Staff Engineer (Adobe Journey Optimizer)

Requirements:

• Experience : 5.5+ Years
• Hands-on experience working with Adobe Journey Optimizer (AJO).
• Strong working knowledge of Adobe Experience Platform (AEP).
• Experience in audience creation, evaluation, testing, and activation.
• Knowledge of AEP schemas, datasets, and Query Services.
• Experience in creating and managing events for customer journeys.
• Good understanding of customer journey orchestration and campaign management principles.
• Ability to test, troubleshoot, and validate journeys and audiences before production release.
• Experience working with cross-channel campaigns such as email, push notifications, and SMS is preferred.
• Familiarity with data governance, consent management, and best practices in AEP is desirable.
• Strong analytical, problem-solving, and collaboration skills.
• Ability to work effectively with marketing, data, and technical stakeholders.

Responsibilities:

• Design, develop, test, and publish personalized customer journeys using Adobe Journey Optimizer (AJO).
• Manage the complete journey lifecycle from requirement understanding to production deployment.
• Perform audience discovery, evaluation, validation, and activation within Adobe Experience Platform (AEP).
• Test and validate audiences to ensure readiness and accuracy prior to activation.
• Configure and manage events required for real-time journey execution.
• Use Query Services to analyze, validate, and manage event and customer data.
• Ensure correct data mapping and event availability within AJO journeys.
• Support campaign planning, execution, and optimization activities.
• Monitor journey and campaign performance and recommend improvements.
• Work with AEP schemas and datasets to ensure data quality and readiness for activation.
• Support data ingestion and audience activation processes within AEP.
• Collaborate with marketing, analytics, and technical teams to deliver effective cross-channel campaigns.
• Troubleshoot journey, audience, and event-related issues prior to production releases.