Product Manager- Retail Media Network

Flexton Inc.

Chicago (IL)

On-site

USD 100,000 - 130,000

Full time

14 days+
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Job summary

A leading technology firm based in Chicago is looking for a Mid-Senior level EDI Integration Engineer. The role requires expertise in product management, with a strong focus on ad tech and retail media. Candidates should have extensive experience building self-serve platforms, understanding privacy regulations, and collaborating with technical teams. This is a contract position offering a unique opportunity in a growing industry.

Qualifications

  • 12+ years of product management experience, with at least 5+ years in ad tech, martech, or retail media.
  • Strong technical fluency — ability to collaborate with engineering.
  • Deep understanding of ad tech ecosystem and data pipelines.

Skills

Product management experience
Ad tech experience
Technical fluency
Stakeholder management
Knowledge of privacy regulations

Job description

Overview

Hiring for EDI Integration Engineer in Cincinnati OH ( Right to hire role)

Product Manager- Retail Media Network

Qualifications
  • 12+ years of product management experience, with at least 5+ years in ad tech, martech, or retail media.
  • Experience building advertiser self-serve platforms or working in a two-sided marketplace (retailers + advertisers).
  • Strong technical fluency — ability to collaborate with engineering on APIs, ad delivery systems, data pipelines, and reporting platforms.
  • Deep understanding of ad tech ecosystem (DSPs/SSPs, ad servers, bidding, attribution, identity resolution).
  • Familiarity with first-party retail data, shopper behavior, and closed-loop measurement.
  • Proven track record of taking products from 0→1 and scaling adoption.
  • Strong stakeholder management and communication skills — able to align executives, merchants, and advertisers.
  • Knowledge of privacy regulations (GDPR, CCPA) and their implications on advertising.
Nice to Have
  • Experience in retail, eCommerce, or consumer-facing platforms.
  • Exposure to machine learning-driven personalization or targeting.
  • Prior work in a startup / high-growth environment.
  • Familiarity with clean room technologies (e.g., Snowflake, Habu, LiveRamp).
Seniority level
  • Mid-Senior level
Employment type
  • Contract
Job function
  • Product Management
Industries
  • IT Services and IT Consulting
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