As a Senior Engineering Manager at Databricks, you will lead a high-performing engineering team focused on the AI Runtime (AIR) product, which provides enterprises with an API for training deep learning models. Your role will involve shaping customer-facing capabilities while ensuring the scalability and performance of GPU training infrastructure. You will collaborate closely with various teams to drive the end-to-end delivery of product features and advocate for customer needs. This position requires a strong background in software engineering and engineering management.

• 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 for long-running jobs.
• Understanding of GPU performance fundamentals.
• Experience building platform products with clear SLAs.
• Strong cross-functional leadership skills.
• Excellent collaboration and communication skills.
• BS/MS in Computer Science, Electrical Engineering, or related technical field.

• Lead, mentor, and grow a high-performing engineering team responsible for the Custom Training product.
• Define and own the product and technical roadmap for AIR.
• Collaborate closely with product, research, platform, and infrastructure teams.
• 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 training jobs.
• Partner with recruiting to attract, hire, and develop top-tier engineering talent.