Qualifications
The impact you will have:
Oversee the entire product management lifecycle.
Collect customer requirements, design features, and partner with engineering to deliver a refined market-ready product.
Facilitate launches with product marketing through blog posts, release notes, and webinars.
Establish and monitor OKRs for your products.
Prioritize and develop features that significantly lower the cost and time required for operating ETL and machine learning workflows.
What we seek:
6+ years of relevant experience.
Bachelor's degree in Computer Science or a related field.
Proven experience in Product Management, encompassing inbound, outbound, and cross-functional processes.
Technical proficiency.
Robust understanding of cloud infrastructure (AWS, Azure).
Exceptional data analysis and operationalization capabilities (SQL, rollups, and building operational dashboards).
About the job
P-1345
As the Staff Product Manager for the Databricks Runtime team based in Amsterdam, you will play a pivotal role at the crossroads of query processing, storage, infrastructure, and data governance—integral elements of the Databricks data intelligence platform. In this capacity, you will cultivate a thorough understanding of modern cloud infrastructure, data governance solutions, and open-source components while actively gathering requirements from customers. You will spearhead the launch of features that transform how customers handle petabytes of data daily, streamlining their ability to extract value from their data.
This role encompasses the full spectrum of product management, from conceptualization to execution. You will engage with customers to understand their needs, craft long-term product strategies, define product roadmaps, collaborate with engineering to bring those products to life, and liaise with various internal stakeholders (both pre- and post-launch) to guarantee product success.
About Databricks
Databricks is a leader in the data and AI industry. Trusted by over 10,000 organizations worldwide—including Comcast, Condé Nast, and more than half of the Fortune 500—Databricks' Data Intelligence Platform empowers companies to unify and democratize data, analytics, and AI. Headquartered in San Francisco and with a global presence, Databricks was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow.
