Associate Product Manager, Data & AI Platform

Cacheflow; California (MO); On-site; USD 133,000 - 150,000; Full time

Benefits offered by this job

Health benefits

Equity

Performance bonuses

Job summary

Databricks is hiring an Associate Product Manager to join teams across AI Platform, Genie, ML, Unity Catalog, Databricks SQL, ETL, Streaming and EDA in multiple locations.

The role focuses on understanding customer problems, prototyping ideas with customers and engineers, and shipping features on the Databricks platform with end-to-end ownership.

Qualifications

• Experience with SQL and/or Python.
• Analytical skills to make data-driven decisions.
• Ability to communicate complex topics clearly with engineers and customers.
• Hands-on approach to building, testing and iterating solutions.

Responsibilities

• Understand customer problems and define viable solution space.
• Prototype and test early ideas with customers and engineers.
• Collaborate with engineers and designers to ship features on the Databricks platform.
• Own projects end-to-end from design to launch and iteration.

Skills

SQL

Python

Analytical thinking

Hands-on learning

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Job description

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.

Local Pay Range

$133,000—$150,000 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.