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P-1345
You will be the Product Manager for the Spark Engine team located in Belgrade. This team builds core capabilities for Databricks SQL, a serverless data warehouse on the Databricks Data Intelligence Platform that lets you run all your SQL and BI applications at scale with up to 12x better price/performance. As the Product Manager, you will develop a deep understanding of modern cloud infrastructure, gather requirements from customers who refine petabytes of data every day and deliver features that reduce the total cost of ownership of 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 integration with popular tools and services in the broader data warehousing ecosystem
- 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:
- 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)
- Working knowledge of Apache Spark's™ execution model, query planning and execution and familiarity with Big Data technology
- 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, please visit 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.
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.
Top Skills
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
