Staff Technical Program Manager- Platform Features

P-1489

Platform & Product Experiences | Shape How Databricks Executes at Scale

At Databricks, Staff TPMs don’t just run programs — they define how the company executes at scale. This role sits at the center of our highest-priority platform and product investments, partnering across engineering, product, and go-to-market teams to bring foundational capabilities to market globally.

You will lead complex, high-visibility programs where the path isn’t fully defined, align senior stakeholders, and build the operating models that scale execution across the company.

You will own delivery of some of Databricks’ most important initiatives and programs that reach tens of thousands of enterprise customers worldwide. You will influence roadmap decisions, drive execution across organizations, and ensure launches translate into real customer adoption and business impact.

What You’ll Own

What We’re Looking For

Preferred

Why This Role is Unique

This role sits at the center of Databricks’ core platform investments, with direct access to senior leadership and the opportunity to shape how the company executes. You will work on high-impact programs, influence key decisions, and build systems that scale across the organization.

• Scaling core platform experiences that define how customers interact with Databricks (e.g., workspace, identity, access, and cross-product workflows)
• Leading cross-functional initiatives that unify product experiences across data, AI, and governance capabilities
• End-to-End Program Leadership: Own complex, cross-functional programs from initial scoping through launch and adoption. Define program structure, drive execution, and hold teams accountable to clear outcomes.
• Cross-Organizational Alignment: Align engineering, product, design, field, legal, and marketing around a shared plan. Manage dependencies, resolve conflicts, and keep execution on track.
• Product Launch & Enterprise Adoption: Partner with field teams, solutions architects, and customer success to drive successful launches. Build early access programs, capture customer feedback, and translate it into execution priorities.
• Operational Excellence: Identify where the organization is losing speed, design scalable processes, and drive adoption across teams. Build systems that outlast individual programs.
• Executive Communication: Own communication with senior leadership. Provide clear updates, highlight risks, and enable fast, well-informed decision-making.
• Data-Driven Execution: Define success metrics upfront. Track progress rigorously and use data to guide decisions and demonstrate impact.
• 10+ years leading large-scale, cross-functional programs in enterprise software or B2B technology
• Proven experience delivering end-to-end product launches across multiple geographies and functions
• Demonstrated ability to bring structure to ambiguous, fast-moving environments
• Experience influencing roadmap and prioritization, not just delivery
• Credibility with both engineers and executives; strong communication skills with VP and C-level stakeholders
• Track record of building scalable processes and operating models
• Strong instincts for risk management, escalation, and stakeholder alignment
• Experience defining and tracking success metrics; familiarity with SQL or dashboards is a plus
• Experience operating with high autonomy and ownership in ambiguous, high-stakes environments
• Experience with cloud platforms (AWS, Azure, GCP)
• Background in data platforms, governance systems, or developer-facing products
• Familiarity with Databricks or similar large-scale data ecosystems
• Experience scaling both 0→1 programs and mature systems
• Advanced degree in a technical field

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipates utilizing 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 $180,200—$247,850 USD

• Comprehensive health coverage (medical, dental, vision)
• 401(k) plan
• Equity awards

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.

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 click here.

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.