Engineering Manager, Foundation Model Inference (FMAPI)
Databricks · San Francisco, California · Engineering · listed July 22, 2026
The shape of it
Seniority
Manager
Where
Not stated
Stated pay
$190,000 – $261,250 USD
Requirements listed
7
Length
781 words
In the posting’s own words
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.
What it asks for · 7
- 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.
What the job covers
- 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.
Degree language
- BS in Computer Science or related field.
Tools and skills named
Models & research
- Inference7×
- LLM
- Machine learning
Data
- Databricks5×
Product & design
- Product management
- Roadmap
Cloud & infra
- Distributed systems
Ways of working
- Mentorship
Words the posting leans on
- inference7×
- engineering6×
- foundation model6×
- infrastructure6×
- customers5×
- build4×
- data4×
- model inference4×
- product4×
- quality4×
- experience3×
- lead3×
- platform3×
- technical3×
- area2×
- bar2×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
The posting, your resume, and the gaps between them. One click loads all three.