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 platform
Own your project end-to-end — design, build, launch, and iterate on feedback
Build with scale, quality, and security in mind from day one
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
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.
Local Pay Range: $133,000—$150,000 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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
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.
From Databricks's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.
