Agentic Outcome Engineer

The Opportunity

Join the Agentic Outcome Engineering team to help enterprise customers succeed with AIpowered search and discovery. As an Agentic Outcome Engineer specializing in Adobe Brand Visibility (ABV) youll combine technical expertise customer success skills and AI development to drive brand consistency site visibility and customer sentiment. Youll build tools automations and repeatable processes that make measurable outcomes achievable at scale.

Youll partner closely with customers to onboard implement and optimize ABV resolving technical challenges accelerating adoption and enabling durable datadriven improvements across digital experiences.

What Youll Do

Customer Collaboration & Optimization

• Apply Adobe Brand Visibility recommendations to improve brand consistency visibility and content quality.

• Translate insights into concrete changes to content metadata and digital experiences.

• Build tools and automations that streamline ingestion onboarding and application of ABV outputs.

• Design and refine intelligent agents that support the ABV lifecycle (e.g. content evaluators metadata generators QA agents).

• Integrate ABVpowered agents with AEM AEP and customer systems via APIs and data pipelines.

• Implement safety and quality guardrails fallback logic and humanintheloop workflows.

• Lead technical integration of ABV including data mapping workflow configuration and resolving challenges.

• Provide handson support through setup validation optimization execution and performance monitoring.

• Communicate technical concepts clearly to marketing engineering and executive partners.

Measurement & Continuous Improvement

• Define success metrics across visibility consistency CSAT content quality and task completion.

• Run experiments analyze impact and iterate based on performance data.

• Identify edge cases and optimization opportunities across customer workflows.

• Bachelors degree in CS Engineering or equivalent experience.

• Strong engineering skills with Python JavaScript/Node TypeScript or similar languages.

• Strong SEO / GEO / content delivery systems experience

• Experience with LLMbased applications AI agents RAG systems or workflow automation.

• Ability to interpret ABV insights and translate them into actionable optimizations.

• Excellent communication and customerfacing skills.

• Preferred: Experience with AEM Adobe Experience Platform or Adobe Experience Cloud.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity productivity and personalized customer experiences. Adobes industry-leading offerings including Adobe Acrobat Studio Adobe Express Adobe Firefly Creative Cloud Adobe Experience Platform Adobe Experience Manager and GenStudio enable people and businesses to turn ideas into impact powered by AI and driven by human ingenuity.

Our 30000 employees worldwide are creating the future and raising the bar as we drive the next decade of growth. Were on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Lets Adobe together

At Adobe we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life including our values and culture focus on people purpose and community Adobe for All comprehensive benefits programs the stories we tell the customers we serve and how you can help us advance our mission of empowering everyone to create.

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Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work your application may not move forward in the process.

At Adobe we empower employees to innovate with AI and we look for candidates eager to do the same. As part of the hiring experience we provide clear guidance on where AI is encouraged during the process and where its restricted during live interviews. See how we think about AI in the hiring experience.