Develop and maintain Adobe Experience Manager components, templates, and content fragments. Integrate AEM with customer data, personalization, analytics, experimentation, and Tealium tagging platforms. Support A/B testing, Customer Journey Analytics, reporting, performance, security, caching, and deployment. Collaborate with authors, marketers, analysts, and front-end engineers to optimize digital experiences.
Role Overview
We are looking for an Adobe Experience Manager (AEM) Engineer to build and evolve our digital experience platform. You will develop AEM components and content models, and integrate with customer data, analytics, and experimentation tools to deliver personalized experiences.
Key Responsibilities
- Develop and maintain AEM components, templates, and Experience Fragments / Content Fragments.
- Integrate AEM with Customer Data Platform (CDP) and personalization capabilities.
- Implement and support A/B and multivariate testing.
- Configure and maintain Tealium tagging and data layers for accurate event tracking.
- Support Customer Journey Analytics: define data capture, validate implementation, and enable reporting.
- Collaborate with content authors, marketers, analysts, and front-end engineers to deliver and optimize pages.
- Follow AEM best practices for performance, security, dispatcher/caching, and deployment.
Required Qualifications
- 7+ years of experience in web development, with significant hands-on AEM experience.
- Strong knowledge of AEM architecture (Sling, OSGi, JCR) and Java.
- Experience with Content Fragments / Experience Fragments.
- Experience with CDP integrations and A/B testing platforms.
- Hands-on experience with Tealium (or comparable tag management) and Customer Journey Analytics.
Preferred Qualifications
- Adobe certifications (AEM Developer, Adobe Analytics, or Adobe Experience Platform).
- Experience with AEM as a Cloud Service and Cloud Manager pipelines.
- Front-end skills in HTML, CSS, and JavaScript.
Compensation, Benefits and Duration
Minimum Compensation: USD 48,000
Maximum Compensation: USD 168,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post.
Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Plan and manage data center capacity across global sites, including power, space, cooling, racks, fiber ports, and cross-connects. Maintain allocation records, forecasting models, dashboards, and DCIM data. Translate infrastructure demand into rack-level deployment plans, identify capacity risks, support colo expansions, reconcile physical and system inventories, and partner with operations, engineering, supply chain, and vendors. Contribute to automation and AI-enabled workflow improvements.
Top Skills:
AssetdbDcimDevice42Google SheetsGrafanaIdfIpamMdfExcelNlytePduPower BIRppSunbirdTableauUps
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Investigate and respond to security detections across endpoint, identity, email, network, and cloud environments. The analyst performs forensic and malware analysis, investigates Microsoft 365 threats, evaluates logs and telemetry, recommends remediation, improves detection processes, and communicates findings to customers. The role requires incident response knowledge, operating system and network fundamentals, identity and email security awareness, scripting skills, AI familiarity, and availability for a 4x10 schedule including weekends.
Top Skills:
Active DirectoryArtificial IntelligenceBashCrowdstrike FalconEndpoint Detection And Response (Edr)LinuxmacOSMicrosoft 365Microsoft Entra IdMitre Att&CkOktaPowershellPythonSIEMWindows
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead cross-functional initiatives that enable AI models, coding assistants, and agentic workflows across the software development life cycle. Manage model onboarding, evaluation, approvals, governance, security reviews, adoption metrics, and vendor relationships. Coordinate Engineering, Security, Data Science, Legal, and IT stakeholders while driving communication, risk resolution, change management, training, and process improvements.
Top Skills:
Agent FrameworksAgent PlatformsAgentic WorkflowsAi Coding AssistantsAi ModelsCi/CdLlmsModel EvaluationPrompt ManagementSoftware Development Life Cycle (Sdlc)
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
