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[/] _ Why Databricks _ _ Discover _ For Executives [/why-databricks/executives] - For Startups [/product/startups] - Lakehouse Architecture [/product/data-lakehouse] - Mosaic Research [/research/mosaic] - Customers \* Customer Stories [/customers] - Partners \* Cloud ProvidersDatabricks on AWS, Azure, GCP, and SAP [/company/partners/cloud-partners] - Consulting & System IntegratorsExperts to build, deploy and migrate to Databricks [/company/partners/consulting-and-si] - Technology PartnersConnect your existing tools to your Lakehouse [/company/partners/technology-partner-program] - C&SI Partner ProgramBuild, deploy or migrate to the Lakehouse [/company/partners/consulting-and-si/candsi-partner-program] - Data PartnersAccess the ecosystem of data consumers [/company/partners/data-partner-program] - Partner SolutionsFind custom industry and migration solutions [/company/partners/consulting-and-si/partner-solutions] - Built on DatabricksBuild, market and grow your business [/company/partners/built-on-partner-program] - Product _ _ Databricks Platform \* Platform OverviewA unified platform for data, analytics and AI [/product/data-intelligence-platform] - Data ManagementData reliability, security and performance [/product/delta-lake-on-databricks] - SharingAn open, secure, zero-copy sharing for all data [/product/delta-sharing] - Data WarehousingServerless data warehouse for SQL analytics [/product/databricks-sql] - GovernanceUnified governance for all data, analytics and AI assets [/product/unity-catalog] - Data EngineeringETL and orchestration for batch and streaming data [/product/data-engineering] - Artificial IntelligenceBuild and deploy ML and GenAI applications [/product/artificial-intelligence] - Data ScienceCollaborative data science at scale [/product/data-science] - Business IntelligenceIntelligent analytics for real-world data [https://www.databricks.com/product/business-intelligence] - Application DevelopmentQuickly build secure data and AI apps [/product/databricks-apps] - DatabasePostgres for data apps and AI agents [/product/lakebase] - Integrations and Data \* MarketplaceOpen marketplace for data, analytics and AI [/product/marketplace] - IDE IntegrationsBuild on the Lakehouse in your favorite IDE [/product/data-science/ide-integrations] - Partner ConnectDiscover and integrate with the Databricks ecosystem [/partnerconnect] - Pricing \* Databricks PricingExplore product pricing, DBUs and more [/product/pricing] - Cost CalculatorEstimate your compute costs on any cloud [/product/pricing/product-pricing/instance-types] - Open Source \* Open Source TechnologiesLearn more about the innovations behind the platform [/product/open-source] - Solutions _ _ Databricks for Industries \* Communications [/solutions/industries/communications] - Media and Entertainment [/solutions/industries/media-and-entertainment] - Financial Services [/solutions/industries/financial-services] - Public Sector [/solutions/industries/public-sector] - Healthcare & Life Sciences [/solutions/industries/healthcare-and-life-sciences] - Retail [/solutions/industries/retail-industry-solutions] - Manufacturing [/solutions/industries/manufacturing-industry-solutions] - See All Industries [/solutions] - Cross Industry Solutions \* Cybersecurity [/solutions/industries/cybersecurity] - Marketing [/solutions/industries/marketing] - Migration & Deployment \* Data Migration [/solutions/migration] - Professional Services [/professional-services] - Solution Accelerators \* Explore AcceleratorsMove faster toward outcomes that matter [/solutions/accelerators] - Resources _ _ Learning \* TrainingDiscover curriculum tailored to your needs [https://www.databricks.com/learn/training/home] - Databricks AcademySign in to the Databricks learning platform [https://www.databricks.com/learn/training/login] - CertificationGain recognition and differentiation [https://www.databricks.com/learn/training/certification] - Free EditionLearn professional Data and AI 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PRODUCT MANAGER, DEVELOPER ECOSYSTEM Amsterdam, NetherlandsApply now 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 - Bachelors 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. To learn more, follow Databricks onTwitter [https://twitter.com/databricks],LinkedIn [https://www.linkedin.com/company/databricks]andFacebook [https://www.facebook.com/databricksinc]. 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 visithttps://www.mybenefitsnow.com/databricks [https://www.mybenefitsnow.com/databricks]. 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. 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