Databricks Inc.
Staff Product Manager, Runtime San Francisco, California
Databricks Inc., San Francisco, California, United States, 94199
Overview
You will be the Product Manager for the Databricks Runtime team. The team works at the intersection of query processing, storage, infrastructure and data governance, all key components of the Databricks data intelligence platform. As the Product Manager, you will develop a deep understanding of modern cloud infrastructure, data governance solutions, and open source components, and gather requirements from customers. You will launch features that will impact how customers process petabytes of data every day and make it simpler for them to draw value from their data. This role requires coordinating all product activities from vision to implementation, including engaging customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. Responsibilities
Coordinate all product activities from vision to implementation, including engaging customers, developing long-term product strategy, defining roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. Own the end-to-end product management process and gather customer requirements, design features and collaborate with engineering to deliver a polished market-ready product. Drive launches with product marketing through blog posts, release notes, webinars. Define and measure OKRs for your products. Drive prioritization and development of features, measurably reducing the cost and time needed for operating ETL and machine learning workflows. Qualifications
7+ years of experience leading technically complex enterprise products Bachelors degree in Computer Science or similar field Solid understanding of cloud infrastructure (AWS, Azure) Strong data analysis and operationalization skills (SQL, rollups, building operational dashboards) Pay Transparency
Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on factors including job-related skills, depth of experience, certifications and training, and location. The total compensation package may also include eligibility for annual performance bonus, equity, and benefits. Zone 1 Pay Range $159,500 — $223,325 USD About Databricks
Databricks is the data and AI company. The Databricks Data Intelligence Platform unifies data, analytics and AI used by more than 10,000 organizations worldwide. Databricks is headquartered in San Francisco, with offices globally, and was founded by the creators of Lakehouse, Apache Spark, Delta Lake and MLflow. Diversity and Inclusion
Databricks is committed to fostering a diverse and inclusive culture. We ensure hiring practices are inclusive and meet equal employment opportunity standards. We do not discriminate on protected characteristics. Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license, and the employer may decline to proceed for this reason alone.
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You will be the Product Manager for the Databricks Runtime team. The team works at the intersection of query processing, storage, infrastructure and data governance, all key components of the Databricks data intelligence platform. As the Product Manager, you will develop a deep understanding of modern cloud infrastructure, data governance solutions, and open source components, and gather requirements from customers. You will launch features that will impact how customers process petabytes of data every day and make it simpler for them to draw value from their data. This role requires coordinating all product activities from vision to implementation, including engaging customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. Responsibilities
Coordinate all product activities from vision to implementation, including engaging customers, developing long-term product strategy, defining roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. Own the end-to-end product management process and gather customer requirements, design features and collaborate with engineering to deliver a polished market-ready product. Drive launches with product marketing through blog posts, release notes, webinars. Define and measure OKRs for your products. Drive prioritization and development of features, measurably reducing the cost and time needed for operating ETL and machine learning workflows. Qualifications
7+ years of experience leading technically complex enterprise products Bachelors degree in Computer Science or similar field Solid understanding of cloud infrastructure (AWS, Azure) Strong data analysis and operationalization skills (SQL, rollups, building operational dashboards) Pay Transparency
Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on factors including job-related skills, depth of experience, certifications and training, and location. The total compensation package may also include eligibility for annual performance bonus, equity, and benefits. Zone 1 Pay Range $159,500 — $223,325 USD About Databricks
Databricks is the data and AI company. The Databricks Data Intelligence Platform unifies data, analytics and AI used by more than 10,000 organizations worldwide. Databricks is headquartered in San Francisco, with offices globally, and was founded by the creators of Lakehouse, Apache Spark, Delta Lake and MLflow. Diversity and Inclusion
Databricks is committed to fostering a diverse and inclusive culture. We ensure hiring practices are inclusive and meet equal employment opportunity standards. We do not discriminate on protected characteristics. Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license, and the employer may decline to proceed for this reason alone.
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