[Hiring] Middle/Senior MarTech Engineer @Exadel Inc (Website)

Role Description

We are looking for a Middle/Senior MarTech Engineer (Adobe) with strong hands-on experience across the Adobe Experience Cloud ecosystem, particularly Customer Journey Analytics (CJA), Adobe Journey Optimizer (AJO), Adobe Target, and Adobe Data Collection. In this role, you will be responsible for supporting, implementing, and maintaining Adobe MarTech solutions, ensuring reliable data collection, accurate measurement, and unified customer journey analytics across multiple channels and datasets.

What You’ll Do

• Customer Journey Analytics (CJA):
  • Build, configure, and maintain Connections and Data Views.
  • Create and manage metrics, dimensions, and calculated metrics.
  • Enable identity stitching across multiple datasets to support unified customer journey analysis.
  • Integrate data from Adobe Journey Optimizer, Adobe Target, offline sources, and other platforms to enable comprehensive reporting.
• Adobe Target:
  • Implement and support tracking for A/B Testing, Auto-Target, and Auto-Personalization activities.
  • Validate experiment data in Adobe Analytics and Customer Journey Analytics.
  • Ensure accurate and reliable measurement of personalization and experimentation initiatives.
• Adobe Journey Optimizer (AJO):
  • Support the implementation of customer journeys and experiences.
  • Integrate AJO engagement data into Customer Journey Analytics.
  • Enable end-to-end journey reporting through data integration and identity stitching.
• Adobe Launch / Data Collection:
  • Manage and maintain Adobe Data Streams and Data Prep rules.
  • Implement and maintain Adobe Experience Platform Web SDK tracking, including custom components.
  • Deploy and govern media pixels, third-party tags, and external integrations.
  • Support Adobe Target and Adobe Journey Optimizer implementations through reliable data collection and configuration.
  • Collaborate with marketing, analytics, and technical stakeholders to ensure consistent data implementation and measurement across the Adobe Experience Cloud ecosystem.
  • Troubleshoot tracking issues, investigate data discrepancies, and continuously improve implementation quality and reliability.
  • Ensure proper documentation and governance of configurations, tracking specifications, integrations, and data flows.

Qualifications

• Hands-on experience with the Adobe Experience Cloud ecosystem, particularly Adobe Customer Journey Analytics (CJA), Adobe Target, Adobe Journey Optimizer (AJO), and Adobe Data Collection.
• Practical experience building and managing CJA Connections and Data Views, including metrics, dimensions, and calculated metrics.
• Strong understanding of identity stitching, identity namespaces, and cross-dataset data integration.
• Experience implementing and maintaining Adobe Experience Platform Web SDK and Adobe Data Collection (formerly Adobe Launch).
• Knowledge of Adobe Data Streams and Data Prep, including configuration and troubleshooting.
• Experience supporting experimentation and personalization initiatives using Adobe Target, including A/B Testing, Auto-Target, and Auto-Personalization.
• Experience integrating customer engagement and journey data from AJO into CJA for unified reporting.
• Strong understanding of digital analytics, event tracking, data collection, and customer journey measurement.
• Ability to troubleshoot technical issues, validate data accuracy, and work independently across multiple MarTech solutions.
• Strong communication and collaboration skills, with the ability to work with both technical and business stakeholders.
• Availability to provide full-time coverage (40 hours per week), preferably aligned with Mountain Time (MT).

Nice to have

• Experience working with Adobe Experience Platform (AEP) and its broader ecosystem.
• Familiarity with Adobe Analytics and its integration with Customer Journey Analytics.
• Experience with APIs, JavaScript, JSON, and web technologies used in tracking implementations.
• Knowledge of data layer architecture, event schemas, and digital tagging strategies.
• Experience integrating online and offline customer data sources.
• Familiarity with marketing technology governance, implementation documentation, and data quality practices.
• Previous experience supporting large-scale digital analytics or personalization implementations in complex enterprise environments.
• English level: Advanced.

Requirements

• Compensation Transparency: The expected compensation range for this role is $55–65/hr USD, with eligibility for commission, bonus, or other incentive compensation where applicable. Actual compensation will be determined based on experience, skills, qualifications, geographic location within the United States, and business needs.
• Location Eligibility: This role is open to candidates residing in the United States.
• Experience Requirements: We welcome applicants with relevant experience regardless of where it was obtained. US work experience is not required.
• Use of Artificial Intelligence in Hiring: We may use automated tools or artificial intelligence systems to support the screening, assessment, or selection of applicants as part of our hiring process.

Benefits

• US-based employees are eligible to participate in Exadel’s benefits programs, which may include comprehensive health, dental, and vision coverage; life and disability insurance; retirement savings programs; paid time off; paid holidays; and other wellness or voluntary benefit programs, subject to plan terms and eligibility requirements.

Company Description

Exadel is an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. Our people are ambitious, collaborative, and constantly evolving.