Engineering Manager, Foundation Model Inference (FMAPI)

Навыки

• AI-инструменты в работе
• API (интеграции)
• Data Lake
• Распределённые системы
• Форензика и реагирование
• Лидерство
• LLM

О компании и продукте

• Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
• At Databricks, we are driven by a passion to empower data teams in tackling the world's 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
• 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

Задачи

• 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 team’s technical area and uphold a strong bar for architecture, implementation quality, and operational excellence
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Требования

• 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
• 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

Условия

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

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