The Field Engineer role sits at the intersection of solution architecture, technical consulting, and hands-on engineering. You will be embedded with Adobe's most strategic customers - working directly with their teams to solve complex platform challenges, design scalable architectures, and build what's needed to unblock adoption and expansion.

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 Success 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 requirements 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, ne working.

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 CTO.

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

How You'll Work - Pod-Based Execution

You operate within small, cross-functional Customer Pods - outcome-oriented teams embedded with specific strategic accounts.

Each Pod has:

• Customer Representative - feedback and validation
• Product Manager - prioritization and decision-making
• Engineers / Builders - implementation and experimentation
• Account Team + Enterprise Architects - enterprise alignment and strategy

The Field Engineer acts as the technical execution backbone of the Pod: customer-facing, highly technical, hands-on, enterprise-aware, and focused on rapid end-to-end delivery.

Key principles: Run small, time-boxed experiments. Maintain tight customer feedback loops.

Prototype before fully building. Document learnings and decisions. Use staged rollouts to reduce risk.

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 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 experiment tion 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.

This role is for engineers who want to understand not only how systems work - but why they matter to the customer.

Expected Pay Range:

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $159,200 -- $301,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $208,300 - $301,600

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.