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Staff Technical Program Manager

Databricks
Mountain View, United Statesfull_timeVerifiedPosted 14 Jan 2025
💰 $263,600/yr($149,000/yr$263,600/yr)

About the role

P-298

Do you excel at driving operations at scale? Are you adept at anticipating the needs of customers and driving process improvements to ensure their success? Are you passionate about the cloud and building relationships across organizations? If you are, then join us on the cutting edge at Databricks!

We're building a team of passionate Technical Program Managers to create and guide processes across our Engineering organization. You'll cultivate and expand our relationships with the largest cloud computing providers and building the foundations for the Databricks customer experience. Your responsibilities will be to work with our engineering teams and cloud partners to ensure Databricks solutions are engineered for reliability, scalability, and security - all while keeping operations top of mind. You'll guide the direction of a cross-cloud program, 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 working across multiple time-zones, dealing with high levels of ambiguity, 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 projects, 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

Pay Range Transparency

Databricks is committed to fair compensation practices. The pay range(s) for this role is listed below and represents base 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 uses 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 about which range your location is in visit our page here.

 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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 utilizes 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.

 

Local Pay Range$149,000$263,600 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 cr

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Databricks

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