Databricks

Sr. Engineering Manager, AI Runtime

Mountain View, California; San Francisco, California · Senior

Sponsorship not specified$229k-$297kDetected 4 days ago

Node.jsDatabricksDeep LearningPyTorchSparkNLPLLMsElectrical EngineeringResearchLeadershipCommunicationCollaboration

About the role

Databricks' AI Runtime (AIR) product provides enterprises with an API for training and fine-tuning deep learning and LLM models with on-demand GPUs.
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.
Based on the factors above, Databricks anticipates utilizing the full width of the range.

As a Senior Engineering Manager, you will lead the team owning both the product experience and the foundational infrastructure of AIR.
Lead, mentor, and grow a high-performing engineering team responsible for the Custom Training product and its foundational infrastructure, including distributed training orchestration, cluster lifecycle, fault tolerance, and training efficiency.
Define and own the product and technical roadmap for AIR, balancing customer experience, functionality, and foundational investments.
Drive architectural decisions and product design for managed GPU training at scale.
Build observability and reliability practices for long-running, multi-node training jobs, including checkpoint strategies, failure recovery, and operational runbooks.
Partner with recruiting to attract, hire, and develop top-tier engineering talent.
Experience building platform products with clear SLAs where you've owned the customer experience, not just the backend.
Strong cross-functional leadership across platform, product, and research teams, with the ability to lead through ambiguity and deliver complex projects.

8+ years of software engineering experience, with 3+ years in engineering management.

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.
The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
Local Pay Range
$228,600 - $297,120 USD

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.
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs.

We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.
Whether it's a transformer model for drug discovery or a fine-tuned foundation model, customers use this team's training infrastructure to build state-of-the-art frontier models.
Collaborate closely with product, research, platform, infrastructure teams, and customers to drive end-to-end delivery, from ideation and prioritization to launch and operation.
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.

This listing is sourced directly from Databricks's careers page and normalized into a canonical job model.