Adobe

Group Manager, Forward Deployed AI Engineering

$303,300 annuallyFull-time · San Francisco
✓ Verified live on the employer's own system · added 11 days ago
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Mid-level · 3+ yrs exp

Requirements

Experience: 3+ years

Skills & tools

MarketingMachine LearningManagementData AnalysisHiringCommunicationsCampaign ManagementRecruiting
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Full job description

Adobe's Growth Marketing & Insights (GMI) organization is rebuilding how marketing teams operate - not by layering AI tools on top of existing workflows, but by replacing them. The AI Strategy & Innovation (AISI) team is at the center of that work, and this Group Manager role exists to lead the people doing it.

You'll manage a team of 6-8 Forward-Deployed AI Engineers embedded across GMI's paid media, lifecycle marketing, data science, and marketing analytics functions. Your job is to make them effective! You'll identify the highest priority work, clear obstacles, raise the quality of what they build, connect the dots across functions, and ensure the patterns that work in one team spread to the others.

You're not the one building agents day-to-day. You're the one making sure the people who do have what they need to move fast and build things that stick.

You'll also be a key part of how AISI grows. You'll partner on hiring, develop the team's capabilities, and help establish the playbook for what good forward-deployed AI work looks like at Adobe.

Deep enough AI knowledge to lead a technical team. You don't need to be writing production agents, but you must speak the language fluently: agentic systems, RAG, LLM evaluation, tool orchestration. Your team will bring you real problems and you need to engage with them substantively, not just manage around the edges.

Comfortable in a growth marketing organization. You understand the ways in which marketing teams think, what they're measured on, and how to earn their trust. You've worked alongside marketers or in a marketing function and you know the difference between a tool that gets adopted and one that gets abandoned.

A strong communicator up and down the org. You can present to a VP without losing the substance, and you can give an FDE direct, useful feedback without demoralizing them. You move comfortably between both modes.

- 3+ years managing people in AI, data science, machine learning, or a closely related technical field

- Strong working knowledge of modern AI concepts: agentic systems, knowledge graphs, RAG, context window management, tool use, etc. sufficient to engage substantively with your team's work

- Experience with a marketing or marketing technology organization, with a genuine understanding of how various marketing functions operate

- Demonstrated ability to develop people, with evidence that engineers or analysts you've managed grew in capability and impact

- Strong presentation and communication skills, including experience translating technical AI concepts for VP-level or executive audiences

- Proven ability to coordinate across multiple functions and collaborators simultaneously

- Experience in a forward-deployed, embedded, or solutions engineering model where you had to earn trust quickly and deliver value in someone else's environment

- Background in building or scaling internal AI programs, centers of excellence, or enablement functions

- Familiarity with martech ecosystems: CDPs, marketing automation, analytics platforms, campaign management tools

- Experience partnering on recruiting and team-building, not just inheriting a team

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 $161,700 -- $303,300 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 $209,400 - $303,300

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