Sr. Engineering Manager, AI Runtime

At Databricks, we enable data teams to solve the world's toughest problems by building and running the world's best data and AI infrastructure platform.

As a Senior Engineering Manager, you will lead the team owning both the product experience and the foundational infrastructure of AI Runtime (AIR).

The impact you will have:

• Lead, mentor, and grow a high-performing engineering team responsible for the Custom Training product and its foundational infrastructure.
• Define and own the product and technical roadmap for AIR, balancing customer experience, functionality, and foundational investments.
• Collaborate closely with product, research, platform, infrastructure teams, and customers to drive end-to-end delivery.
• Drive architectural decisions and product design for managed GPU training at scale.
• Advocate for customer needs through direct engagement.
• Build observability and reliability practices for long-running, multi-node training jobs.
• Partner with recruiting to attract, hire, and develop top-tier engineering talent.

What we look for:

• 8+ years of software engineering experience, with 3+ years in engineering management.
• Track record building and operating managed GPU training infrastructure at scale.
• Deep familiarity with distributed training frameworks and parallelism strategies.
• Experience with training resilience patterns.
• Understanding of GPU performance fundamentals.
• Experience building platform products with clear SLAs.
• Strong cross-functional leadership across platform, product, and research teams.
• Excellent collaboration and communication skills.
• BS/MS in Computer Science, Electrical Engineering, or related technical field.

Pay Range Transparency The pay range for this role is $228,600-$297,120 USD.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.