Forward Deployed AI Engineer, Marketing Intelligence & Consumer Insights

Adobe

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Jose, CASeattle, WASan Francisco, CA
Salary
$109,000–$200,700 / yr
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $202k
This role $155k
$93k $259k
below market most similar roles pay here above market

This role pays less than 77% of similar roles. Most pay $161,287–$243,000 — the blue band above. At the midpoint, this role pays about $155k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 279 open roles on FindRole.

Listed pay typically runs $148,100–$277,400 across 89 roles with salary data.

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At a glance

TL;DR · Forward Deployed AI Engineer, Marketing Intelligence & Consumer Insights

Role Posting Log in to save

The Forward Deployed AI Engineer, Marketing Intelligence & Consumer Insights joins the AI Strategy & Innovation team to reinvent marketing workflows using agentic AI. You will be embedded with marketing analytics and data science teams to build tools, automations, and agentic systems that transform operational processes. Responsibilities include rapidly prototyping solutions, establishing scalable playbooks, and synthesizing performance data into holistic channel strategies. You must possess deep knowledge of market dynamics, consumer behaviors, and marketing analytics, including measurement strategy and forecasting. Required technical skills include Python, SQL, and experience with AI development platforms like GitHub Copilot, Claude Code, Codex, and agent frameworks across Azure and AWS. You will solve complex problems by connecting qualitative insights with data science models to improve how marketing teams generate and operationalize actionable business recommendations.

Skills

Python SQL AI LLM Agentic AI AWS Azure API GitHub Copilot Claude Code Codex Adobe Experience Platform Adobe Analytics GenStudio Adobe Journey Optimizer Workfront Data Pipelines Customer Data Platforms Marketing Analytics Product Analytics

What you'll do

  • Build and deploy agentic AI tools and automations to transform marketing analytics and data science workflows.
  • Rapidly prototype AI solutions and incorporate immediate feedback to improve performance.
  • Establish playbooks and patterns to scale successful AI innovations across the Growth Marketing & Insights organization.
  • Synthesize performance data from search, social, and emerging platforms into holistic channel strategies.
  • Translate complex technical AI concepts into accessible information for non-technical marketing audiences.
  • Coach and enable team members to adopt new AI behaviors and tools.
  • Integrate marketing data ecosystems and APIs into custom internal tooling.

What we're looking for

  • 5+ years of technical experience and 2+ years of experience building and deploying AI applications.
  • Expertise in AI development platforms and tooling including GitHub Copilot, Claude Code, Codex, agent frameworks, and API integrations.
  • Experience working with marketing analytics, product analytics, or consumer insights teams to frame questions and operationalize recommendations.
  • Expertise in Python, SQL, and at least one other common programming language.
  • Hands-on experience building AI-powered tools, automations, or agentic systems to improve workflows.
  • Strong communication skills to make technical ideas accessible to non-technical audiences and the ability to manage multiple workstreams.
  • Proven experience building AI tools specifically for marketing analytics and consumer insights workflows (preferred).
  • Fluency with modern marketing data ecosystems, analytics platforms, and familiarity with Adobe's marketing technology ecosystem (preferred).

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