Databricks Logo

Databricks

Associate Product Manager, New Grad (2027 Start)

Reposted One Month Ago
In-Office
2 Locations
133K-150K Annually
Entry level
In-Office
2 Locations
133K-150K Annually
Entry level
Join Databricks' 2027 APM cohort to own end-to-end product projects: understand customer problems, prototype and validate ideas, work with engineers and designers to build and launch features on the Databricks platform, and iterate using data-driven feedback.
The summary above was generated by AI

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 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. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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.

HQ

Databricks San Francisco, California, USA Office

160 Spear Street, San Francisco, CA, United States, 94105

Databricks Mountain View, California, USA Office

351 E Evelyn Ave Mountain View, CA USA, Mountain View, United States, 94041

Similar Jobs

28 Minutes Ago
In-Office
170K-260K Annually
Senior level
170K-260K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Designs and optimizes low-observable aircraft features, including RCS shaping, edge treatments, radar-absorbing materials, and subsystem integration. Conducts electromagnetic signature modeling, supports RCS testing and validation, translates threats into survivability requirements, and collaborates across propulsion, avionics, structures, materials, manufacturing, and AI teams. The role also contributes to threat modeling, customer assessments, and program milestone decisions for autonomous aircraft.
Top Skills: Cst Studio SuiteHfssLow-Observable (Lo) MaterialsRadar Cross-Section (Rcs) ModelingRadar-Absorbing Materials (Ram)SentriXpatch
42 Minutes Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
83K-140K Annually
Senior level
83K-140K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Own the three-statement financial model, monthly forecast consolidation, executive and board reporting, long-range planning, and corporate forecasting. The role partners with Finance Systems and cross-functional stakeholders to maintain planning tools, improve forecast accuracy, support AI-driven finance systems, analyze business performance, and inform strategic decisions. It requires strong financial modeling, communication, presentation, and process-improvement skills.
Top Skills: ChatgptClaudeCursorDatabricksGeminiGleanGoogle SheetsGoogle SlidesExcelMicrosoft PowerpointNetSuiteWorkday Adaptive Planning
54 Minutes Ago
Remote or Hybrid
United States
60K-85K Annually
Junior
60K-85K Annually
Junior
Insurance • Logistics • Software • Transportation • Business Intelligence
Respond to and qualify inbound leads from marketing campaigns, website inquiries, and content engagement. Research prospects, nurture sales-ready opportunities through email and phone follow-up, schedule qualified meetings, meet pipeline and quota targets, track activity in Salesforce, and partner with marketing on lead quality and campaign performance.
Top Skills: HubspotLinkedin Sales NavigatorSalesforce CRMZoominfo

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account