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Benefits & Perks
•Equity
•Equity
Required Skills
Strategic thinking
Business analysis
Problem-solving
Communication
P-1060
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 Strategy and Execution Intern, you will join our world-class strategy and operations team to drive insights and impact across Databricks. During your 12 week internship you’ll work on projects spanning Go-To-Market Strategy and Operations or Commercial/Partner Transformations teams with opportunities for full time employment in these functions the following year.
Throughout the internship, you will be mentored by a dedicated sponsor and have the opportunity to connect with senior leaders across the organization.
Impact you will have:
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Collaborate with team members across multiple functions on challenging projects varying from international strategy, go-to-market strategy and operations and new product introductions and long range planning.
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Structure ambiguous business problems. Conduct thorough and accurate qualitative and quantitative analysis. Synthesize complex information into clear, insightful takeaways and action-oriented recommendations. Communicate effectively with senior leadership and cross-functional stakeholders to drive implementation and impact.
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Provide visibility and performance tracking to the business (Operational councils, Ops reviews, rep. efficiency and productivity Indicators, dashboards)
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Help build our data and reporting foundation
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Increase your understanding of enterprise software business problems and develop new skills to help you at every stage of your career at Databricks and beyond.
Who You Are:
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You will graduate in Spring 2027 from an MBA program.
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You have 3-5 years of previous professional experience in management consulting, investment banking, strategy, operations, business analysis, or related fields.
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You demonstrate an advanced ability to define and break down ambiguous and complex business problems with limited guidance
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You are an excellent communicator (written and oral), with an ability to synthesize complex information into clear, insightful takeaways and action-oriented recommendations.
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You put the team before yourself and are willing to get hands-on, no matter how small the task
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Previous experience in enterprise software preferred.
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Previous experience with SQL preferred.
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**$40—$45 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, please visit https://www.mybenefitsnow.com/databricks.
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.
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About Databricks

Databricks
Series IDatabricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.
6,000+
Employees
San Francisco
Headquarters
$43B
Valuation
Reviews
4.2
9 reviews
Work Life Balance
3.5
Compensation
4.7
Culture
4.3
Career
4.5
Management
4.0
86%
Recommend to a Friend
Pros
Working on industry-leading data and AI platform
Excellent compensation with high equity upside
Strong engineering culture with Apache Spark creators
Cons
High intensity work environment with demanding deadlines
Work-life balance can suffer during key releases
Growing pains as company scales rapidly
Salary Ranges
25 data points
Mid/L4
Senior/L5
Director
Mid/L4 · Global Mobility Operations Manager
2 reports
$149,582
total / year
Base
$130,071
Stock
-
Bonus
-
$144,210
$154,953
Interview Experience
9 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Offer Rate
22%
Experience
Positive 22%
Neutral 67%
Negative 11%
Interview Process
1
Application Review
2
Recruiter/Phone Screen
3
Technical Interview/Coding Round
4
System Design Interview
5
Behavioral Interview
6
Final Round/Hiring Manager Interview
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
News & Buzz
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