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Group Manager, Forward Deployed AI Engineering
Adobe
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About this role
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.
What you bring 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.
Minimum requirements • 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
• Active user of AI tools and platforms in your own work!
Preferred qualifications • 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
About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience . 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 fo
Salary insight
The midpoint of this range ($256k) is about 28% above the median disclosed salary for San Francisco roles listed on ForgeApply ($201k across 6,700 jobs).
See full Machine Learning Engineer salary data for San Francisco →
Based on live postings with disclosed pay on ForgeApply; refreshed daily. Not an estimate of this employer's offer.
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