Sr. Product Manager, Compute Platform
- Salary
- $156,600 - $215,250
- Level
- Lead
Not stated in the posting: work type, visa.
Open. First seen 3 October 2026.
About the role
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
Databricks's standard text
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.
What this role asks for
Particular to this role
Serverless
Rare in Databricks's other 299 open postings.
In most of Databricks's ads
Unity
Named in most of its open postings, whatever the role.
74% of this description is written for the role. The rest is Databricks's standard text, folded away below.
Read against Databricks's other open postings on this site.
The team: Product HIRES STEADILY
This role is one of 36 open in Product. 5 were posted in the last 30 days and the oldest in August: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Databricks (36 of 36), Unity (36 of 36), SQL (14 of 36), Machine Learning (13 of 36), Python (11 of 36), Azure (10 of 36), Spark (9 of 36)
OTHER ROLES ON THIS TEAM
- Technical Business Development Manager, Startup & VC Ecosystem posted Oct 13
- Sr. Product Manager, Lakebase/Lakehouse posted Oct 7
- Sr. Product Manager, Lakebase/Lakehouse posted Oct 7
- Staff Product Designer, Agentic Coding posted Sep 29
- Staff Product Manager, US Public Sector posted Sep 23
- Sr. Technology Partner Director - AI Code-Gen & Apps posted Aug 20
- Sr. Developer Advocate, Open Source — Omnigent posted Aug 14
- Sr. Developer Advocate, Open Source — Omnigent posted Aug 14
- Sr. Developer Advocate, AI and Machine Learning posted Aug 14
- Sr. Developer Advocate, AI and Machine Learning posted Aug 14
- Manager, Developer Relations - Open Source posted Aug 14
- Manager, Developer Relations - Open Source posted Aug 14
- Partner Engineer: Partner Intelligence, AI & Apps posted Jul 22
- Staff Partner Engineer, AI Partnerships posted Jul 22
- Staff Product Designer, AI Products posted Jun 11
- Staff Partner Engineer, Azure posted Apr 16
- Sr. Developer Advocate - Neon posted Feb 19
- Sr. Product Designer, AI/BI posted Feb 19
- Staff Product Manager, Serverless Workspaces posted Feb 18
- Staff Product Manager, Serverless Workspaces posted Feb 18
- Sr. Product Manager, Databricks Repos posted Dec 5
- Sr. Product Manager, Databricks Repos posted Dec 5
- Sr. Product Manager, Databricks Free Edition posted Oct 31
- Sr. Product Manager, Compute Platform posted Oct 7
- Sr. Product Manager, Lakeflow posted Sep 29
- Sr. Product Manager, Databricks AI posted Aug 25
- Sr. Product Manager, Databricks AI posted Aug 25
- Sr. Product Manager, Data Governance posted Feb 14
- Sr. Product Manager, Data Governance posted Feb 14
- Sr. Product Manager, Databricks Free Edition posted Oct 11
- Staff Product Manager posted Sep 20
- Staff Product Manager posted Sep 20
- Staff Product Manager, Security posted Feb 6
- Staff Product Manager, Security posted Feb 6
- Sr. Product Manager, Data Engineering posted Aug 11
From the team and dates on Databricks's own job board.
See Product Manager salaries in San Francisco →
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