P-1336
At Databricks, we are passionate about helping data teams 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.
As an Associate Product Manager, you will join a team that works diligently to understand and solve our customers’ most challenging problems. We're hiring across all of our teams, including AI Platform, Genie, Machine Learning, Unity Catalog, Databricks SQL, ETL, Streaming, and EDA. As part of our 2027 APM cohort, you will have a dedicated manager and mentor as well as connect with product managers, engineers, designers, account teams, other interns, and leaders from across the company.
We are hiring for San Francisco, CA, Mountain View, CA, and Bellevue, WA.
The impact you will have:
- Deeply understand customer problem space and establish the rails for viable solution space
- Prototype and test early ideas with customers and engineers to validate direction before the team commits to a build
- Work with engineers and designers to ship features on the Databricks platformWork with a team to build features for the Databricks platform
- Own your project end-to-end — design, build, launch, and iterate on feedbackManage your project end-to-end, including design, code, launch and feedback
- Build with scale, quality, and security in mind from day oneLearn about building a platform that scales quickly while maintaining quality and security
What we look for:
- You will graduate in Fall 2026 or Spring 2027 with a bachelors or masters degree in computer science or related engineering practice
- Pursuing a bachelor's or master's in computer science or a related engineering field
- You've used AI tooling for both personal productivity and development projects
- You have some first hand experience with SQL and/or Python
- You're hands-on and learn by doing — happy to build, test, and iterate your way to an answer
- You use analytical skills to make data-driven decisions (e.g. analyzing product usage)
- You can make complex topics simple and communicate nuance to partners (engineers, customers, field) in both written and verbal form
- You're excited to solve ambiguous problems with a collaborative team
- You stay curious and keep learning, whether it's a new technology, a customer's domain, or a corner of the product you haven't touched
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.
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.
Skills Required
- Graduate in Fall 2026 or Spring 2027 with a bachelor's or master's in computer science or a related engineering field.
- Experience using AI tooling for productivity and development projects.
- Hands-on experience with SQL and/or Python.
- Hands-on, build-test-iterate mindset; comfortable prototyping and validating ideas.
- Analytical skills to make data-driven decisions (e.g., analyzing product usage).
- Strong written and verbal communication to explain complex topics to engineers, customers, and partners.
- Ability to solve ambiguous problems collaboratively and a demonstrated curiosity to learn new technologies and domains.
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
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Healthcare Strength — Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
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Parental & Family Support — Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
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