Campaign Operations Specialist

  • Location: Warren, Michigan
  • Type: Contract
  • Job #103974

CAMPAIGN OPERATIONS SPECIALIST
Location:

Warren, MI

Job Type:
Contract / W2 ONLY 

Expected hours per week:
40 hours per week

Schedule (include days, hours, onsite/hybrid or remote):
Monday–Friday, standard business hours

Pay Range (must include “per hour”):
$45-51/hr


Job Description:

We are seeking a Campaign Operations Specialist to help build and operate a high-volume, omni-channel notification platform supporting customer communications across push, SMS, email, and in-app messaging, with a strong focus on mobile and push activation.

Key Responsibilities:

  • Partner with engineering teams to support APIs, integrations, and backend services for notification delivery (push, SMS, email, in-app)
  • Help build scalable messaging capabilities, including templates, personalization, and experimentation frameworks
  • Support integration with tools like Adobe Experience Platform and Adobe Journey Optimizer (AJO)
  • Ensure system reliability through monitoring, logging, alerting, and incident response
  • Work with data teams to enable targeting, personalization, and event-driven messaging
  • Implement controls such as frequency capping, consent management, and suppression rules
  • Act as a bridge between engineering and marketing teams, translating requirements into scalable solutions

Post-Transition (Campaign Execution Focus):

  • Execute and manage mobile/push campaigns within Adobe Journey Optimizer (AJO)
  • Build audiences, journeys, and personalization strategies
  • Perform A/B testing and campaign optimization
  • Monitor campaign performance and recommend improvements

Qualifications:

  • 3–7+ years in either backend/platform engineering or marketing technology/campaign operations
  • Experience with MarTech tools (AJO, Braze, Salesforce Marketing Cloud, Iterable, etc.)
  • Strong understanding of APIs, data flows, and system integrations
  • Experience with event-driven systems (Kafka, Kinesis, etc.) preferred
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
  • Experience with PEGA and enterprise decisioning tools is a strong plus

#LI-WH1
#INDOEM

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