Sr. Product Manager, Compute Platform
Company websitedatabricks.com (Databricks, opens in new tab)
Base salary $156,600 to $215,250
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (10 min ago) · observed since
About this job
RDQ127R236
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.
We are looking for a customer-obsessed, strategic, and action-oriented Sr. Product Manager for the Compute Platform. What’s the Compute Platform? Simply, it’s what powers Databricks workloads - providing customers many types of compute for different types of work - Classic Compute, SQL Warehouses, and Serverless Compute. This platform is mission-critical to many Databricks products and features.
This role will be highly cross-functional and deeply technical. It will require coordinating product activities from vision to implementation, including engaging large enterprise 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.
The impact you will have:
- Research, define, and own the product vision, strategy, and roadmap for compute platform features and products (Classic and Serverless)
- Work closely with engineering, design, sales, and marketing to launch new features and drive adoption.
- Engage directly with customers and partners to understand their needs and prioritize high-impact solutions.
- Continually improve efficiency and value for internal stakeholders and external customers though measured and strategic execution.
- Drive competitive differentiation and positioning between our compute platform and competitive SaaS and IaaS products.
- Collaborate with leadership to align product initiatives with business goals.
- Use data-driven insights to measure success, iterate, and improve user experience.
What we look for:
- 5+ years of product management experience, preferably in cloud, analytics, or data platforms.
- Deep understanding of data platforms, the compute products that power them, and compute use cases.
- Educational background in computer science or related engineering practice.
- Experience working with engineers and designers to ship high-impact and cross-functional products.
- Exceptional communication and storytelling skills to inspire teams and stakeholders.
- Experience in working hand-in-hand with enterprise customers and ISV partners in the data market.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) 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 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 anticipates utilizing 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
$156,600—$215,250 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At 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 click here.
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.
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 for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Source: Databricks on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($156,600) is above 28% of the 863 Product roles in California listed on this site; 4 others list the same floor. Their median floor is $176,800; the middle half runs from $151,300 to $205,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingSr. Product Manager, Compute Platform$156,600 to $215,250
Manager, Developer Relations - Open Source$155,100 to $213,300
Senior Software Engineer - Access Management$155,900 to $214,400
Sr Software Engineer -Public Sector$155,900 to $214,400
Sr. Product Manager, Data Governance$156,600 to $215,250
Sr. Product Manager, Databricks Repos$156,600 to $215,250
Sr. Product Manager, Databricks AI$156,600 to $215,250
Chart as a table
| Role | Published base |
|---|---|
| Sr. Product Manager, Compute Platform (this listing) | $156,600 - $215,250 |
| Manager, Developer Relations - Open Source | $155,100 - $213,300 |
| Senior Software Engineer - Access Management | $155,900 - $214,400 |
| Sr Software Engineer -Public Sector | $155,900 - $214,400 |
| Sr. Product Manager, Data Governance | $156,600 - $215,250 |
| Sr. Product Manager, Databricks Repos | $156,600 - $215,250 |
| Sr. Product Manager, Databricks AI | $156,600 - $215,250 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2025-10-07
Where this pay comes from
Location as the employer wrote it: San Francisco, California
USD 156,600 – 215,250 · interval unstated · pay_input_range · base family (R345 D1)
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
