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Product Manager, Data Governance and Compliance
2 months ago
We are seeking an experienced Product Manager to join our Platform PM team at Databricks Inc. This team is responsible for the setup, ongoing administration, and governance of the Lakehouse platform, which is critical in driving the broad adoption of Databricks within an organization.
Key Responsibilities- Envision and deliver new products and features from concept to launch and rollout, including customer validation, marketing plan, documentation, and field enablement.
- Own and drive projects spanning multiple engineering groups.
- Launch platform capabilities to manage the Databricks platform at scale and enable compliance with organizational policies.
- Partner with the Data Science team and introduce new capabilities to optimize the Databricks usage for performance and cost.
- Enhance Databricks workspace resource and lifecycle management.
- Bring deep insights about the Databricks admin persona to the engineering and leadership teams by working closely with our customers and field.
- Mentor and develop junior PMs.
- 5+ years of Product Management experience.
- An accomplished product manager with prior experience launching and growing enterprise SaaS products.
- Must have experience working with large-scale IaaS/SaaS platforms or enterprise B2B products.
- Should have technical knowledge and experience working with cloud governance and access management products.
- Demonstrated experience partnering with technical leaders with an ability to deep-dive into complex technical concepts.
- Passion for designing products that simplify the admin persona experience.
- Must have experience presenting at conferences, interacting with press and analysts, and developing junior PMs.
- Familiarity with data, ML, and AI technologies.
- Ownership and get-stuff-done attitude.
- Educational background in computer science or related engineering field.
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 InclusionAt 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.