Tech Lead Manager, AI / Machine Learning at Numerator
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Jun 30, 2026
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Jul 20, 2026
What this job asks for AI summary
A hybrid engineering management and individual contributor role on a Machine Learning team, split evenly between people management (a small team of ML/AI engineers) and hands-on technical work. Day-to-day responsibilities include designing and building GenAI systems — covering agentic LLM patterns, NLP tasks, and production APIs — while also handling hiring, career development, and technical direction. Suited to someone with both management experience and strong practical GenAI engineering depth.
Senior level · 4+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 2,100 people nationally plausibly meet what this posting asks for (computer and information systems managers). range 1,250–3,150
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $178,991 (middle half $141,096–$225,584).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
This is explicitly described as a '50/50 player-coach' Tech Lead Manager role with direct reports, hiring authority, and performance responsibilities — primary classification is Computer and Information Systems Managers (11-3021). However, the role requires substantial hands-on coding and system design, making Software Developers (15-1252) a genuine runner-up.
The 4+ years figure is for hands-on ML/GenAI engineering experience; the management requirement is separately stated as 2+ years. The overall years minimum is set to 4 as the higher of the two role-level experience gates.
LLM APIs, context engineering, RAG, tool/function calling, and agents are all listed together as required 'GenAI fundamentals' — LLMs and RAG are emitted as the canonical named-technology representatives of this cluster; the others are techniques/patterns rather than discrete named tools.
Agentic orchestration frameworks, PyTorch/Hugging Face, LLM evaluation frameworks, fine-tuning, and AWS/GCP cloud deployment all appear under the explicit 'Extra, nice to haves' section.
No compensation figures are stated in the posting.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): agentic orchestration.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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