Your roleAdobe's Growth Marketing & Insights (GMI) organization is in the middle of a genuine, ground-up reinvention of how marketing teams operate. We're no longer adding AI tools to the margins-we're rebuilding workflows from first principles, with agentic AI at the center. The Forward Deployed AI Engineer role exists to make that happen.
As a member of the AI Strategy & Innovation (AISI) team, you'll be embedded with a marketing team, working alongside them, learning their craft, and building tools and automations that transform the way they operate. You are both a builder and a partner who can rapidly prototype solutions and take immediate feedback to improve them.
You'll also be part of the connective tissue across the AISI team. You'll share what you build, incorporate what others have built into your own work, and help to establish the playbooks and patterns that scale good ideas across all of GMI. We work shoulder-to-shoulder with marketers across every function and measure ourselves by this question: did we improve the way that someone works?
Traits of the successful candidateGenuine excitement about what AI can do right now and what it will do next. You're pulled toward new AI developments, not just keeping up with them. When a new capability surfaces, your first instinct is to get your hands on it. You have opinions about what's useful, and what's just hype, because you've tested enough of it to know the difference.
An instinct for communication that runs as deep as your technical skills. Building a great tool is only half the job. The other half is getting someone to trust it, use it, and eventually own it. You're patient with skeptics, know how to calibrate your approach, and measure yourself by whether people actually change how they work.
Intense curiosity. Before you build anything, you ask questions. You want to understand the actual workflow, the real friction, the underlying goal-not just the surface-level ask. You'd rather find the elegant fix than force a tool where it doesn't belong.
An appreciation for marketing work, and many ideas on how to transform it. You don't need to be a seasoned marketer, but you respect the craft-and ideally you've spent meaningful time working in or alongside a marketing organization. When someone explains their workflow, you get it quickly and know which parts to push on.
Minimum requirements- 5+ years of technical experience and 2+ years building and deploying AI applications
- Your technical experience has involved analytical thinking, creative problem-solving, and collaboration
- Expertise in AI development platforms and tooling (e.g. Claude Code, Cursor, agent frameworks, API integrations, Azure, AWS, etc.)
- Expertise in Python, SQL, and at least one other common language
- Hands-on experience building AI-powered tools, automations, or agentic systems that change how real work gets done
- Demonstrated ability to coach or enable others, with evidence that people you worked with changed their behavior as a result
- Strong communication skills with the ability to make technical ideas feel accessible to non-technical audiences
- Ability to manage multiple relationships and workstreams simultaneously, meeting people where they are across different stages of AI fluency
Preferred qualifications- Direct experience working inside a marketing department or marketing operations function
- A background in machine learning, with demonstrated experience in building models for segmentation, attribution, clustering, and other common marketing use cases
- Familiarity with Adobe's marketing technology ecosystem: Adobe Experience Platform, Adobe Analytics, GenStudio for Performance Marketing, Adobe Journey Optimizer, Workfront, etc.
- Knowledge of Adobe's Creative & Productivity product lines: Photoshop, Illustrator, Premiere, Acrobat, etc.
- Experience building internal tools or playbooks that outlasted your involvement and spread beyond your immediate team
- Background in consulting, solutions engineering, or client-facing technical roles where you had to earn trust quickly and deliver tangible value fast
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 $125,600 -- $234,150 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 $161,700 - $234,150
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.
