MBA Intern - Technical Program Management (TPM)

Reposted 10 Days Ago
Be an Early Applicant
2 Locations
In-Office
40-40 Annually
Internship
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
As a TPM Intern at Databricks, you will manage the delivery of technical initiatives, aligning cross-functional teams and ensuring programs meet business goals. You will automate processes and streamline program execution, transitioning from requirement gathering to product launch.
Summary Generated by Built In

RDQ227R1171

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.

What You’ll Own
  • 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.
What We’re Looking For
  • 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.

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$40 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.

Top Skills

Data Visualization Tools
Python
SQL
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The Company
New York, NY
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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