Sr. Mgr., ML Infrastructure, PV Personalization and Discovery at Amazon
Seattle, WA
$242,100–$327,500from the description
Jul 9, 2026
Seattle, WA
Jul 21, 2026
What this job asks for AI summary
A senior engineering leadership role within Prime Video's personalization and discovery organization, responsible for managing multiple teams that build and operate the ML infrastructure underpinning content recommendations for a global audience. Day-to-day work centers on defining the architecture and MLOps practices that move AI/ML models from research into production, and partnering closely with applied scientists and product managers to support large-scale recommendation and generative AI systems.
Senior level · 10+ years · New York-Newark-Jersey City, NY-NJ-PA · 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 130 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 95–160
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 (8)
This is a people-management role (Senior Manager title, 5+ years of engineering team management required, leading multiple teams) — classified as Computer and Information Systems Managers (11-3021). The alt code 15-1252 reflects the strong hands-on ML infrastructure technical depth also required.
The 10+ years of engineering experience and 10+ years of consumer software experience are both stated in the Basic Qualifications; the overall years minimum is set to 10 as the binding overall experience floor.
Engineering team management (5+ years) is listed as a hard gate in Basic Qualifications. It is not a named technology but is a concrete, measurable experience requirement central to this management role, so it is included as a skill.
ML infrastructure, recommendation/retrieval systems, LLMs, and generative AI are all listed together as a single 'hands-on experience' bullet in Basic Qualifications — all treated as hard gates.
A Bachelor's degree appears only under Preferred Qualifications, so the degree requirement is set to None.
AWS appears only under Preferred Qualifications and is therefore marked as preferred.
Compensation is quoted as a base salary range; the posting notes the package also includes sign-on payments and RSUs, which are not reflected in the min/max figures.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): engineering team management.
Read the full posting
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