{"id":156401,"url":"https://alion.io/job/databricks-associate-product-manager-new-grad-2027-start","title":"Associate Product Manager, New Grad (2027 Start)","company":{"id":15,"name":"Databricks","domain":"databricks.com","url":"https://alion.io/company/databricks","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":88,"open_postings":826,"ghost_share":0,"stale_share":0.26,"repost_share":0.005,"time_to_fill_p50_days":82,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Product","role_family":"Product","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bellevue, United States","San Francisco, United States","Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":133000,"max":150000,"currency":"USD","period":"year","gross":null,"usd_annual":150000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2024-08-08T22:52:06Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-11-12T05:16:47Z","board_verified":true,"closed_at":null,"days_open":825,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":825},"description":"P-1336\nAt 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.\nAs 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.\nWe are hiring for San Francisco, CA, Mountain View, CA, and Bellevue, WA.\nThe impact you will have:\nDeeply understand customer problem space and establish the rails for viable solution space\nPrototype and test early ideas with customers and engineers to validate direction before the team commits to a build\nWork with engineers and designers to ship features on the Databricks platformWork with a team to build features for the Databricks platform\nOwn your project end-to-end - design, build, launch, and iterate on feedbackManage your project end-to-end, including design, code, launch and feedback\nBuild with scale, quality, and security in mind from day oneLearn about building a platform that scales quickly while maintaining quality and security\nWhat we look for:\nYou will graduate in Fall 2026 or Spring 2027 with a bachelors or masters degree in computer science or related engineering practice\nPursuing a bachelor's or master's in computer science or a related engineering field\nYou've used AI tooling for both personal productivity and development projects\nYou have some first hand experience with SQL and/or Python\nYou're hands-on and learn by doing - happy to build, test, and iterate your way to an answer\nYou use analytical skills to make data-driven decisions (e.g. analyzing product usage)\nYou can make complex topics simple and communicate nuance to partners (engineers, customers, field) in both written and verbal form\nYou're excited to solve ambiguous problems with a collaborative team\nYou 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\nPay Range Transparency\nDatabricks 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.\nLocal Pay Range\n$133,000—$150,000 USD\nAbout Databricks\nDatabricks 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.\nBenefits\n 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.\nOur Commitment to Diversity and Inclusion\nAt 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. 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