Sr. Product Manager, Databricks SaaS at DataBricks
San Francisco, CA
About the Job
RDQ126R51Databricks mission is to democratize Data and AI
To do that, it has to be simple for anyone, regardless of their role or prior knowledge with cloud infrastructure, to be able to sign up for and start using Databricks
As part of the Databricks SaaS team, you’ll help build the simpler version of Databricks that can be used by anyone.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 cross-functional teams (both pre- and post-launch) to ensure product success.The impact you will have:Grow Databricks “TAM” and dramatically increase the number of customers that Databricks has.Own the end-to-end product management processGather customer requirements, design features and collaborate with engineering to deliver a polished market-ready productDrive launches with product marketing through blog posts, release notes, webinarsDefine and measure OKRs for your productsWhat we look for:5+ years of product management and related experience with enterprise or SaaS productsEducational or professional background in computer science or related engineering fieldsAbility 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 formStrong data analysis and operationalization skills (SQL, rollups, building operational dashboards)Bonus: experience working on product-led growth, anti-abuse efforts, or any fast-growing SaaS or consumer product.Bonus: Solid understanding of cloud infrastructure (AWS, Azure)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.
To do that, it has to be simple for anyone, regardless of their role or prior knowledge with cloud infrastructure, to be able to sign up for and start using Databricks
As part of the Databricks SaaS team, you’ll help build the simpler version of Databricks that can be used by anyone.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 cross-functional teams (both pre- and post-launch) to ensure product success.The impact you will have:Grow Databricks “TAM” and dramatically increase the number of customers that Databricks has.Own the end-to-end product management processGather customer requirements, design features and collaborate with engineering to deliver a polished market-ready productDrive launches with product marketing through blog posts, release notes, webinarsDefine and measure OKRs for your productsWhat we look for:5+ years of product management and related experience with enterprise or SaaS productsEducational or professional background in computer science or related engineering fieldsAbility 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 formStrong data analysis and operationalization skills (SQL, rollups, building operational dashboards)Bonus: experience working on product-led growth, anti-abuse efforts, or any fast-growing SaaS or consumer product.Bonus: Solid understanding of cloud infrastructure (AWS, Azure)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.
