San Francisco, CA

Salary
$250,000–$290,000from the description
Posted
Aug 17, 2026
Location
San Francisco, CA
Last confirmed open
Sep 25, 2026

What this job asks for AI summary

This is a senior product leadership role at EY's Growth Platform focused on building and scaling neuro-symbolic AI products for large enterprise clients. The person in this role will own the full product lifecycle — from strategy and roadmap through architecture, delivery, and commercialization — while directing cross-functional teams spanning engineering, data science, knowledge engineering, and design. It suits an experienced product or platform leader with a background in enterprise AI, knowledge graphs, or semantic technologies.

Senior level · 12+ years · New York-Newark-Jersey City, NY-NJ-PA · Bachelor's required · Full-time

Must have (4)
Knowledge graphsOntologiesMachine learningData modeling
Nice to have (4)
Azure, AWS or GCPNeuro-symbolic AISemantic data platformsMicrosoft Copilot

“or” means any one of them counts — you don't need all of them.

Posted 2 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 50 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (computer occupations, all other). range 15–70

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What gives you an edge
Data modeling10%Machine learning12%

Rare in this occupation — lead with these, and say what you built with them.

What the occupation pays Median $129,701 (middle half $84,324–$174,781). 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 Aug 20, 2026. It is a model, not a headcount.

Why we read it this way (6)

This role is a genuine hybrid between product management/strategy and deep technical AI architecture, making SOC classification difficult. 15-1299 (Computer Occupations, All Other) is used because the role does not map cleanly to Software Developers (15-1252) — it is explicitly a product leadership position — nor to Data Scientists (15-2051), though AI/ML is central. 15-2051 is noted as the closest runner-up given the neuro-symbolic AI and ML focus.

The posting lists 13 metro locations (New York, Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, Hoboken, Philadelphia, San Francisco, Seattle). New York is listed first; the CBSA reflects that. Candidates must reside in or commute to their chosen office — this is a hybrid role, not fully remote.

The 12+ years requirement is the binding total experience gate. The degree requirement states a bachelor's plus 8 years OR a graduate degree plus ~7 years, but the 12+ years in product/platform leadership is the harder, overriding gate.

Cloud platforms (Azure, AWS, GCP) appear only under the 'Ideally, you'll also have' (preferred) section, as do neuro-symbolic AI frameworks, semantic data platforms, and Microsoft Copilot.

Knowledge graphs, ontologies, symbolic reasoning/rules engines, machine learning integration patterns, and data modeling/lineage/governance appear under 'Skills and attributes for success' — a required-skills framing — and are marked accordingly.

Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Symbolic reasoning / rules engines.

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