Summary written by USA Jobs 24 from Databricks' advert and our data on 17,030 current US jobs. How we check every job
At a glance
Databricks is hiring a Sr. Product Manager, Lakebase/Lakehouse in Seattle, WA; San Francisco, CA. It is a full-time role in Product, Design & Programs, asking for at least 5 years of experience, first listed on November 1. The advertised pay is $156,600–$215,250 a year. The description mentions SQL and Excel. Databricks has 99 other openings in the US, 16 of them in Seattle, WA. Across all employers on USA Jobs 24 there are 62 Product & Design openings in Seattle, WA today; the typical one asks for 5 years and advertises about $190,000 a year at the midpoint.
How the pay compares
Databricks advertises $156,600 to $215,250 a year, a midpoint of $185,925 a year. Where an offer lands in a range usually depends on experience and on the exact location. That is lower than about 51% of the 59 product & design jobs in Washington that publish a yearly rate on USA Jobs 24, where the typical midpoint is $186,000 a year. To see roughly what this leaves after federal and Washington tax, try our take-home pay calculator.
Skills in this advert
How often each skill named in this advert appears across the 941 product & design jobs we list today. SQL is the most widely requested (7% of jobs), while Excel is the least common (6%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
Paste your resume and this advert into our resume match tool to see which of these words your resume already covers.
Before you apply
- Check it is still open. We found this job on Databricks' Greenhouse site on November 1 and checked it again November 4, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in Seattle, WA (or one of 1 other locations). If you would need to move, ask whether relocation help is offered.
- Match the experience. The advert asks for at least 5 years of experience. If you are a little short, a close match on the skills in the advert can still win an interview.
- Tailor your resume. Use the advert's own words, such as SQL and Excel, wherever they are true for you. Our resume guide shows how.
- Know your number. Decide the lowest offer you would accept before the first call. Our salary negotiation guide explains how to ask for more.
- Apply only through Databricks' own site. Our Apply button goes straight to Databricks' Greenhouse page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at Databricks
Databricks has 100 openings on USA Jobs 24 today across 24 states. Most are in software & IT (36), sales & BD (23) and data & AI (11). The biggest locations are San Francisco, CA (37), California, CA (25) and New York, NY (18). 54% of them are remote, 3% are open to entry-level candidates and 87% show pay. We collect Databricks' jobs every day straight from its own careers system (Greenhouse), never from job boards or agencies.
The employer's advert
This is Databricks' own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from DatabricksHide the advert995 words
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At Databricks, we are delivering Data & AI for enterprises & startups around the world. Our Lakehouse and Lakebase products are at the forefront of enabling customers to get more value from their data. Read this seminal blog from Databricks co-founders on What is a Lakehouse and A New Era of Databases: Lakebase.
We're looking for a passionate, strategic, and customer-obsessed Product Manager to drive innovation, shape our roadmap, and lead these product areas into its next phase of growth. These roles come with ever expanding scope with critical responsibilities. You will get to choose if you can want to continue down the IC ladder or transfer to management ladder.
Why Join Us?
- Be a Game-Changer: Work on a cutting-edge product that transforms how companies handle big data and AI-driven analytics.
- Massive Impact: Help enterprises make faster, smarter decisions with a lakehouse architecture that breaks silos.
- Hyper-Growth Environment: Join a fast-paced, collaborative team where your ideas directly shape the future.
- Customer-Centric Innovation: Build features that solve real problems for data analysts, engineers, and business leaders worldwide.
The impact you will have:
- Own and define the product vision, strategy, and roadmap for Databricks SQL
- 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.
- Drive competitive differentiation and positioning in the cloud data warehouse market.
- 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).
- Ability to break down complex problems into simple, scalable solutions.
- Strong sense of ownership—you thrive in ambiguity and love solving hard problems
- Experience working with engineers and designers to ship high-impact products.
- Exceptional communication and storytelling skills to inspire teams and stakeholders.
- It is not necessary but good to have understanding of Databases, SQL, data warehousing, BI, and analytics use cases.
Ready to Build the Future?
If you're excited about shaping the next evolution of data warehousing and analytics, we’d love to hear from you! Apply today and let’s build something incredible together.
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
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 2 Pay Range
$148,800—$204,525 USD
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 3 Pay Range
$133,100—$182,975 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.
USA Jobs 24 copied this listing from Databricks' official careers site on November 1, 2026 and checked it again November 4, 5:17 AM ET. Databricks will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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