Senior Product Manager, Data Engineering

San Francisco, CaliforniaPosted 11 days ago

Role Overview

Databricks is hiring a Senior Product Manager, Data Engineering. This is a full-time role in San Francisco, California. Part of Databricks's Data Science hiring, posted last week. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Manager-level Data Science roles is $190k-$225k (based on 12 comparable listings). Many employers share specifics during the interview process or after an initial screen.

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Job description

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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.

Data Engineering is foundational and among the largest scale workloads on the Databrick Data Intelligence Platform. We are reinventing Data Engineering with Lakeflow - a unified product and experience for simple data ingestion, declarative data transformation, and real-time streaming. In this role, you will lead product management for a core Lakeflow product area. You will own and drive all aspects of product management including vision, strategy, roadmap, execution, and go-to-marketing. In addition, you will partner closely with various Databricks product teams to enable Data Engineering for the overall Databrick product portfolio including data science, data warehousing, business intelligence, and machine learning products.

The impact you will have

Lead product management for one of the fastest growing products and businesses at Databricks
Make company wide impact by driving Data Engineering across the Databricks product portfolio
Develop and deepen understanding of and expertise in Data Engineering, a foundational domain in the data and AI industry
Define, shape, and drive the future of data processing, data applications, and data pipelines
Own the full life cycle of product development from ideation to requirements, development, pricing, launch, and go-to-market.

What We Look For

5+ years of product management and related experience with enterprise or SaaS products.
Educational or professional background in computer science or related engineering fields.
Ability 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 form
A background in Data Engineering is a plus but not required.

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.

Local Pay Range

$115,400—$204,200 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 Twitter, LinkedIn and Facebook.

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.

About Databricks

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Frequently Asked Questions

How do I apply for the Senior Product Manager, Data Engineering position at Databricks?

Use the Apply button above to submit your application directly to Databricks. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Senior Product Manager, Data Engineering position at Databricks located?

This position is based in San Francisco, California. Databricks has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Senior Product Manager, Data Engineering at Databricks earn?

Databricks has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Senior Product Manager, Data Engineering role at Databricks posted?

This role was posted on July 1, 2026 (11 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

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