Sr. Product Manager, New Initiative, Open Lakehouse

RDQ326R105

Do you want to work with creative, passionate, and nurturing team members? Do you want to tackle highly strategic problems that require you to not just look what’s around the corner but play out multiple steps ahead? Does tackling really hard problems and building great products by doing so excite you?

If you answered yes to all the above questions then this role is the right fit for you. 

Our mission at Databricks is to be a generational Data and AI company. Databricks has successfully created a new market category of the Data Lakehouse (CIDR 2021 paper), an open platform that unifies data warehousing, ELT, advanced analytics, and AI. The Lakehouse architecture addresses several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support.

Core to the lakehouse is the catalog - and Unity Catalog is the first open, unified, and intelligent lakehouse catalog, designed to secure and govern all data and AI assets. In this role you will have the opportunity to define industry standards for data+AI governance and interoperability.  This is a rare opportunity to shape the trajectory of a new market category.

As part of the Unity Catalog Ecosystem team, you will ensure that Unity Catalog integrates effortlessly across tools and platforms, empowering enterprises to simplify governance and unlock the full potential of their data.

What is it like to be a PM at Databricks?

• What three new PMs say about their first year at Databricks
• Women in Product at Databricks
• Why Databricks?
  

The impact you will have:

• Architect the product vision, strategy and roadmap for a cross-cutting product line, aligning with the company's goals and priorities.
• Cultivate synergies with engineering and product leadership at major cloud service providers like Azure, AWS, GCP, to guide their roadmaps to build the best experience for our customers 
• Establish a rich ecosystem of partners to enable easy and open access to data 
• Conduct market research and user feedback to identify customer needs and pain points related to database technologies
• Write clear and detailed product specifications, user stories and acceptance criteria for the database system technologies.
• Partner with engineering, design, marketing and sales teams to plan, execute and launch new features and enhancements for the product line
• Monitor and analyze the performance, usage and feedback of the database system, and use data-driven insights to inform product decisions and improvements.
• Communicate effectively with internal and external stakeholders, including senior management, investors, partners and customers, about the value proposition, benefits and status of the product.

What we look for:

• 5+ years of product management experience
• Experience with crafting and building lucrative products with direct revenue from conception to launch
• Proven ability to recognize customer needs, create an encapsulating product vision,  translate requirements to product specifications, drive alignment with stakeholders, build and bring products to market, and drive adoption post-launch 
• Ownership and get-stuff-done attitude
• Strong bias to ship products by understanding the most critical aspects to make the product successful
• Bachelor's Degree in Computer Science or a related field
• MS in Comp Science or related field or MBA 
• (Great to have) Hands-on experience with some of the data analytics products such as Apache Spark™, Postgres, MySQL, Oracle Exadata, Teradata, Netezza, Greenplum, Amazon S3, Redshift, Athena, Glue, Glacier, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS), Delta Lake, Data Lakes, Google BigQuery, Azure Synapse, Snowflake, Apache Hudi, Apache Iceberg
• Familiarity with the basics of databases such as data structures and algorithms, row and columnar stores, networking, query optimization, and execution.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited