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Sr. Product Manager, Cost Management and ROI Reporting

Seattle, Washington


At 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. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

You will allow customers to be effective with their investments in data and AI technology so they can solve their toughest problems; curing diseases, training LLMs, powering electric vehicles, winning championships, and more

Databricks can lower total cost of ownership (TCO) by 50%+ compared to other multi-cloud data platforms - but confidently assessing that on a continual basis remains a challenge for many customers. You will define the roadmap of features that allows customers to have a single pane of glass to understand how they are spending money and wisely allocate their efforts.

The impact you will have:

  • Make it incredibly simple to report in a single pane of glass on the cost of data and AI projects
  • Define a platform and APIs that enable the customer to answer these questions on many surfaces - in-app, calculator tools, command line interfaces, BI tools, third party cost management applications, widgets, etc.
  • Work with customers to understand their priorities and use it to inform our roadmap
  • Collaborate with PMs from all of the Databricks data and AI products to ensure our innovative products meet the cost management needs of customers, so we can accelerate their uptake and adoption

What we look for:

  • 5+ years of b2b product management experience
  • Experience with customer conversations, writing PRDs, determining success metrics, prioritizing features, guiding engineering and design work.
  • Experience with conveying ideas simply in written form.
  • Familiarity with consumption based cloud technologies, e.g. AWS, Azure, GCP
  • Data analysis skills (SQL or Python, in-product behavior analysis in Google Analytics, Heap or similar products)
  • Product Management experience with a passion for improving user experience
  • Work well across multiple teams in the company


  • 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)

Pay Range Transparency

Databricks 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 2 Pay Range
$109,500$194,000 USD

About Databricks

Databricks 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 TwitterLinkedIn and Facebook.

Our Commitment to Diversity and Inclusion

At 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.


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 for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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