Databricks is the lakehouse company$1. .$1
Apache Spark • Apache Spark Training • Cloud Computing • Big Data • Data Science
March 20
🏢 In-office - San Francisco
Databricks is the lakehouse company$1. .$1
Apache Spark • Apache Spark Training • Cloud Computing • Big Data • Data Science
• 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.
• 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
• 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)
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