Forward-Deployed AI Engineer - Marketing Analytics & Data Science

Adobe•San Jose, CA

3d•$133,100 - $236,400

About The Position

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?

Requirements

8+ years of technical experience and 2+ years building and deploying AI applications
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

Nice To Haves

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

Responsibilities

Be embedded with a marketing team, working alongside them, learning their craft, and building tools and automations that transform the way they operate.
Rapidly prototype solutions and take immediate feedback to improve them.
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.
Work shoulder-to-shoulder with marketers across every function and measure success by whether the way someone works was improved.