About the role
P-1345
You will be the Product Manager for the Databricks Runtime team in Berlin. The team works at the intersection of query processing, storage, infrastructure and data governance, all key components of the Databricks data intelligence platform. As the Product Manager, you will develop a deep understanding of modern cloud infrastructure, data governance solutions, and open source components, and gather requirements from customers. You will launch features that will impact how customers process petabytes of data every day and make it simpler for them to draw value from their data.
This role requires coordinating all product activities from vision to implementation, including engaging customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.
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 making it simpler and more cost effective for customers to govern and process petabytes of data.
What we look for:
- 6+ yrs of experience
- Bachelors degree in Computer Science or similar field
- Experience in Product Management (inbound, outbound, cross-functional processes)
- Technical skills
- Solid understanding of cloud infrastructure (AWS, Azure, GCP)
- Strong data analysis and operationalization skills (SQL, rollups, 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 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 click here.
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.
Aplyr's read
Databricks is a hub for data-driven innovation, attracting talent in AI and big data to transform how organizations leverage data for strategic decisions.
What's promising
- •Databricks offers a cutting-edge platform integrating data science, engineering, and business analytics.
- •The company is a leader in big data and AI, driving significant industry advancements.
- •Strong emphasis on collaboration attracts top-tier talent in data analytics and AI fields.
What to watch
- •High competition in cloud data analytics could impact market share.
- •Rapid scaling may strain internal resources and affect company culture.
- •Dependence on cloud infrastructure partners presents potential operational risks.
Why Databricks
- •Databricks' Lakehouse architecture uniquely combines data lakes and warehouses.
- •Focus on AI efficiency and optimization differentiates its research initiatives.
- •Collaborative workspace design fosters innovation across diverse data teams.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Databricks
Databricks is a unified data analytics platform that accelerates innovation by unifying data science, engineering, and business. It provides a collaborative workspace for data teams to work with big data and AI, enabling organizations to make data-driven decisions.
