Mountain View, California, United States · On-site
$51/hr–$56/hr
Entry level$27B raised
P-982 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 …
Skills: Product Management, SQL, Python, Data Analysis, Prototyping
Mountain View, California, United States · On-site
$229k–$297k/yr
Senior+$27B raised
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Skills: Engineering Management, GPU Training Infrastructure, Distributed Training, PyTorch, DeepSpeed
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Entry level
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San Mateo, California, United States · Hybrid
$200k–$270k/yr
Senior$5M raised
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GreenWave Radios™
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San Jose, California, United States · On-site
$180k–$200k/yr
Senior+
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San Francisco, California, United States · On-site
Senior$2M raised
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San Francisco, California, United States · Remote OK
$120k–$172k/yr
Mid level$82M raised
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Mountain View, California, United States · On-site
$164k–$325k/yr
Senior+
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Senior Manager, Robot Intelligence Data Efficiency
Mountain View, California, United States · On-site
$204k–$306k/yr
Senior+
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PSM and RBI Engineer-Asset Integrity-Software-Oil & Gas Industry
Santa Clara, California, United States · Remote OK
$100k–$160k/yr
Senior
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$51/hr–$56/hr
Internship
bachelor degree, postgraduate degree
Annual Performance Bonus, Equity
Posted 16d ago
~40 hrs/week
Responsibilities
The intern will identify customer problems and prototype viable solutions to be shipped on the Databricks platform. They will own projects end-to-end, from design and build to launch and iteration based on feedback.
Requirements
Candidates must be pursuing a bachelor's or master's in computer science or a related engineering field with a graduation date in late 2027 or early 2028. Proficiency in SQL, Python, and the use of AI tools for productivity and development is required.
Full job description
P-982
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 a ProductManagementIntern,you willjoin ateam that works diligently to understand and solve our customers' most challenging problems. You will learn how to be a successful PM at a high-growth enterprise technology company that operates at theimportantintersection of data and AI. 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 intern cohort, you will have a dedicated manager and mentor as well as two mentors and connect with product managers, engineers, designers, account teams, other interns, and leaders from across the company.
This is a 12 week paid summer internship program in either San Francisco, CA, Mountain View, CA, or 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:
Pursuing a bachelor's or master's in computer science or a related engineering field graduating in Fall 2027 or Spring 2028
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.
SF Bay Area Hourly Rate
$54—$56 USD
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 anticpates 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.
Bellevue, Washington Hourly Rate
$51.50—$53.50 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.
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks 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 Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog.
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Databricks applicants
Please apply through our official Careers page at databricks.com/company/careers.
All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
Offices: 160 Spear Street, 13th Floor, San Francisco, CA 94105, US · Fora 22 Berners Street, London, England W1T 3LP, GB · Barbara Strozzilaan 350, 2nd floor, Amsterdam, HN 1083, NL · 11 W 42nd St, 30th Floor, New York, NY 10036, US · 120 Adelaide St W, Toronto, Ontario M5H, CA
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