Forward-deployed AI Engineer - Marketing Analytics & Data Science

Adobe Adobe · Enterprise · San Jose, CA

This role focuses on embedding AI engineers within marketing teams to build tools and automations, transforming workflows with agentic AI at the center. The engineer will prototype solutions, gather feedback, and share learnings across the organization, measuring success by improved user workflows.

What you'd actually do

  1. embedded with a marketing team, working alongside them, learning their craft, and building tools and automations that transform the way they operate
  2. both a builder and a partner who can rapidly prototype solutions and take immediate feedback to improve them
  3. part of the connective tissue across the AISI team
  4. 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
  5. measure ourselves by this question: did we improve the way that someone works?

Skills

Required

  • 8+ years of technical experience
  • 2+ years building and deploying AI applications
  • analytical thinking
  • creative problem-solving
  • collaboration
  • Expertise in AI development platforms and tooling (e.g. Claude Code, Cursor, agent frameworks, API integrations, Azure, AWS, etc.)
  • Expertise in Python
  • Expertise in SQL
  • 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
  • Strong communication skills
  • 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 have

  • Direct experience working inside a marketing department or marketing operations function
  • Background in machine learning
  • building models for segmentation
  • building models for attribution
  • building models for clustering
  • building models for 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
  • Background in solutions engineering
  • client-facing technical roles where you had to earn trust quickly and deliver tangible value fast

What the JD emphasized

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

Other signals

  • building tools and automations that transform the way they operate
  • rapidly prototype solutions and take immediate feedback to improve them
  • building AI-powered tools, automations, or agentic systems that change how real work gets done