MBA Intern - Technical Program Management; TPM

MBA Intern - Technical Program Management (TPM)

RDQ
227R1171

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 TPM Intern, you will be the primary driver behind the successful delivery of complex technical initiatives. You will navigate the lifecycle of a program - from initial scoping and requirement gathering to final launch and post-launch optimization. Your work will ensure that our technical roadmap is not only ambitious but executable, reliable, and aligned with our most important business goals.

• Cross-Functional Execution: Lead the delivery of high-visibility features, ensuring engineering milestones, product requirements, and business deadlines are perfectly synchronized.
• Program design: Navigate complex technical trade-offs and dependencies. You will design and implement processes that allow teams to move fast without breaking critical systems.
• Process Automation: Identify bottlenecks in the development lifecycle and leverage data-driven tools to increase the team’s overall velocity and transparency.
• Operational Excellence: Partner with Engineering and Product leaders to translate vague customer needs into crisp technical requirements, ensuring both cutting-edge innovation and enterprise-grade quality.
• GTM & Adoption: Partner with Marketing, Sales, and Customer Success to ensure technical releases translate into business value. You’ll manage early access programs and build feedback loops to refine the product based on real-world usage.

• Currently enrolled in a top-tier MBA program with a pre-MBA background in a technical field (Software Engineering, Systems Architecture, Data Science, etc.).
• Proven ability to drive clarity in ambiguous spaces, shaping strategy alongside technical leads and aligning stakeholders across the organization.
• Experience defining success metrics and using data (SQL, Python, or data visualization tools) to ground program decisions in objective analysis.
• Ability to provide concise written and verbal updates, translating deep technical hurdles into clear business risks for senior leadership.
• A proactive mindset - you don’t just report problems; you build the frameworks and processes to solve them at scale.

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 — $40 USD

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, Linked In and Facebook.

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

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