More jobs:
Campaign Operations Specialist
Job in
Warren, Macomb County, Michigan, 48091, USA
Listed on 2026-06-07
Listing for:
Epitec
Seasonal/Temporary
position Listed on 2026-06-07
Job specializations:
-
IT/Tech
Data Security, Data Analyst
Job Description & How to Apply Below
- Location:
Warren, Michigan - Type:
Contract - Job #103974
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
- 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
- 3-7+ years in either backend/platform engineering or marketing technology/campaign operations
- Experience with Mar Tech 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
#INDOEM
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