Engineering Manager - Edge AI

What you'll do

Lead the day-to-day execution of the Edge AI team, translating long-term product vision into clear sprint roadmaps and measurable delivery milestones

Own the migration of our AI assistant to an autonomous agentic setup, maintaining performance while expanding AI support across all merchant-facing channels

Set the technical direction for LLM-powered system design, making clear tradeoffs across quality, latency, and cost

Build a data-informed engineering culture by defining performance metrics, tracking delivery velocity, and using insights to continuously improve team health and throughput

Hire, mentor, and develop a team of engineers and ML specialists — including interns — creating an environment where people grow and do their best work

You'll be great for this role if…

Strong hands-on background in ML/AI engineering or data science, with experience leading a team delivering production AI products

Deep technical knowledge of LLM-powered system design, including RAG, embeddings, tool/function calling, and orchestration frameworks such as LangChain or LlamaIndex

Proficiency in Python and core AI/ML libraries, including PyTorch and HuggingFace Transformers, with solid LLMOps/MLOps and CI/CD practices

Proven track record of launching AI features end-to-end in production — from problem framing and prototyping through to reliable, measurable delivery

Ability to lead with clarity, empathy, and accountability — building inclusive, high-performing teams while navigating ambiguity and managing stakeholders across technical and non-technical domains