Engineering Manager, Foundation Model Inference (FMAPI)

Engineering Manager Foundation Model Inference (FMAPI)

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At Databricks we are driven by a passion to empower data teams in tackling the worlds most challenging problems from revolutionizing transportation to accelerating medical innovations. Our mission is to build and operate the premier data and AI infrastructure platform enabling our customers to leverage deep data insights for transformative business improvements. If you are passionate about advancing data and AI technologies and are eager to lead a cutting-edge product to success we invite you to join our dynamic team at Databricks.

The Foundation Model Inference team is the backbone of Databricks generative AI capabilities. We build the infrastructure that enables our customers to serve scale and optimize frontier models with enterprise-grade reliability and performance. Our Foundation Model APIs provide a unified platform that gives customers access to LLMs with the governance flexibility and scalability required for enterprise production workloads.

Databricks is looking for an Engineering leader to lead part of our Foundation Model Inference organization. We are seeking a leader who can build strong teams uphold a high technical bar and drive execution on large multi-quarter initiatives in a fast-moving AI infrastructure environment.

The impact you will have

• Lead and grow a team of talented product-minded infrastructure Engineers working on Databricks Foundation Model Inference and Foundation Model API; The teams owns the systems powering large-scale inference workloads for customers through partner models (OpenAI Anthropic Gemini) and self-hosted models (Qwen GPT-OSS Llama).
• Help shape the roadmap for products spanning real-time inference provisioned throughput and batch inference use cases.
• Partner closely with product and engineering leadership to deliver the right capabilities with strong reliability quality and service health.
• Build an inclusive high-performing team that attracts develops and retains exceptional engineers.
• Maintain a deep understanding of your teams technical area and uphold a strong bar for architecture implementation quality and operational excellence.

What we look for

• Experience managing and growing high-performing software engineering teams.
• Strong technical judgment in distributed systems platform infrastructure AI/ML infrastructure or large-scale backend services with the ability to maintain quality even in areas you have not worked on personally.
• A track record of delivering complex multi-quarter engineering initiatives with high quality and predictable execution.
• Experience partnering effectively with product management and peer engineering teams to translate customer and business needs into roadmaps and shipped outcomes.
• Operational rigor including experience with service health incident response postmortems and continuous improvement.
• Excellent communication coaching and hiring skills.
• BS in Computer Science or related field.