Senior Manager - Software Engineering

The U.S. Consumer Services and Enterprise Digital & Data Technology Team delivers strategic technology capabilities across digital experiences, AI/ML, marketing technology, enterprise communications and automation.

We are looking for a Senior Engineer II – MarTech Architecture, Adobe Journey Optimizer & Decisioning to lead the architecture, design and hands-on implementation of enterprise customer journey orchestration, personalization and decisioning solutions.

This role requires deep expertise in Adobe Journey Optimizer (AJO), AJO Decisioning/Offer Decisioning, Adobe Experience Platform (AEP) and Real-Time CDP (RTCDP), combining architect-level thinking with hands-on engineering, strong ownership, technical leadership and effective engagement with business and senior stakeholders.

• Own the architecture, design and hands-on implementation of enterprise AJO and Decisioning/Offer Decisioning solutions.
• Architect real-time, event-triggered, audience-triggered and scheduled customer journeys, including events, audiences, actions/custom actions, conditions, channels and personalization.
• Design personalization and decisioning capabilities including eligibility, ranking, decision policies, business rules and propositions.
• Architect AEP/RTCDP solutions covering XDM schemas, datasets, identities, Real-Time Customer Profile, events, audiences and segmentation.
• Design end-to-end customer engagement solutions across Adobe Data Collection, Web/Mobile SDK, AEP, RTCDP, AJO, Decisioning and CJA.
• Architect and support enterprise integrations using REST APIs, Postman, JSON and custom actions, including authentication, payload validation and troubleshooting.
• Use SQL for data analysis, validation, reconciliation and troubleshooting.
• Drive engineering quality through code reviews, automated testing, CI/CD, deployment automation, monitoring, security, performance and scalability best practices.
• Provide technical and architecture leadership within Agile teams, mentor engineers and drive complex technical challenges through resolution.
• Take end-to-end accountability for technical quality, delivery, risks and business outcomes.
• Partner effectively with marketing, product, engineering, data, analytics, Adobe and implementation partners.
• Navigate ambiguity and influence across organizational boundaries to drive complex initiatives to resolution.
• Communicate architecture, strategy, progress, risks and recommendations to technical, business and senior management audiences, connecting technology decisions to customer and business outcomes.
• Identify opportunities to leverage AI/Generative AI across personalization, decisioning, content, analytics, engineering productivity and customer experience.

• 12+ years of technology/software engineering experience, preferably across MarTech, personalization, customer engagement, CDP, journey orchestration or enterprise application development.

• 5+ years of hands-on Adobe MarTech/Experience Cloud experience, with architect-level expertise and strong implementation capabilities.

• Demonstrated experience delivering enterprise Adobe implementations, including substantial AJO/AEP solutions.

• Deep hands-on expertise in AJO, journey orchestration, personalization and Decisioning/Offer Decisioning.

• Strong expertise in AEP, RTCDP, XDM, datasets, Identity Service, Real-Time Customer Profile and segmentation.

• Working with knowledge of CJA, Adobe Data Collection, Web SDK, Mobile SDK, Adobe Analytics and Adobe Target.

• Strong understanding of customer identity, profiles, audiences, event-driven architecture and real-time personalization/decisioning.

• Strong hands-on experience with REST APIs, Postman, JSON, SQL and enterprise integrations.

• Experience with Agile engineering, CI/CD, automated testing and cloud-native technologies including Docker and Kubernetes.

• Strong understanding of software design patterns, security, performance and scalability.

• Proven ability to lead and mentor technical teams, influence across organizational boundaries and balance strategy, architecture and hands-on execution.

• Excellent problem-solving, ownership, executive communication, presentation and storytelling skills.

• Curiosity and willingness to adopt emerging technologies, particularly AI/Generative AI.

• Additional Technical Experience Preferred

• Experience in one or more of the following is advantageous:

• Java, J2EE, Spring Boot and enterprise application development

• Relational databases and GCP Big Query

• JUnit, Cucumber, TDD and BDD

• Enterprise REST APIs and web services

• React or modern web technologies

• Multi-threaded programming and data structures

• Cloud-native deployment and monitoring

• Bachelor’s or master’s degree in computer science, Computer Engineering, Engineering, Technology or a related discipline, or equivalent relevant professional experience. Advanced degree preferred.