> Markdown version of [/jobs/ext/2852501-senior-adobe-journey-optimizer-ajo-engineer-remote-telecommute](https://www.wearedevelopers.com/jobs/ext/2852501-senior-adobe-journey-optimizer-ajo-engineer-remote-telecommute). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Adobe Journey Optimizer (AJO) Engineer - Remote / Telecommute - **Company:** CYNET SYSTEMS INC. - **Location:** Nashville, TN, United States (Remote available) - **Experience:** Expert - **Salary:** $114,400.0 - $124,800.0 - **Contract:** Permanent contract - **Skills:** Adobe Experience Manager, Data Analysis, Customer Data Management, Data Validation, Data Governance, Data Synchronization, Relational Databases, Database Queries, JSON, Standard Sql, PL-SQL, SQL Databases, Data Streaming, Data Ingestion, Snowflake, Adobe, Data Lakes, Restful APIs, Webhooks, Data Pipelines, Api Management - **Published:** September 11, 2026 - **Apply:** https://www.careerjet.com/jobad/us94e985a6be85c2883b4b57d7e7e4de9d ## About the Role * Senior-level hands-on practitioner with extensive, daily operational experience implementing and supporting Adobe Experience Platform (AEP) modules. * Expert-level journey canvas design, message authoring (Email, Push, SMS), event configuration, and troubleshooting in Adobe Journey Optimizer (AJO). * Experience with Adobe Real-Time CDP (RTCDP) including profile management, audience segmentation, identity graphs, and data governance. * Experience with Adobe Data Distiller for querying data lakes, generating custom datasets, and running SQL queries. * Experience configuring personalized offers, rules, and decision scopes in Decision Management. * Advanced proficiency in Standard SQL, PL/SQL, and AEP Query Service. * Hands-on experience with cross-platform data validation and tracing data pipelines from Snowflake into AEP. * Solid understanding of relational database concepts, data modeling, and schema structures (XDM Individual Profile and Experience Events). * Proficiency in building custom actions, API integrations, and webhooks for real-time campaign triggers. * Familiarity with JSON payloads, REST APIs, and event-driven data flows. * Strong verbal and written communication skills., * Adobe Journey Optimizer (AJO). * Adobe Real-Time CDP (RTCDP). * Adobe Data Distiller. * Adobe Experience Platform (AEP). * Standard SQL. * PL/SQL. * AEP Query Service. * Snowflake. * JSON. * REST APIs. * Webhooks. * Customer Journey Analytics (CJA). * XDM Data Modeling. ## Description * Lead the hands-on creation, testing, and deployment of complex multi-step journeys, transactional triggers, and batch campaigns within Adobe Journey Optimizer (AJO). * Implement real-time, event-driven journey triggers and align event tracking schemas to capture high-frequency touchpoints. * Act as the primary technical point of contact for daily AJO and RTCDP operational issues, diagnosing flow failures, payload errors, and data sync gaps. * Leverage Adobe Data Distiller and AEP Query Service to query data lakes, build derivative datasets, and perform advanced data analysis. * Support daily audience segmentation, profile merge policies, identity stitching, and data ingestion validation within RTCDP. * Build, update, and manage AJO Decision Management rules, fallback offers, and ranking strategies. * Execute hands-on data validation and quality checks, specifically reconciling data pipelines and movement from Snowflake to AEP. * Map journey event data into Customer Journey Analytics (CJA) to enable comprehensive attribution and behavioral reporting. * Configure global suppression logic, frequency capping, and cooldown rules to ensure brand compliance. * Configure and maintain custom actions, webhook integrations, and lightweight custom code extensions. * Consult with business stakeholders to identify and suggest use cases that maximize the ROI of the AJO toolkit. Nice to Have: * Retail industry experience, particularly familiarity with high-frequency customer data, retail loyalty operations, and high-volume promotional schedules. ## Related Videos - [3x Performance: A Humbling Journey](https://www.wearedevelopers.com/videos/100165-3x-performance-a-humbling-journey) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [What If We Designed Employee Experience Like a Customer Journey?](https://www.wearedevelopers.com/videos/1824-what-if-we-designed-employee-experience-like-a-customer-journey) - [Designing and Deploying Distributed Multimodal Multi-Agent Systems with Google's AI Stac](https://www.wearedevelopers.com/videos/1976-designing-and-deploying-distributed-multimodal-multi-agent-systems-with-google-s-ai-stac) - [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure) - [Database Magic behind 40 Million operations/s](https://www.wearedevelopers.com/videos/748-database-magic-behind-40-million-operations-s) ## Related Articles - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)