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Databricks

Sr. Product Manager, Databricks AI

Seattle, WA · On-site

$148K - $204K/yr

RDQ127R47 At Databricks, we are passionate about enabling every organization to harness the power of data and AI. Our mission is to build the best platform for developing, deploying, and operating AI ...

Databricks

Sr. Product Manager, Databricks Repos

Seattle, WA · Remote

$144K - $190K/yr

RDQ427R130 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 ...

Databricks

Sr. Product Manager, Databricks AI

Seattle, WA

$144K - $190K/yr

RDQ127R47 At Databricks, we are passionate about enabling every organization to harness the power of data and AI. Our mission is to build the best platform for developing, deploying, and operating AI ...

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How much do databricks jobs pay per year?

As of Jun 5, 2026, the average yearly pay for databricks in the United States is $37,714.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $41,500.00 per year, depending on experience, location, and employer.

What is a Databricks job?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

Does Databricks pay more than Google?

As a data platform company, Databricks generally offers competitive salaries that can be comparable to or slightly lower than Google's, depending on the role, location, and experience level. Google is known for high compensation packages, especially for engineering and technical roles, often including bonuses and stock options, while Databricks also provides attractive pay and benefits for data engineers, data scientists, and software engineers. Salary differences depend on specific job functions, seniority, and geographic location.

What are the key skills and qualifications needed to thrive in the Databricks position, and why are they important?

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

More about Databricks jobs
What cities are hiring for Databricks jobs? Cities with the most Databricks job openings:
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What states have the most Databricks jobs? States with the most job openings for Databricks jobs include:
What job categories do people searching Databricks jobs look for? The top searched job categories for Databricks jobs are:
Databricks jobs near you
Infographic showing various Databricks job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $37,714 per year, or $18.1 per hour.
Sr. Product Manager, Databricks AI

Sr. Product Manager, Databricks AI

Databricks

San Francisco, CA • On-site

$156K - $215K/yr

Full-time

Posted 12 days ago

Job description

RDQ127R47
At Databricks, we are passionate about enabling every organization to harness the power of data and AI. Our mission is to build the best platform for developing, deploying, and operating AI applications at scale-so customers can use intelligence to transform their businesses.
More about the Team:
The Databricks AI team is at the forefront of shaping how enterprises leverage AI. Our mission is to create foundational capabilities that empower customers to develop agents and models, orchestrate complex workflows, and seamlessly integrate AI into their data and applications. The AI industry is evolving rapidly, and our work demands both first-principles thinking and the agility to adapt to these changes. We are not just building features; we are fundamentally transforming how the world builds with AI.
The impact you will have:
  • Shape the future of enterprise AI: Define and drive the vision for how Databricks helps customers harness generative AI, agents, and new workloads that don't exist yet
  • Turn breakthroughs into products: Partner with world-class engineering and research teams to transform cutting-edge AI advancements into practical, trusted tools for millions of users.
  • Expand what's possible for customers: Engage directly with data and AI leaders to uncover new use cases - then design products that make the once-impossible accessible and repeatable.
  • Be the voice of vision and execution: From concept to launch, you will inspire the roadmap, guide engineering, and tell the story of how Databricks AI is changing what customers can achieve.
  • Build for scale and longevity: Define the strategy and principles that will guide Databricks AI for years, even as the industry evolves at unprecedented speed.

What we look for:
  • 5+ years of product management or equivalent experience, preferably with enterprise SaaS or developer platforms.
  • Strong technical background in computer science, AI/ML, or related engineering fields (educational or professional).
  • Proven ability to partner with senior engineers and research leaders, going deep on technical concepts while maintaining clarity on customer value.
  • Track record of bringing products from vision to launch in fast-moving, competitive spaces.
  • Strong analytical skills-comfortable working with SQL, product usage data, and operational dashboards.
  • Excellent communication and storytelling skills to engage diverse stakeholders (customers, engineering, go-to-market).
  • Bonus: exposure to building AI/ML or generative AI-powered products.

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 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.
BenefitsAt 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.

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