Senior Forward Deployed Engineer
The Opportunity
Adobe Experience Platform powers real-time customer experiences for the world’s largest enterprises - unifying data, resolving identity at scale, orchestrating journeys, and activating audiences across every channel. Behind these capabilities are engineering teams that must understand both the platform’s architecture and the regulated, complex environments where customers operate.
The FDE role sits at the intersection of solution architecture, technical consulting, and hands-on engineering. You will be embedded with Adobe’s most strategic EMEA customers - working directly with their teams to solve complex platform challenges, design scalable architectures, and build what’s needed to unblock adoption and expansion.
This is not a support role. You don’t wait for tickets. You operate inside cross-functional Customer Pods - small, autonomous teams with end-to-end ownership - translating customer problems into working platform solutions. You lead with architecture, prototype rapidly, and close the gap between what customers need and what the platform delivers.
What You’ll Do
Partner directly with strategic customers to understand their architecture, workflows, security requirements, and business objectives
Translate complex customer problems into scalable solution designs, reference architectures, and working prototypes
Investigate and troubleshoot production-level platform issues - from data ingestion and identity resolution to journey orchestration and audience activation
Design and validate end-to-end enterprise solutions spanning AEP, RTCDP, AJO, and adjacent Adobe systems
Lead architecture workshops, health checks, and technical deep-dives that earn customer trust before any commercial motion
Rapidly prototype, experiment, and iterate on new capabilities - using AI-assisted tools as a standard part of execution
Bridge the gap between customer needs, product direction, and engineering implementation - feeding field patterns back into the product roadmap
Own the technical relationship with assigned accounts - from initial discovery through implementation, go-live, and expansion
What Succes Looks Like
We hire for demonstrated impact, not credential accumulation. Strong candidates will show:
Customer-to-Solution Thinking - you connect customer problems, workflows, and business goals with practical technical solutions - collapsing the gap between requirement and working platform capability
Architecture with Execution - you don’t just design; you prototype, validate, debug, and iterate. Your architectures work because you’ve built them, not just drawn them
Production Awareness - you understand how distributed systems behave at scale - data integrity, graceful degradation, and observability are part of how you think, not afterthoughts
Enterprise Navigation - you operate across complex organizational boundaries, regulatory constraints, and multi-stakeholder environments with confidence and credibility
AI-Augmented Execution - you use AI-assisted development tools (Claude Code, Cursor, GitHub Copilot, or equivalent) as a standard part of how you design, prototype, and deliver
Adaptability Under Ambiguity - you navigate evolving environments where experimentation, learning, and iteration are core to the process - and you don’t mistake seniority for certainty
Typical background: 8-15+ years across solution architecture, software engineering, technical consulting, or customer-facing engineering roles. What matters is what that experience has produced - not the title or the number of years.
Your Domain
AEP / RTCDP / AJO: Adobe’s core platform - data ingestion, segmentation, journey orchestration, audience activation
Enterprise Architecture: Multi-system integration, data flows, identity resolution, API design across complex landscapes
Security & Compliance: Regulated industries (FSI, Healthcare), data sovereignty, privacy-preserving architectures, GDPR
Cloud Platforms: AWS, Azure - infrastructure patterns, managed services, networking
Data Platforms: Event-driven architectures, streaming pipelines, batch processing, data lakes
Observability: Platform health, SLO definition, performance governance, production monitoring
What We Value
Beyond technical execution, the people who grow fastest on this team demonstrate:
Agency - You identify problems before they are assigned to you and drive them to resolution
Product Judgment - You understand what the platform needs to do for customers, not just what the ticket says to build
Customer Empathy -You earn trust by understanding the customer’s world - their constraints, pressures, and what success looks like for them
Builder Mindset - You are as comfortable prototyping a new capability as you are presenting an architecture to a CT
Nice to Have :
Experience with Adobe Experience Cloud products (AEP, AJO, RTCDP, CJA, Target)
Experience with similar platforms - CDP, MDM, martech, or data platforms
Background in regulated industries (Financial Services, Healthcare, Government) and familiarity with their compliance and security constraints
Experience with data governance, privacy-preserving computation, or secure data collaboration patterns
Familiarity with identity resolution or customer data unification systems
Experience with workflow orchestration (Temporal, Step Functions, or similar)
Track record of driving architecture decisions or technical strategy at team or org level
Why This Team
Work on complex enterprise problems with direct customer impact - your solutions go live in production, not in slide decks
Operate inside autonomous, cross-functional Pods embedded with Adobe’s most strategic EMEA accounts
Combine architecture, strategy, engineering, and customer engagement in a single role - no two weeks look the same
Shape a new engineering engagement model centered around rapid experimentation and AI-assisted execution
Collaborate with experienced engineers across Adobe’s global platform teams
Build engineering credibility that earns expansion rights - from workshops to FDE to renewals
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s 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 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re 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.
Let’s 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.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
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AI Use Guidelines for Interviews:
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 it’s restricted during live interviews. See how we think about AI in the hiring experience.