{"schemaVersion":"jobsearcher.job.v1","id":"5f056e6ff2f12321f950e00a","url":"https://jobsearcher.com/jobs/5f056e6ff2f12321f950e00a","canonicalUrl":"https://jobsearcher.com/jobs/5f056e6ff2f12321f950e00a","title":"Senior Full Stack - Audience Builder & CDP @ Remote","description":"Job Description: Senior Full Stack Engineer – Audience Builder & CDPLocation: RemoteRole: Senior Full Stack Engineer – Audience Builder & CDPRole OverviewWe are seeking a Senior Full Stack Engineer to build and scale a Customer Data Platform (CDP) and Audience Builder solution that enables real-time customer segmentation, audience preview, validation, and activation, including AI-assisted capabilities.The ideal candidate will have strong end-to-end experience across frontend, backend APIs, data platforms, real-time streaming, caching, and cloud-native infrastructure.Core ResponsibilitiesDevelop React-based Audience Builder UI for customer segmentation, preview, validation, and activation workflows.Build scalable Python or Node.js APIs and middleware for audience creation, validation, preview, and activation.Integrate customer data and segmentation workloads with Databricks / Delta Lake.Use ClickHouse for high-performance analytical queries and audience insights.Implement Redis for low-latency caching and audience metadata.Integrate Kafka / Azure Event Hub for real-time customer events and audience eligibility updates.Build and support audience activation into downstream campaign and engagement platforms.Develop AI-assisted segmentation and customer preview capabilities.Design highly scalable, low-latency, and reliable data-intensive applications.Deploy and manage microservices on Kubernetes / AKS using CI/CD best practices.Take strong end-to-end ownership across UI, APIs, data integration, and platform performance.Core RequirementsReact + TypeScript + Next.jsHands-on CDP / Audience Builder implementationAdobe Experience Platform (AEP) / Real-Time CDP (RTCDP)Python or Node.js API developmentREST APIs / middlewareDatabricks / Delta LakeKafka / Azure Event Hub / RedisStrong SQLHands-on audience segmentation and activationKubernetes / AKSMicroservices architectureNice to HaveExperience with Customer Data Platforms / Marketing TechnologyAI/ML-driven product features such as:AI-assisted segmentationRecommendationsCustomer insightsIntelligent audience discoveryExperience with large-scale, real-time data systems.Key ExpectationsStrong end-to-end ownership across frontend, backend, and data integration.Experience building data-intensive, real-time applications.Ability to design scalable, performant, low-latency systems.Strong focus on customer experience, usability, and application speed.Ability to work across engineering, data, and customer engagement use cases.Business ImpactThe engineer will help enable scalable audience creation and activation, supporting:PersonalizationCampaign effectivenessCustomer engagementReal-time audience insightsData-driven customer experiences","company":"Eit","rawCompany":"eit","city":"Denver","state":"CO","isRemote":true,"isActive":false,"createdAt":"2026-08-22T12:20:11.820Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Full Stack - Audience Builder & CDP @ Remote","description":"Job Description: Senior Full Stack Engineer – Audience Builder & CDPLocation: RemoteRole: Senior Full Stack Engineer – Audience Builder & CDPRole OverviewWe are seeking a Senior Full Stack Engineer to build and scale a Customer Data Platform (CDP) and Audience Builder solution that enables real-time customer segmentation, audience preview, validation, and activation, including AI-assisted capabilities.The ideal candidate will have strong end-to-end experience across frontend, backend APIs, data platforms, real-time streaming, caching, and cloud-native infrastructure.Core ResponsibilitiesDevelop React-based Audience Builder UI for customer segmentation, preview, validation, and activation workflows.Build scalable Python or Node.js APIs and middleware for audience creation, validation, preview, and activation.Integrate customer data and segmentation workloads with Databricks / Delta Lake.Use ClickHouse for high-performance analytical queries and audience insights.Implement Redis for low-latency caching and audience metadata.Integrate Kafka / Azure Event Hub for real-time customer events and audience eligibility updates.Build and support audience activation into downstream campaign and engagement platforms.Develop AI-assisted segmentation and customer preview capabilities.Design highly scalable, low-latency, and reliable data-intensive applications.Deploy and manage microservices on Kubernetes / AKS using CI/CD best practices.Take strong end-to-end ownership across UI, APIs, data integration, and platform performance.Core RequirementsReact + TypeScript + Next.jsHands-on CDP / Audience Builder implementationAdobe Experience Platform (AEP) / Real-Time CDP (RTCDP)Python or Node.js API developmentREST APIs / middlewareDatabricks / Delta LakeKafka / Azure Event Hub / RedisStrong SQLHands-on audience segmentation and activationKubernetes / AKSMicroservices architectureNice to HaveExperience with Customer Data Platforms / Marketing TechnologyAI/ML-driven product features such as:AI-assisted segmentationRecommendationsCustomer insightsIntelligent audience discoveryExperience with large-scale, real-time data systems.Key ExpectationsStrong end-to-end ownership across frontend, backend, and data integration.Experience building data-intensive, real-time applications.Ability to design scalable, performant, low-latency systems.Strong focus on customer experience, usability, and application speed.Ability to work across engineering, data, and customer engagement use cases.Business ImpactThe engineer will help enable scalable audience creation and activation, supporting:PersonalizationCampaign effectivenessCustomer engagementReal-time audience insightsData-driven customer experiences","datePosted":"2026-08-22T12:20:11.820Z","dateModified":"2026-08-22T12:20:11.820Z","hiringOrganization":{"@type":"Organization","name":"Eit","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5f056e6ff2f12321f950e00a"},"url":"https://jobsearcher.com/jobs/5f056e6ff2f12321f950e00a"}}