Sr. Staff, Technical Program Management

Databricks is the Data and AI company, building and running the world's best data and AI infrastructure platform. More than 20,000 organizations worldwide, including 70% of the Fortune 500, rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe.

We are seeking a Sr. Staff Technical Program Manager (L7) to lead a high-impact internal incubator within our Corporate Engineering organization. Operating as a strategic, hands-on technical leader and a manager of a lean team of 3 to 4 TPMs, you will bridge the gap between internal infrastructure and cutting-edge product engineering. Your primary mission is to build Databricks' first-party agentic application platform designed to architect, deploy, and scale internal AI tools and autonomous digital agents, eliminating corporate reliance on third-party vendors and replacing legacy SaaS with native solutions built on the Databricks platform. You will partner directly with our CIO, Corporate Engineering VPs, R&D Operations, and cross-functional product teams to establish the operational connective tissue necessary to move sophisticated tools from concept to full Go-To-Market readiness.

• Lead the end-to-end strategy, execution, and deployment of an internal agentic platform, transitioning the enterprise from a legacy third-party RFP culture to a high-velocity, in-house building culture.
• Serve as a thought leader to fundamentally re-engineer the software development lifecycle, embedding GenAI and intelligent automation into core operational workflows.
• Orchestrate large-scale, highly complex programs across multiple business units, including corporate security-hardening programs and enterprise-wide platform migrations.
• Own business and technical outcomes by establishing rigorous metrics, managing observability, and evaluating system ROI to improve platform adoption, employee NPS, and organizational value.
• Provide high-impact technical mentorship and leadership to a team of 3–4 TPMs, scaling their technical execution and championing distributed systems excellence.

• 10+ years of technical program management experience leading highly complex, company-wide technical transformations within hyper-growth SaaS, cloud infrastructure, or Tier-1 technology environments.
• Proven people management experience overseeing lean teams of high-performing TPMs while remaining deeply technical and maintaining a hands-on leader archetype.
• Deep architectural and systems fluency, with a strong technical background and the ability to navigate complex engineering discussions involving distributed systems, large-scale data infrastructure, and environments like Scala.
• Demonstrated experience in structural change management, specifically driving a cultural shift from software procurement (RFPs) to native product building, engineering design, and fit-gap analysis.
• Exceptional executive presence and communication skills, with a track record of driving clarity out of extreme ambiguity and aligning VP- and C-level stakeholders on engineering trade-offs.
• Data-driven analytical mindset with an ability to leverage data analytics (SQL, Python, or data notebooks) to map system boundaries, quantify performance metrics, and establish program KPIs.
• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.

• Direct experience deploying GenAI, Large Language Models (LLMs), or autonomous agent-based capabilities inside enterprise platforms or customer-facing production workflows.
• Deep familiarity with the Databricks ecosystem (Lakehouse architecture, Unity Catalog, Mosaic AI, Delta Lake) or equivalent large-scale data and AI platforms.
• Experience guiding products through a full incubation lifecycle, successfully transitioning internal IT enterprise tooling into highly reliable, commercialized software assets ready for market.

Zone 1 Pay Range: $222,500—$305,900 USD. Actual compensation packages are based on several factors unique to each candidate, including job-related skills, depth of experience, relevant certifications and training, and specific work location. The total compensation package may also include eligibility for annual performance bonus, equity, and the benefits listed above.

Databricks strives to provide comprehensive benefits and perks that meet the needs of all employees. For specific details on the benefits offered in your region, click the link in the job posting.

Apply through the provided job link.