Forward-Deployed AI Engineer - Marketing Analytics & Data Science
Skills
About the role
Forward Deployed AI Engineer — AI Strategy & Innovation team, Growth Marketing & Insights org
Your role
Adobe'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 candidate
Genuine 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
8+ 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
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 aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
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.
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 $133,100 -- $236,400 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 $163,200 - $236,400
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.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Compensation
This Machine Learning Engineer role pays $163k-$236k/yr. Within typical range for machine learning engineer roles in United States.
Questions about this role
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What's the typical salary for Machine Learning Engineer in United States?
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