WHAT YOU'LL DO

Design and implement solutions to resolve Marketing or Care based challenges using the Adobe Experience Cloud solutions

Assessing/auditing existing client digital ecosystems and recommend optimizations based on communicated client objectives, proven past successes and industry best practices

Design relevant multi-channel/multi-tactic architecture diagrams/documentation to support the recommended approaches

Create 2 to 4-year digital marketing roadmap(s) necessary using a deep understanding of audience segments to drive personalization and targeting

Assist with solution project estimation, scope definition, resource allocation and formulating project timelines

Code POCs, solutions, integrations and production deliveries in various client projects, using multiple technology stacks including Typescript, Nextjs, Python, Java

Extensively use AI tools like Claude Code, Cursor, V0 and Vercel during the code development process, and also build innovative agentic tools to automate and optimize Quality, processes and workflows.

Bring a strong sense of Engineering Excellence, Innovation to the business and teams, and all the software being developed and configured by the teams

Oversee the delivery of Best-in-Class multi-channel/multi-tactic digital solutions

Recommend management and governance policies using client constraints

Implement testing strategies (process, unit, stress, etc.) to validate adherence to specifications

Outline key performance objectives and methodologies for measurements of success

Effectively engage internal and external technical, C-Suite and senior leadership resources throughout the engagement lifecycle

Create internal and external knowledge sharing in the form of blog posts, whitepapers, best practices, methodologies, etc

Use AI tools like Claude, Cursor, V0/Vercel to build AI enabled workflows, agents, skills, tools and automation for strong operational efficiencies, automation and intelligent tracking

Build innovative solutions and mindset in the team to use AI tools to the maximum to foster innovation in product development and engineering delivery

WHAT YOU'LL NEED

8 to 10 years of engineering experience

Adobe Multi-Solution architect and other related certifications

Deep technical and architectural experience with multiple Adobe products including Adobe Experience Manager (AEM Sites, Assets, Forms, Headless), Edge Delivery Services, AEP, RTCDP, Workfront, Fusion, Adobe Analytics, Target, Campaign, Journey Optimizer

4+ years’ experience hands-on implementing and/or managing daily operations with three or more Adobe Experience Cloud solutions

4+ years’ architecting and implementing complex digital marketing solutions across Site, SEM, Media, Mobile App, and Email for large corporate environments

Strong experience in Enterprise architecture, Digital transformation programs, Marketing technology implementations

Experience with content management systems, including headless CMS systems like Contentful, Sanity, ContentStack

Strong experience in hands-on development in various technology stacks, including Typescript, NextJS, Python, Java

Strong experience working with data management systems

Experience producing project estimating, scope definition, resource allocation and project timelines in pre-sales and/or migratory environments

Hands on experience delivering customer-facing solutions using client-side technologies, server-side programing and server-to-server APIs

Strong client facing experience in solutioning, pitching, problem solving. Experience with clients in the US, EU is mandatory

Superior problem solving, organizational, decision-making, written, oral and interpersonal skills.

Experience working with global teams across US, India, LATAM, EU

Experience leading large global technology delivery programs

Hands-on experience in system design and architecture, including leading technical discussions, evaluating trade-offs, and making informed architectural decisions

Experience working in modern engineering environments, embracing iterative delivery, continuous experimentation, rapid feedback loops, and outcome-driven execution