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
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.
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.
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
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Healthcare Strength — Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
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Parental & Family Support — Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.
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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.
