Your Next Big PM Role: Shape the Future of GenAI + Data Workflows at Adobe

I am hiring another Senior Product Manager to help redefine how AI and GenAI transform data engineering inside Adobe Experience Platform. This isn’t your typical PM role—this is your chance to build something foundational, visionary, and truly industry-shaping.

You may have seen a similar role I posted a few months ago. This one (along with the other one) goes further—with more ambition, more scope, and more impact.

🔗 Apply here

What’s this role really about?

Adobe launched 10 agents at Adobe Summit this year in March—and one of the most strategic among them is the Data Engineering Agent.

This role is about reinventing how data engineers work, leveraging AI/GenAI not to create LinkedIn-worthy demos, but to build AI-native workflows that actually solve real problems. You’ll be shaping the future of Adobe’s foundational data layer while bringing AI/GenAI into everyday data engineering tasks in ways that are trustworthy, valuable, and widely adopted.

Why Adobe? Why now?

AI and GenAI is commoditizing fast. The next wave of innovation will happen at the domain layer, where deep expertise and purpose-built solutions will separate leaders from laggards.

Adobe’s position in the marketing domain is unmatched—not just in breadth of users, but also the petabytes of data we manage for the world’s biggest brands. We’re the ideal launchpad for building transformative, domain-specific AI/GenAI products.

This is a once-in-a-decade platform moment. Come be part of it.

How does this role tie into Adobe’s broader strategy?

Adobe Experience Platform is at the heart of how Adobe powers personalization at scale for thousands of brands. With the rise of GenAI, Adobe is rethinking how humans interact with data, not just at the UI level, but deep inside workflows.

The Data Engineering Agent is a core pillar of this transformation. It touches everything: ingestion, modeling, governance, and activation. This is your chance to build foundational IP that will influence the entire Adobe ecosystem.

What kind of impact will I make in this role?

This role isn’t about building marginal features—it’s about defining a new category of AI-powered data workflows. You’ll work on Adobe’s AI Agents strategy, specifically shaping the Data Engineering Agent, which serves as a foundational layer for the rest of the platform.

You’ll be building real tools that data engineers trust and adopt—tools that rethink everything from schema discovery to pipeline creation to data governance, all through an AI-native lens.

What makes this different from other PM roles in AI or Data?

Let’s be honest—many PMs in AI/GenAI today are working on one of two extremes:

• Building flashy but disposable demos that never make it past a hackathon, or
• Working on narrow, isolated use cases that are far removed from how users actually get work done.

Even those at top AI/GenAI companies often fall into one of two camps:

• Tuning and squeezing marginal gains out of existing LLMs, or
• Building developer frameworks or infra layers that may never connect to a real customer need.

But the real value of AI/GenAI doesn’t live in the model—it lives in the application.

This role is different.

You won’t just be embedding AI/GenAI into Adobe’s Experience Platform—you’ll be doing it at the point where real data engineers do real work. That means building A/GenAI-native workflows that are:

• Trustworthy enough to be used in production,
• Reliable enough to support mission-critical operations, and
• Valuable enough that engineers choose to use them—again and again.

But here's the bigger picture: PMs on my team don’t stop at product specs.

They span the full lifecycle:

• Partnering on go-to-market and sales strategy,
• Leading real-world implementations with customers,
• Generating deep, use-case-driven requirements,
• Designing the experience,
• Working closely on technical tradeoffs,
• And owning launch, adoption, and iteration.

In short—you won’t just be shipping features. You’ll be reshaping entire workflows and defining how AI/GenAI gets operationalized at enterprise scale.

This is a GM role disguised as a PM title. If you're ready to think like a mini-CEO, this is where you belong.

Who will I work with day-to-day?

You’ll work closely with:

• Engineering leaders who’ve built large-scale data platforms.
• Applied data scientists and AI/GenAI experts who are pioneering agent-based experiences.
• Product managers across Experience Platform, Journey Optimizer, Customer Journey Analytics, and Real-Time CDP.

And yes—you’ll work directly with me, your hiring manager. I’m heavily involved in strategy and execution, and I invest deeply in the people I hire. If you’re ready to be challenged and supported in equal measure—we’ll get along great.

How is success measured in this role?

Success looks like:

• Shipping v2/v3/..../v100 of the Data Engineering Agent with real usage and business value.
• Driving adoption among real data engineers, not just showcasing demos.
• Creating a roadmap that balances quick wins with long-term platform impact.
• Being a respected thought partner to engineering and design.

I care about outcomes, not just outputs.

At the end of the day, I want to hear from data engineers in the real world—people you’ve never met—say that your work changed their quality of life by several magnitudes.

That’s what impact means here. It’s not about shipping features, checking the boxes of the product management process, or even short-term revenue lifts. Impact is about unlocking things real people couldn’t do before—and doing it at a 10X level, not just incremental improvements.

That’s the bar. And if you’re the kind of PM who’s energized by that challenge, I want to work with you.

Do I need to be an AI expert to apply?

No. But you must come prepared with:

• A strong grasp of AI/ML/GenAI concepts.
• A systems-thinking mindset for how data pipelines/systems work.
• Enough technical fluency to partner deeply with engineers and data scientists.

If you need to brush up your understanding, there are plenty of great resources out there—take the time to get up to speed. It’s worth it.

I’ll help you grow deeper into AI/GenAI/Data—but I need you to bring product leadership, problem-solving chops, and platform sensibility.

I’m not sure I’m “Adobe material.” Should I still apply?

Yes. And especially yes if you’re even asking that question.

Some of the best product managers I’ve hired almost didn’t apply. They doubted whether their background was “relevant enough,” “big tech enough,” or “AI/GenAI enough.” But what they did have was depth, drive, and the ability to build products that make a real difference.

If you’ve:

• Built customer-facing, core, platform, or foundational products before,
• Shipped AI, ML, GenAI or data-intensive tools that solve hard problems,
• Thrived in ambiguous, fast-moving, highly collaborative environments...

…then you might be exactly who I’m looking for.

Don’t self-filter. You don’t need to tick every box. What matters is your ability to learn fast, own problems end-to-end, and care deeply about impact.

So if the role excites you—apply. Let’s talk.

I’m looking for a career change. How can I apply?

If you're switching into product management from another path—yes, you can apply. But here’s what I’m really looking for:

Honesty. Effort. Evidence.

Be upfront in your pitch. Tell me what you've done to build real PM skills—whether that's leading a cross-functional initiative, launching a side project, building something end-to-end, or shadowing product teams and learning the craft deeply.

Changing careers is totally valid. But you still have to clear the interview bar, just like anyone else. That means:

• Showing strong product thinking and customer empathy,
• Communicating clearly and prioritizing well,
• Thinking in systems and understanding trade-offs,
• And being able to go deep where it matters—especially in data, platforms, or AI.

If you're doing the work to make this switch seriously, and can show me what you've built or how you've grown, I'm open to that. The bar is high, but not closed.

So apply—just bring your story, your work, and your readiness to own it.

Why should I come work for you?

Because working on my team doesn’t feel like “work.” It feels like a startup inside a big company—fast-paced, high-energy, collaborative, and yes, a little chaotic (in the best way). But always focused on real outcomes that matter.

It feels like something amazing is about to happen. And then it does.

What makes this team different is that my PMs don’t just write PRDs and manage backlogs—they operate like General Managers. They own the product end-to-end:

• From shaping the vision and roadmap
• To collaborating with sales and taking products to market
• To working directly with customers during implementation
• To making the hard trade-offs in design, engineering, and testing

You're not just launching features—you're building a business.

More seriously: I invest deeply in my team. I coach, push, and mentor—but I also listen, adapt, and create space for you to lead in your own style. This isn’t a place to just “do the job.” It’s a place to grow into the kind of product leader who can build and run anything.

My only ask? Bring your full self and your full game.

I answered the same question in my previous job post here

What’s the culture like on your team?

It’s high-intensity and high-fun. We move fast, but we build with intention. The culture here feels like a startup with the resources of a world-class company. On this team, people:

• Take full ownership—from vision to execution.
• Have each other’s backs, especially when things get hard.
• Get a lot of creative freedom—and use it well.
• Are expected to grow—and help others grow, too.

But here’s the real difference: I actively coach my PMs to be one step ahead of their peers at Google, Meta, and beyond.

Why? Because AI/GenAI and data aren’t just vertical domains—they’re horizontal by nature. To thrive at the application layer, you need to go deep into platforms, infrastructure, and real-world systems. I want you to understand not just how to build a feature, but how the whole stack works, and where the real leverage is.

I want you to become the kind of PM who is respected globally—someone who other product leaders look to as a benchmark.

If you're ready for that kind of growth, my team is the place.

What are you really looking for?

This is a deep, platform-level PM role—not a surface-level feature factory gig. I’m looking for someone who brings both substance and systems thinking to the table:

• 5+ years of product management experience, with a strong track record of shipping complex platform or data-centric products.
• A solid background in at least one of these areas: data engineering, AI/ML, BI, infrastructure, APIs, security, governance, databases, real-time systems, or other backend/platform domains.
• Someone who’s worked closely with engineering and understands what it takes to go from 0 → 1 → scale.
• A thinker who approaches problems like a system architect, and acts like a business owner.
• Comfortable in their own skin, collaborative, and thrives in ambiguous, fast-moving environments.

Bonus points if you have strong technical fundamentals (CS or engineering background), and/or business fluency (MBA or real-world GTM experience).

And let me be clear: I'm not looking for someone "picture perfect." No one checks every box. If you bring depth in a few areas and are eager to grow in others, that's exactly the kind of person I want to invest in. I can help you close the gaps. What matters is your curiosity, drive, and willingness to lead from day one.

If you’ve applied to Adobe before (including my previous roles), yes—apply again. Tailor your resume and show me what makes you the right fit for this one..

What is the interview process?

We keep it straightforward—but rigorous. Here's what to expect:

Step 1: Screening Calls: Conversations with our recruiter and me. We’ll explore your background, mindset, and how you think about product. We’re looking for depth, clarity, and signs that you’d thrive in our kind of environment.

Step 2: Panel Interviews You’ll meet with cross-functional partners—PMs, engineers, designers and even executivess. We'll go deep into your experience, how you collaborate, and how you approach complex product decisions. Expect some curveballs—we want to see how you think on your feet.

Step 3: Case Study Presentation An open-ended, real-world problem. You’ll walk us through how you'd approach it—strategy, tradeoffs, customer thinking, and product storytelling. This is your chance to show how you operate like a true product leader.

What does your screening interview look like?

It’s fun. Because I’m the interviewer. 😄

But also—it’s intense. I’ll throw curveballs. Not to trick you, but because real PM work is full of them. I want to know how you think on your feet. I want to see if I can coach you into a better version of yourself. And ideally, one day—you’ll surpass me. If that’s not possible, I haven’t done my job.

Here’s what I look for:

• Thoughtful product design instincts
• Depth in your domain
• Self-awareness of your own journey
• A data/AI question where we go deep into the user problem
• One tricky organizational scenario—where you had to make your boss (yes, me) look good… even though they were the one who created the mess.
• Original thinking that no PM/MBA book ever taught you

If you read the previous job posting, there are some materials available at the bottom of that post. Get some practice if you can.

Can I ping you on Linkedin?

Feel free to DM me a thoughtful pitch, but know this: If your resume isn’t in the system, I can’t screen you.

My time is better spent building and coaching—not scanning generic resumes or cold messages. So do the work. Tailor your resume to the role. Show me what makes you a fit.

If it clicks, we’ll talk. And maybe, you’ll join us to build something that changes the game.

🔗 Submit Your Application Here