, cross-functional processes)
• Technical skills using developer tools, frameworks, and languages
• Solid understanding of cloud infrastructure (AWS, Azure, GCP)
• Strong data analysis and operationalization skills (SQL, Python, building operational dashboards)

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.

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.