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Sr. Technical Program Manager - Release Management



IT, Operations
San Francisco, CA, USA
Posted on Saturday, May 21, 2022

[Locations Available: Bay Area (San Francisco & Mountain View, CA) or Seattle, WA]

Title: Technical Program Manager - Release Management

Do you excel at driving operations at scale? Do you like to and lead process improvements to ensure their success? Are you passionate about Release Management and building relationships across organizations? If you are, then join us at Databricks!

We're building a team of passionate Technical Program Managers to create and guide Release management processes across our Engineering organization.

  • You will implement and improve release processes for code through development, test, and production environments
  • You will work with our engineering and product team members to ensure Databricks solutions are engineered for reliability, scalability, and security - all while keeping operations top of mind.
  • You'll guide the direction of cross-cloud programs, set engineering goals and launch programs at scale
  • You'll be front and center of organizing controls, governance and standards across our infrastructure to achieve product stability and at least four nines of uptime.
  • You'll be reporting to a Technical Program Leader while working across multiple time-zones, seeing around corners to identify blockers, and ensuring needs are balanced against technical requirements.

What we look for:

  • 5+ years of technical program/project/relationship management experience
  • Bachelor's degree in a related field (EE, Computer Science, Computer Engineering, Software Engineering)
  • Experience leading cross-functional teams to complete projects with multiple dependencies and constraints
  • Experience defining releases, identifying risks, managing cost, coordinating scope, identifying dependencies, scheduling and deploying new products and features
  • Experience creating and cascading processes through an organization
  • Knowledge of SQL
  • Experience using Jira

Preferred Qualifications:

  • Master's or advanced technical degree
  • Knowledge of product development process (PDP) and lifecycle
  • Experience with large scale software and cloud native infrastructure
  • Previous hardware or software development experience is a plus


  • Comprehensive health coverage including medical, dental, and vision
  • 401(k) Plan
  • Equity awards
  • Flexible time off
  • Paid parental leave
  • Family Planning
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Employee Assistance Program (EAP)
  • Business travel accident insurance
  • Mental wellness resources

About Databricks

Databricks is the data and AI company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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.


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.