Staff Product Manager - Technical

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 improvementsEstablish and help run performance benchmarksPrioritize and work on an impactful product roadmapHelp take the product to market and guide its adoptionWhat we look for: 5+ years of experience of strong, hands-on technical backgroundEmpathy for customers, especially data engineers, data analysts, and data scientistsExperience analyzing and quantifying different technology's capabilities at a deep levelExperience writing Python and SQLExperience with systems design and architectureExperience working with both product and technical teamsPay Range Transparency: Zone 2 Pay Range: $129,000 — $228,000 USD
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.
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.

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