Sr. Technical Program Manager - Money Engineering Team

P-298 (Locations Available: Bay Area (San Francisco & Mountain View, CA) or Seattle, WA) Sr. Technical Program Manager - Monetization The Technical Program Manager (TPM) is an integral part of the engineering organization, addressing connective issues across all fabrics (Eng, PM, UX, Doc, Support, fields, Sales, Legal, Security, Privacy, DevRel, etc.) of the company to define repeatable processes and drive execution velocity. TPMs lead teams to navigate through ambiguity, pin down problems, define requirements, find solutions, rally stakeholders, identify risks, manage constraints, communicate status, remove blockers, launch products, measure KPIs, and celebrate successes. You will be instrumental in driving strategic initiatives for the Money Engineering team within the R&D platform. As Databricks continuously innovates and develops new features and products for customers, the Money Engineering team is responsible for unlocking monetization. Our roadmap is filled with strategic initiatives that require working cross-functionally across the organization. Additionally, there will be opportunities to work with Databricks' strategic customer accounts to understand their problems and devise solutions to address their needs. This role will report into the R&D Operations team, which is part of the engineering organization. The impact you will have: You will have the opportunity to work across the entire Databricks infrastructure and multi-cloud environment. You will cultivate and expand relationships with the largest cloud computing providers and build the foundations for the Databricks customer experience. Your role entails hands-on collaboration with our engineering teams and cloud partners, spearheading large-scale projects to ensure the engineering excellence of Databricks solutions in terms of stability, scalability, and security. You will strategically automate and improve day-to-day operations and processes. You will be at the forefront of organizing controls and standards across our infrastructure to achieve product stability and excellence in DevOps practices. What we look for: 7+ years of technical program management experience. Bachelor's degree in a related field (EE, Computer Science, Computer Engineering, Software Engineering). Technical knowledge and experience with Cloud infrastructure, Big Data, and AI. Experience in program management, process definition and improvements, and influencing adoption of defined processes across multiple teams or organizations. Ability to facilitate conversations to prioritize, manage trade-offs, identify gaps and risks, drive accountability, and measure successes. Comfortable handling conflicts and escalations. Experience in project/sprint planning, execution driving, risk management, and effective communication with business stakeholders. Experience operating autonomously across multiple teams and organizations. Familiarity with agile methodology in software development and program management, and collaboration tools such as Jira, spreadsheets, etc. Experience with at least one cloud provider: AWS, Azure, or GCP. Preferred Qualifications: Master's or advanced technical degree. Experience in driving and leading DevOps initiatives, collaborating with cross-functional teams to improve development processes, deployment pipelines, and system reliability. Experience in incident management and root cause analysis (RCA). Experience building cloud infrastructure and applications. Knowledge of SQL and dashboard building. Benefits: 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. 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 an 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: $123,000 "” $218,000 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 . 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. #J-18808-Ljbffr

Created: 2025-02-03