Databricks
Sr. Staff Product Manager, New Product
Databricks, San Francisco, California, United States, 94199
RDQ424R175
Our mission at Databricks is to be the generational Data and AI company. Databricks has created a new market category of the Data Lakehouse, 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.
This is a unique opportunity to spearhead the inception of an innovative product line and have a huge impact on the entire lakehouse ecosystem. We are looking for a seasoned product visionary who can set the strategic direction and rally multiple stakeholders to actualize an unmatched multi-cloud lakehouse. Intrigued? Let’s chat!
What we look for
8+ years of product management experience
Experience with crafting and building lucrative products with direct revenue from conception to launch
Experience in recognizing customer needs, creating an encapsulating product vision, translating requirements to product specifications, driving alignment with stakeholders, building and launching products, and driving adoption post-launch
Strong bias to ship products by understanding the most critical aspects to make the product successful
Familiarity with basics of databases such as data structures and algorithms, row and columnar stores, networking, query optimization, and execution.
Bachelor's Degree in Computer Science or a related field
Nice to have: Hands-on experience with some of the data analytics products such as 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
Responsibilities
Architect the product vision, strategy and roadmap for a multi-million $ revenue product line, aligning with the company's goals and priorities.
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.
Work with internal and external stakeholders, including senior management, investors, partners and customers, about the value proposition, benefits and status of the product.
Benefits
Comprehensive health coverage including medical, dental, and vision
401(k) Plan
Equity awards
Flexible time off
Paid parental leave
Family Planning
Gym reimbursement
Annual personal development fund
Employee Assistance Program (EAP)
#J-18808-Ljbffr
Our mission at Databricks is to be the generational Data and AI company. Databricks has created a new market category of the Data Lakehouse, 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.
This is a unique opportunity to spearhead the inception of an innovative product line and have a huge impact on the entire lakehouse ecosystem. We are looking for a seasoned product visionary who can set the strategic direction and rally multiple stakeholders to actualize an unmatched multi-cloud lakehouse. Intrigued? Let’s chat!
What we look for
8+ years of product management experience
Experience with crafting and building lucrative products with direct revenue from conception to launch
Experience in recognizing customer needs, creating an encapsulating product vision, translating requirements to product specifications, driving alignment with stakeholders, building and launching products, and driving adoption post-launch
Strong bias to ship products by understanding the most critical aspects to make the product successful
Familiarity with basics of databases such as data structures and algorithms, row and columnar stores, networking, query optimization, and execution.
Bachelor's Degree in Computer Science or a related field
Nice to have: Hands-on experience with some of the data analytics products such as 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
Responsibilities
Architect the product vision, strategy and roadmap for a multi-million $ revenue product line, aligning with the company's goals and priorities.
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.
Work with internal and external stakeholders, including senior management, investors, partners and customers, about the value proposition, benefits and status of the product.
Benefits
Comprehensive health coverage including medical, dental, and vision
401(k) Plan
Equity awards
Flexible time off
Paid parental leave
Family Planning
Gym reimbursement
Annual personal development fund
Employee Assistance Program (EAP)
#J-18808-Ljbffr