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RDQ126R52
As a Product Manager - Technical, you will work with other product managers and technical field teams to help ensure that the product features that we design and ship offer the best user experiences and meet the highest user performance requirements.
This challenging role will require you to measure both the functional and non-functional capabilities of our customers' workloads and the technologies that they employ to address them. Equipped with this analysis, you will then examine in minute detail the experience fulfilling these workloads on Databricks and then detail the product improvements we can make to make Databricks even simpler and more powerful to use.
You will be a bridge between the technical field teams and the product and engineering teams. You will ensure that the technical field teams experience running PoCs and implementing solutions inform product decisions. You will ensure the product improvements are well presented to the field.
The impact you will have:
- Use your technical and product experience to identify and determine product improvements
- Establish and help run performance benchmarks
- Prioritize and work on an impactful product roadmap
- Help take the product to market and guide its adoption
What we look for:
- 5+ years of experience of strong, hands-on technical background
- Empathy for customers, especially data engineers, data analysts, and data scientists
- Domain expertise in data warehousing
- Strong experience working performing DWH benchmarks and/or price/performance PoCs
- Experience analyzing and quantifying different technology's capabilities at a deep level
- Experience writing Python and SQL
- Experience with systems design and architecture
- Experience working with both product and technical teams
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.
