Sr. Staff Technical Program Manager - Genai

Shape the Future of AI at Scale

Join Databricks' GenAI team to help build the Data Intelligence Platform that combines the best of data warehouses and data lakes while making generative AI real for enterprises. This is your opportunity to drive mission-critical programs that will define how organizations build, deploy, and scale AI applications.

The Impact You'll Make:

As a Sr. Staff Technical Program Manager in our GenAI org, you'll be the orchestrator of breakthrough AI capabilities reaching millions of users. You'll drive the successful delivery of cutting-edge GenAI products - from vector databases and model serving infrastructure to Agent Bricks. Your work will directly enable our customers to move from AI experimentation to production at unprecedented scale.

What You'll Own:

• Priority Product Launches: Lead cross-functional execution of high-visibility GenAI features
• Scalable Operations: Navigate complex technical challenges at the intersection of distributed systems, ML infrastructure, and product requirements. Design and implement processes that enable our platform to serve at scale
• GTM & Customer Adoption: Partner with field teams, solution architects, customer success, marketing and other XFN teams to drive enterprise adoption of our GenAI offerings - from defining adoption metrics and success criteria to managing early access programs, building customer feedback loops, and ensuring smooth production rollouts
• Engineering and product Excellence: Partner with PM and Engineering leaders to translate customer needs into technical requirements, ensuring our GenAI platform delivers both cutting-edge capabilities and enterprise-grade reliability
• GenAI powered operations: Leverage automation and GenAI tools to scale the team's operations and support rapid experimentation and deployment of emerging AI technologies

What We're Looking For:

• 10+ years driving high-complexity, business-critical technical programs across ML/AI, large-scale distributed systems, or cloud infrastructure.
• Proven ability to own an entire program area end-to-end, scaling it from 0→1 or evolving it to the next stage of adoption, with direct measurable business impact.
• Excellence in structuring and driving clarity in ambiguous problem spaces, shaping strategy with engineering and product leaders, and aligning across multiple teams/orgs.
• Track record of leading large scale cross-functional programs, proactively surfacing risks, creating new processes, and ensuring on-time delivery of critical launches.
• Strong executive communication skills: concise written and verbal updates, ability to facilitate alignment across VPs/Directors, and polished presentations to senior leadership.
• Expertise in data-driven decision making: defining success metrics, building dashboards, and using SQL/Python/notebooks to ground decisions in analysis.
• Ability to act as a force multiplier: mentoring other TPMs, introducing scalable processes, and driving organizational efficiency at the company level.
• Proactively leverages GenAI tools and automation to simplify workflows, scale execution, and increase organizational impact.

Preferred:

• Experience with LLM deployment, ML infrastructure, GPU capacity planning, and large-scale serving architectures.
• Background in vector databases, distributed training frameworks, and production ML pipelines.
• Familiarity with Databricks ecosystem (Spark, MLflow, Lakehouse/Delta) or equivalent large-scale data/ML platforms.

Why This Role is Unique:

This isn't just another TPM role - it's an opportunity to shape how every company will build and deploy AI. You'll work with world-class AI researchers and engineers, have direct impact on products used by 10,000+ organizations, and solve problems that haven't been solved before. If you want to be at the epicenter of the AI transformation, this is where you belong.

Pay Range Transparency

Databricks is committed to fair 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 uses 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 about which range your location is in visit our page here.