Hands-On AI Engineer for Marketing Intelligence

Fdetimes

San Jose (CA)

On-site

USD 139,000 - 201,000

Full time

14 days+

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Job summary

Adobe's Growth Marketing & Insights (GMI) organization is rebuilding workflows with AI at the center. The Forward Deployed AI Engineer will embed with marketing analytics and data science teams, prototyping tools and automations that transform how they operate and measure impact.

You'll help scale playbooks, share assets, and drive rapid feedback to improve models and recommendations across growth channels and emerging platforms.

Qualifications

  • 5+ years of technical experience and 2+ years building and deploying AI applications.
  • Expertise in AI development platforms and tooling (e.g. GitHub Copilot, Claude Code, Codex, agent frameworks, API integrations, Azure, AWS, etc.).
  • Direct experience working with marketing analytics, product analytics, or consumer insights teams, with a clear understanding of how analytical questions are framed, data is prepared, models are built, insights are generated, and recommendations are operationalized.

Responsibilities

  • Prototype tools and automations that transform how marketing analytics workflows operate.
  • Partner with marketing analytics and data science teams to implement AI-driven capabilities.
  • Share work and help establish scalable playbooks and patterns across teams.
  • Coach and enable others, helping teams adopt AI-enabled workflows.

Skills

5+ years experience
2+ years AI apps
AI development platforms
Marketing analytics
Data pipelines & attribution
Python & SQL
Automation / agentic systems
Coaching others
Communication skills
Cross-functional collaboration

Tools

GitHub Copilot
Claude Code
Codex
Agent frameworks
API integrations
Azure
AWS
Adobe Experience Platform
Adobe Analytics

Job description

Adobe's Growth Marketing & Insights (GMI) organization is rebuilding workflows with AI at the center. The Forward Deployed AI Engineer will embed with marketing analytics and data science teams, prototyping tools and automations that transform how they operate and measure impact.

You'll help scale playbooks, share assets, and drive rapid feedback to improve models and recommendations across growth channels and emerging platforms.

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