Tech Lead Manager, AI/ML at Numerator

Job description

Numerator is looking for a hands-on Tech Lead Manager to join our growing Machine Learning team. This is a 50/50 player-coach role: you'll directly manage a small team of ML engineers while continuing to write code, design systems, and ship GenAI features yourself. You'll work with an established and rapidly evolving platform that handles millions of requests and massive data volumes, and you'll be responsible for both the team's technical direction and the growth of the people on it. Historically, our team has focused on reducing COGS through ML automation. That work continues — and we're now also building agentic experiences for clients and internal stakeholders. You'll help shape both the technical roadmap and how the team operates as we expand into this space. How You'll Spend Your Time: • 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

Requirements

Must-haves

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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningmldesign systemsaillm

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Effort: medium