Product Manager 2, Customer Data Platform & Marketing Technology

Nordstrom

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Seattle, WA
Salary: $121,500–$188,500 / yr
Employment: Full-time
Posted: 53 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $201k

This role $155k

$108k $246k

below market most similar roles pay here above market

This role pays less than 90% of similar roles. Most pay $176,450–$226,266 — the blue band above. At the midpoint, this role pays about $155k versus about $201k 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.

Most-posted roles

View all roles at Nordstrom

At a glance

TL;DR · Product Manager 2, Customer Data Platform & Marketing Technology

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The Product Manager 2— Customer Data Platform & Marketing Technology joins the Nordstrom Product Management team to manage products and integrations connecting customer data to marketing channels. This role involves owning the Customer Data Platform (CDP) roadmap, managing vendor relationships, and driving AI agent enablement to improve data onboarding and journey support. You will build and maintain marketing feed connections, troubleshoot data flows, and translate campaign needs into technical requirements. Key responsibilities include monitoring KPIs for data quality and latency while collaborating with Engineering and Analytics. Required skills include proficiency in SQL, experience with customer data platforms like Treasure AI or Segment, and familiarity with software development principles. You will use tools such as VS Code, GitHub, and AI tools like Claude Code or GitHub Copilot to prototype workflows and validate data.

What does a Product Manager earn in Washington?

Median $224500 from 112 postings across 23 companies.

See salary data

Skills

Customer Data Platform (CDP) SQL APIs Data Pipelines GitHub VS Code Command-line Claude Code GitHub Copilot Cursor Salesforce Marketing Cloud Adobe Journey Optimizer Segment Treasure AI Branch AppsFlyer Data Quality

What you'll do

Own the Customer Data Platform (CDP) roadmap, including onboarding data sources and improving data quality.
Serve as the primary point of contact for CDP and deep linking vendors to manage relationships and contract renewals.
Drive AI Agent enablement within the CDP to expand access and identify new use cases for data analysis.
Support marketing feed connections to ensure data completeness, timeliness, and accuracy for advertising platforms.
Translate marketing campaign needs into clear technical requirements and prioritize the product backlog with Engineering.
Define and monitor KPIs for CDP health, including data quality, latency, match rates, and feed accuracy.
Use AI tools and SQL to prototype workflows, build internal tools, and validate data quality independently.
Partner with Engineering and Analytics to write specifications and ensure data integrity throughout the product lifecycle.

What we're looking for

Bachelor's Degree in Information Technology, Computer Science, Data Science, Business, Marketing, or related experience required.
3+ years of product management experience in a technology-driven environment required.
Working knowledge of customer data platforms, marketing feed management, and data flow to advertising platforms required.
Proficiency in SQL to write and run ad hoc queries against large, complex customer data sets required.
Familiarity with VS Code, command-line tools, and GitHub for collaborating on prototypes and specs required.
Experience managing vendor relationships and translating business needs into prioritized technical requirements required.
Familiarity with deep linking and attribution technology (preferred).
Experience with Salesforce Marketing Cloud, Adobe Journey Optimizer, or other marketing automation platforms (preferred).

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