Director TPM, Infrastructure (San Francisco)

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 Platform Engineering team within the R&D platform. 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 devise solutions to address the customers' needs. This role will report into the VP, R&D Operations, part of the engineering org.

What You’ll Do

• Lead, grow, and mentor a team of Technical Program Managers building an environment of teamwork, trust, and mutual success.
• Deeply understand business and technical strategy to proactively identify high-impact programs.
• Develop KPIs to measure the effectiveness of programs and establish frameworks using program management principles that foster high-quality, metrics-driven program delivery.
• Partner with product and engineering teams to drive alignment, prioritization, and critical decision-making with internal partners and stakeholders.
• Navigate diverse stakeholder groups, forming and sustaining trusted relationships.
• Work directly with Engineering and Product leadership to define and shape the execution strategy for our critical bets.
• Define and manage the operating rhythms for the Engineering org - planning, program management, partnership syncs, etc.
• 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 in organizing controls and standards across our infrastructure to achieve product stability and excellence in DevOps practices.

What we need:

• B.S. in Computer Science or a related technical discipline, or equivalent experience.
• 15+ Years of experience in managing engineering or TPM teams and designing large-scale or complex technical initiatives on shared infrastructure platforms.
• Experience with at least one cloud provider: AWS, Azure, or GCP.
• Experience leading and mentoring TPMs.
• Experience in project/sprint planning, execution driving, risk management and effective communication with the business stakeholders.
• Excellent cross-group collaboration, outstanding verbal and written communication.
• Experience in program management, process definition and improvements and influencing adoption of defined processes across multiple teams or organizations.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Experience driving company initiatives towards customer satisfaction.

Preferred Qualifications:

• 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.
• Employee Assistance Program (EAP).

If you're passionate about operational excellence, driving innovation, and making a significant impact in the data and AI industry, we want to hear from you. Join us in our mission to simplify and democratize data and AI for organizations worldwide.

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: $185,000 — $327,400 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.

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.