Sr. Technical Program Manager - Money Engineering Team
Databricks
P-298
[Locations Available: Bay Area (San Francisco & Mountain View, CA) or Seattle, WA]
Sr. Technical Program Manager - Monetization
Technical Program Manager (TPM) is an integral part of the engineering organization and the 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 is continuously innovating and coming up with new features and products for the customers, the Money Engineering team is responsible for unlocking the monetization. Our roadmap is filled with strategic initiatives that require working cross-functionally across the organization. In addition, there will be opportunities to work with Databricks' strategic customer accounts to understand their problem and device solutions to address the customers' needs. This role will report into the R&D Operations team, which is part of the engineering org.
The impact you will have:
- In this role, you will have the opportunities to work across the entire Databricks infrastructure and multi-cloud environment.
- You will cultivate and expand our 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 guarantee 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 front and center 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 of 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 tradeoffs, 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 to the business stakeholders
- Experience operating autonomously across multiple teams and organizations
- Familiar 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 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.
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.