Engineering Manager, Personalization

Nordstrom

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Seattle, WA
Salary
$166,000–$258,000 / yr
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $227k
This role $212k
$154k $282k
below market most similar roles pay here above market

This role pays less than 57% of similar roles. Most pay $184,424–$270,000 — the blue band above. At the midpoint, this role pays about $212k versus about $227k for comparable roles.

Based on 240 similar postings.

Employer

About Nordstrom

Nordstrom is a leading American luxury department store chain offering a wide selection of clothing, shoes, accessories, and beauty products through its stores, Nordstrom Rack outlets, and online. Industry: Luxury Department Store Retail

Nordstrom currently has 60 open roles on FindRole.

Listed pay typically runs $166,000–$258,000 across 23 roles with salary data.

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View all roles at Nordstrom

At a glance

TL;DR · Engineering Manager, Personalization

The Engineering Manager - Personalization leads the team responsible for the Personalization Engine within the Marketing Technology and Personalization organization. This role involves managing the models and services that power real-time recommendations and complete-look outfits across digital experiences. You will define technical directions, own delivery and reliability, and operate as a player-coach by staying close to architecture and code reviews. Key responsibilities include improving model quality, data observability, and managing training pipelines. The role requires expertise in production machine learning, recommendation systems, cloud infrastructure, and Kubernetes-based platforms. Candidates should possess skills in Vertex AI, generative AI, and transformer-based recommendation approaches. You will solve the business problem of transforming behavioral and product signals into ranked, personalized content for customers across various digital properties.

What does a Engineering Manager earn in Washington?

Median $268200 from 37 postings across 10 companies.

See salary data

What you'll do

  • Define the technical direction for the Personalization Engine to convert behavioral signals into ranked recommendations.
  • Lead a team of engineers by developing their technical leadership skills and managing their career growth.
  • Own the reliability, scalability, and observability of high-scale personalization platforms for digital properties.
  • Operate as a player-coach by staying involved in architecture, code reviews, and incident response.
  • Establish delivery discipline by shaping clear priorities and consistently meeting committed project dates.
  • Translate complex model and platform work into clear value for business stakeholders and senior leadership.
  • Partner with data science, product, and platform engineering teams to align on technical requirements and goals.

What we're looking for

  • 5+ years of relevant work experience in software or machine learning engineering.
  • 2+ years of experience managing engineering teams or strong tech-lead experience ready to step into people management.
  • Depth in building and operating production ML or recommendation systems at scale, including training pipelines and low-latency model serving.
  • Experience with cloud infrastructure and Kubernetes-based platforms.
  • Track record of improving reliability regarding SLOs, on-call health, incident response, and post-incident learning.
  • Demonstrated agile delivery discipline and a track record of influencing without authority.
  • BA/BS in Computer Science or a closely related field, or equivalent practical experience.
  • Hands-on experience with Vertex AI or comparable managed ML training platforms (preferred).

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