Manager, Field Engineering

Job summary

Responsibilities

Our mission is to make AI inference fast, affordable, and production-ready for every developer and enterprise. Our organization is flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative.

• Lead, coach, and grow a distributed team of Field Engineers — hiring, onboarding, developing, and holding a high bar for technical excellence and customer outcomes
• Own your team's engagement portfolio: allocate the right engineers to the right pursuits and ensure consistent execution across discovery, demos, POCs, and production integrations
• Lead complex evaluations end-to-end (discovery → architecture → POC → production plan), personally stepping in on the highest-stakes or most technically challenging deals
• Coach AEs and Field Engineers in real time to improve deal quality and close outcomes — reviewing architectures, sitting in on calls, and running sharp post-mortems on wins and…
• Build and refine the Field Engineering playbook: discovery frameworks, POC templates, reference architectures, and reusable field artifacts

Tech stack

• PyTorch
• vLLM
• AWS
• Azure
• GCP