Tech Lead Manager, AI / Machine Learning

Manage and grow a small team of AI software engineers — 1:1s, career development, performance, hiring, and day-to-day unblocking

Stay deeply technical: contribute to the codebase, design GenAI systems, and own meaningful slices of delivery alongside your team

Apply agentic LLM patterns (tool use, multi-step reasoning, orchestration) to automate high-complexity tasks that previously required human judgment

Design and build GenAI-powered solutions for complex NLP tasks — NER, classification, information retrieval, summarization, and structured output generation

Partner closely with the team's PM and adjacent engineering teams to scope, prioritize, and ship

Translate ambiguous business problems into well-scoped technical work — and help your engineers learn to do the same

Stay current with the fast-moving GenAI landscape and translate new capabilities into practical team impact

2+ years of engineering or data science management experience — 4+ direct reports, performance conversations, hiring.

4+ years of hands-on ML or GenAI engineering experience, including production systems

Strong practical GenAI fundamentals: LLM APIs, context engineering, RAG, tool/function calling, agents, and evaluation methodology — you understand why these techniques work, not just how to call them

Technical judgment: you can scope ambiguous problems, make sound build-vs-buy and custom-vs-off-the-shelf calls, and balance shipping speed with long-term maintainability

Data acumen: you can critically assess a dataset, spot distribution problems, and reason about how data quality affects downstream model and business outcomes

Product orientation: you engage with business context naturally, partner with PM as an equal, and translate ambiguous requirements into well-scoped technical solutions

A people-first management style: you grow engineers through coaching and stretch work, give direct and timely feedback, and create the conditions for your team to do their best work