Manager, Field Engineering

• 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 losses

• Build and refine the Field Engineering playbook: discovery frameworks, POC templates, reference architectures, and reusable field artifacts

• Serve as the voice of your team and customers internally — systematizing field insights, influencing the product/engineering roadmap, and translating recurring pain points into concrete platform improvements

• Partner with revenue leadership on pipeline health, forecast calls, and territory planning for your region

• Stay hands-on when it matters: build/ship alongside your engineers (POCs/MVPs, load testing, eval + fine-tuning pipelines, model-serving choices across vLLM/SGLang/TensorRT-LLM) and ensure strong post-sales handoffs for onboarding and adoption

• Track and improve your team's operating metrics — win rates and velocity, POC cycle time, utilization, and customer adoption outcomes

You May Be a Fit If

• You have 8+ years of overall experience, including 2+ years managing Field Engineering, Solutions Engineering, Forward Deployed Engineering, or Pre-Sales teams, with hands-on experience in enterprise software or AI infrastructure

• You have a strong technical foundation and fluency in the LLM stack: inference trade-offs, model serving, fine-tuning workflows (SFT; DPO/RFT a plus), and deploying models on GPU infrastructure across AWS, Azure, and GCP

• You have demonstrated ability to build production software with customers, not just advise on it — you have shipped code running in someone else's production environment and can still do it when a deal demands it

• You have a track record of developing engineers — coaching, giving direct feedback, and growing individual contributors into senior and lead roles

• You have proven your ability to partner effectively with Sales while maintaining technical integrity and customer trust in high-stakes deal environments

• You have strong communication skills — able to run a sharp discovery call, present to a VP or CTO, and debug a latency issue with an ML engineer in the same afternoon

• You have a builder mindset: you thrive in fast-moving, startup environments and enjoy creating structure where little exists

• Willingness to travel (up to ~30%) for customer engagements and team onsites