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Benefits Diversity Engineering Research Students & new grads Back to search results Engineering Manager, Foundation Model Inference (FMAPI) Mountain View, California Apply now Engineering Manager, Foundation Model Inference (FMAPI) RDQ427R519 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. 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 team’s 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. Pay Range Transparency 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. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total
compensation package for this position may also include eligibility for annual performance
bonus, equity, and the
benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $190,000 — $261,250 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook .
Benefits 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 . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Product Databricks Platform Platform Overview AI Assistant Application Development Artificial Intelligence Business Intelligence Customer Data Platform Data Engineering Data Warehousing Database Governance Security Sharing Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Product Databricks Platform Platform Overview AI Assistant Application Development Artificial Intelligence Business Intelligence Customer Data Platform Data Engineering Data Warehousing Database Governance Security Sharing Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Data Migration Forward Deployed Engineering Solution Accelerators Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Data Migration Forward Deployed Engineering Solution Accelerators Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog AI Blog Data Brew Podcast Champions of Data & AI Podcast Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog AI Blog Data Brew Podcast Champions of Data & AI Podcast About Company
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Named Enterprise Account Executive, Financial Services
Partner Enablement Operations Manager
Specialist Solutions Architect - Cloud Platform & Infrastructure (Azure)
Named Core Account Executive (Public Sector)
Lead Engagement Manager, FDE - CMEG
Salary
$190,000 - $261,250
Location
Mountain View, California
Last stage
Growth
Investors
Ali Ghodsi
CEO
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.