Director, AI Transformation at Harry's
New York, NY
$285,000–$300,000from the description
Jul 10, 2026
New York, NY
Jul 21, 2026
What this job asks for AI summary
A senior technical leadership role responsible for turning a large CPG company's AI ambitions into production-ready systems. The director will build and manage a team of forward-deployed AI engineers, own infrastructure decisions around agents, evaluations, and data pipelines, and make build-versus-buy calls across the company's AI portfolio. The position suits an experienced engineering leader with hands-on modern AI expertise who can operate credibly at the executive level.
Principal level · 12+ years · New York-Newark-Jersey City, NY-NJ-PA · Full-time
Posted 4 times — it's one opening, so apply once.
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 15 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (computer and information systems managers). range 4–20
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.
What the occupation pays Median $220,035 (middle half $175,731–$291,850). This posting is about at that midpoint.
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 (9)
This is a Director-level people-management role (hiring and leading a Forward Deployed AI Engineering team, owning budget, reporting to the CTO/Chief AI Officer), making 11-3021 the clear primary SOC. The alt code 15-1299 reflects the genuinely hands-on applied AI technical depth the JD also demands.
The role is hybrid in-office (Tue/Wed/Thu) at Mammoth Brands' SoHo, NYC office — not fully remote.
The JD's requirements section is written as a narrative ('This should describe you') rather than a bulleted required/preferred split. All skills extracted from that section are treated as hard gates per the firm language used ('You have deep, current technical fluency in…', 'You have shipped real AI systems…').
Skills such as agent frameworks, observability, and data warehouse architecture appear more as infrastructure context and operational scope than explicit named-tool gates; they are marked preferred accordingly.
'Retrieval' in the JD maps to RAG (retrieval-augmented generation) as the canonical named capability in this context.
MCP (Model Context Protocol) is explicitly named as a required area of fluency alongside agent frameworks.
No specific degree is required — the JD states no formal education gate.
Salary range of $285,000–$300,000/year is stated as a base hiring range; final offer depends on location, skill, and experience.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data warehouse architecture.
Read the full posting
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