Sr. Product Manager, Data Engineering at DataBricks
San Francisco, CA
About the Job
RDQ425R28At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs
We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.Data Engineering is one of the fastest growing product areas of the Databrick Lakehouse platform
We are innovating towards simple data ingestion, real-time stream processing, and a declarative framework and experience for ETL
In this role, you will lead product management for a core Data Engineering area
You will own and drive all aspects of product management including vision, strategy, roadmap, execution, and go-to-marketing
In addition, you will partner closely with various Databricks product teams to enable Data Engineering for the overall Databrick product portfolio including data science, data warehousing, and machine learning products.The impact you will haveLead product management for one of the fastest growing businesses at DatabricksMake company wide impact by driving Data Engineering across the Databricks product portfolioDevelop and deepen understanding of and expertise in Data Engineering, a foundational domain in the data and AI industryDefine, shape, and drive the future of data processing, data applications, and data pipelinesOwn the full life cycle of product development from ideation to requirements, development, pricing, launch, and go-to-market.What we look for5+ years of product management and related experience with enterprise or SaaS products.Educational or professional background in computer science or related engineering fields.Ability to partner with senior technical leaders from Engineering, while going deep on technical concepts.Track record of delivering products with cross-functional teams common to enterprise software industry (field engineering, sales, marketing, partnerships, etc.)Analytical skills to make data-driven decisions (e.g
analyze product usage)Excellent communication skills to clearly and concisely communicate complex topics to diverse stakeholders (engineers, customers, etc.) in written and verbal formA background in Data Engineering is a plus but not required.Pay Range TransparencyDatabricks 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 to job-related skills, depth of experience, relevant certifications and training, and specific work location
Based on the factors above, Databricks utilizes the full width of the range
The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above
For more information regarding which range your location is in visit our page here.Zone 1 Pay Range$115,400—$204,200 USDAbout DatabricksDatabricks 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
To learn more, follow Databricks on Twitter, LinkedIn and Facebook.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
For specific details on the benefits offered in your region, please visit . 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.ComplianceIf 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 for such positions, and Employer may decline to proceed with an applicant on this basis alone.
We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.Data Engineering is one of the fastest growing product areas of the Databrick Lakehouse platform
We are innovating towards simple data ingestion, real-time stream processing, and a declarative framework and experience for ETL
In this role, you will lead product management for a core Data Engineering area
You will own and drive all aspects of product management including vision, strategy, roadmap, execution, and go-to-marketing
In addition, you will partner closely with various Databricks product teams to enable Data Engineering for the overall Databrick product portfolio including data science, data warehousing, and machine learning products.The impact you will haveLead product management for one of the fastest growing businesses at DatabricksMake company wide impact by driving Data Engineering across the Databricks product portfolioDevelop and deepen understanding of and expertise in Data Engineering, a foundational domain in the data and AI industryDefine, shape, and drive the future of data processing, data applications, and data pipelinesOwn the full life cycle of product development from ideation to requirements, development, pricing, launch, and go-to-market.What we look for5+ years of product management and related experience with enterprise or SaaS products.Educational or professional background in computer science or related engineering fields.Ability to partner with senior technical leaders from Engineering, while going deep on technical concepts.Track record of delivering products with cross-functional teams common to enterprise software industry (field engineering, sales, marketing, partnerships, etc.)Analytical skills to make data-driven decisions (e.g
analyze product usage)Excellent communication skills to clearly and concisely communicate complex topics to diverse stakeholders (engineers, customers, etc.) in written and verbal formA background in Data Engineering is a plus but not required.Pay Range TransparencyDatabricks 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 to job-related skills, depth of experience, relevant certifications and training, and specific work location
Based on the factors above, Databricks utilizes the full width of the range
The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above
For more information regarding which range your location is in visit our page here.Zone 1 Pay Range$115,400—$204,200 USDAbout DatabricksDatabricks 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
To learn more, follow Databricks on Twitter, LinkedIn and Facebook.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
For specific details on the benefits offered in your region, please visit . 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.ComplianceIf 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 for such positions, and Employer may decline to proceed with an applicant on this basis alone.
