AJO Developer

Promaynov Advisory Services Pvt. Ltd

Bengaluru

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+
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Job summary

Promaynov Advisory Services Pvt. Ltd is seeking an experienced AJO Developer in Bengaluru, India. The successful candidate will design, build, and optimize personalized customer journeys using Adobe Journey Optimizer (AJO) and Adobe Experience Platform (AEP). Responsibilities include managing customer profiles, audience segmentation, integrating with CRM systems, and troubleshooting. A minimum of 5–8 years of IT experience with strong technical skills in data management and marketing automation is required.

Qualifications

  • 5–8 years of overall IT experience, focusing on AEP and AJO.
  • Strong hands-on experience in customer data management.
  • Proven experience in journey orchestration and campaign execution.

Responsibilities

  • Design and develop personalized customer journeys using AJO.
  • Configure and manage customer profiles and datasets in AEP.
  • Integrate AEP/AJO with CRM and analytics systems.

Skills

Adobe Experience Platform (AEP)
Adobe Journey Optimizer (AJO)
XDM schema design
Audience segmentation
Journey orchestration
APIs
SQL
JSON

Tools

Adobe Target
Adobe Analytics
Adobe Campaign

Job description

We are looking for an experienced AJO Developer with strong expertise in Adobe Experience Platform (AEP) and Adobe Journey Optimizer (AJO) to design, build, and optimize personalized customer journeys across digital channels. The ideal candidate should have hands‑on experience in customer data management, audience creation, journey orchestration, and campaign execution within the Adobe Experience Cloud ecosystem. This role requires both technical depth and the ability to work closely with business, marketing, and analytics teams.

Key Responsibilities
  • Design and develop personalized customer journeys using Adobe Journey Optimizer (AJO).
  • Configure and manage customer profiles, schemas, datasets, identities, and audiences in Adobe Experience Platform (AEP).
  • Build and maintain real‑time and batch audience segmentation for marketing use cases.
  • Integrate AEP/AJO with upstream and downstream systems such as CRM, CDP, analytics, and campaign platforms.
  • Develop and support event‑driven marketing journeys using real‑time customer signals.
  • Collaborate with business stakeholders, architects, and marketing teams to translate requirements into scalable solutions.
  • Troubleshoot platform, data flow, and journey execution issues.
  • Ensure best practices for data governance, profile unification, consent, and campaign quality assurance.
  • Support testing, deployment, and production stabilization of AEP/AJO solutions.
  • Contribute to reusable frameworks, documentation, and implementation standards.
Required Skills And Qualifications
  • 5–8 years of overall IT experience, with strong hands‑on experience in Adobe Experience Platform (AEP) and Adobe Journey Optimizer (AJO).
  • Proven experience in XDM schema design.
  • Dataset and identity management.
  • Profile enablement.
  • Audience segmentation.
  • Journey orchestration.
  • Offer decisioning / campaign execution.
  • Strong understanding of customer data platforms, marketing automation, and personalization use cases.
  • Experience with Adobe Experience Cloud ecosystem and integrations.
  • Knowledge of APIs, data ingestion methods, and integration patterns.
  • Familiarity with SQL, JSON, APIs, and data validation/troubleshooting.
  • Understanding of real‑time customer profile and event‑based architecture.
  • Strong communication and stakeholder management skills.
Preferred Qualifications
  • Experience with Adobe Target, Adobe Analytics, or Adobe Campaign.
  • Exposure to enterprise marketing technology architecture.
  • Experience working in Agile delivery models.
  • Adobe certifications in AEP/AJO are preferred.
Key Competencies
  • Journey orchestration
  • Customer segmentation
  • MarTech platform integration
  • Data modeling and governance
  • Problem‑solving and debugging
  • Cross‑functional collaboration
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