Marketing Operations—the Engine of Modern AI Marketing
- Stephanie Wellek, Platform Operations - Enterprise Marketing at Adobe
- AI and Automation, Campaign Optimization, Content Strategy and Marketing, Customer Experience (CX), Data Management and Analytics, Digital Transformation, Lead Gen / Lead Mgmt, Managing Org Transformation, Martech Stacks, Multi-Channel Journeys, Other Martech, Platform and Data Integration, Sales and Marketing Orchestration, Strategy and Trends
Marketing Operations has quietly become one of the most critical functions in modern B2B marketing. As strategies grow more complex and technology stacks expand, success no longer depends solely on creative ideas or campaign concepts. It depends on how well platforms, data, and processes work together behind the scenes.
At the center of this shift is platform operations: the discipline responsible for making marketing technology usable, scalable, and effective. It is where strategy meets execution—and where ambitious marketing AI visions become reality or stall.
The Martechify team reached out to Stephanie Wellek, a Platform Operations leader at Adobe, to learn more about Adobe’s ecosystem and to ask for practical advice on how marketers can thrive in the new AI reality.
At the center of this shift is platform operations: the discipline responsible for making marketing technology usable, scalable, and effective. It is where strategy meets execution—and where ambitious marketing AI visions become reality or stall.
The Martechify team reached out to Stephanie Wellek, a Platform Operations leader at Adobe, to learn more about Adobe’s ecosystem and to ask for practical advice on how marketers can thrive in the new AI reality.
Check out the full interview with Stephanie Wellek, where she shares more about the Adobe ecosystem, how AI will revolutionize email marketing, and the kinds of companies that will be the first to innovate with AI.
An unexpected route to marketing
Stephanie didn’t begin her career in marketing. She studied environmental engineering and landed her first job doing field work at gas stations—bailing water out of underground monitoring wells while wearing a hard hat and steel-toed boots. It was honest work, but it came with a realization: There was limited career mobility and little long-term growth.
Around that same time, early marketing automation platforms like Eloqua and Marketo were beginning to take shape. Seeing where the industry was headed, Stephanie made a decisive move. She left everything behind, relocated to the Bay Area, joined startups, and taught herself Marketo from scratch. That hands-on experience eventually led her to Marketo itself, where she joined the professional services team, helping customers stretch the platform beyond its out-of-the-box capabilities and solve complex, real-world marketing challenges.
That foundation—equal parts technical problem-solving and practical marketing execution—set the stage for her next chapter. Today at Adobe, Stephanie works in Platform Operations for Enterprise Marketing, where she helps connect and operationalize Adobe’s broader ecosystem, including Marketo, Adobe Journey Optimizer B2B Edition, CDP, and Adobe Experience Platform, translating marketing strategy into scalable execution across some of the company’s most sophisticated programs.
Around that same time, early marketing automation platforms like Eloqua and Marketo were beginning to take shape. Seeing where the industry was headed, Stephanie made a decisive move. She left everything behind, relocated to the Bay Area, joined startups, and taught herself Marketo from scratch. That hands-on experience eventually led her to Marketo itself, where she joined the professional services team, helping customers stretch the platform beyond its out-of-the-box capabilities and solve complex, real-world marketing challenges.
That foundation—equal parts technical problem-solving and practical marketing execution—set the stage for her next chapter. Today at Adobe, Stephanie works in Platform Operations for Enterprise Marketing, where she helps connect and operationalize Adobe’s broader ecosystem, including Marketo, Adobe Journey Optimizer B2B Edition, CDP, and Adobe Experience Platform, translating marketing strategy into scalable execution across some of the company’s most sophisticated programs.
Adobe’s ecosystem as a connected platform
Adobe’s marketing ecosystem might reflect where the industry is heading: away from standalone tools and toward deeply connected platforms.
Marketo, Adobe Experience Platform (AEP), Real-Time CDP, and Adobe Journey Optimizer B2B Edition deliver the most business value when they operate as a system. Data captured in one place informs decisions everywhere else. Behavioral signals can trigger journeys in near real time. Audience insights can be activated across channels without constant manual workarounds.
From a platform operations perspective, the real challenge is orchestration. Implementing tools individually is table stakes. The real impact comes from understanding how they are connected, why they are designed that way and how to use those connections to support marketing strategy.
In large enterprises, this kind of impact doesn’t happen overnight. It requires patience, deep systems knowledge, and time spent learning the nuances of how platforms interact. “You can’t shortcut understanding a marketing system,” Stephanie says. “Once you really understand how and why the platforms are connected, that’s when you can influence outcomes. This has never been truer than today when AI is reliant on good data that stretches across systems.”
Marketo, Adobe Experience Platform (AEP), Real-Time CDP, and Adobe Journey Optimizer B2B Edition deliver the most business value when they operate as a system. Data captured in one place informs decisions everywhere else. Behavioral signals can trigger journeys in near real time. Audience insights can be activated across channels without constant manual workarounds.
From a platform operations perspective, the real challenge is orchestration. Implementing tools individually is table stakes. The real impact comes from understanding how they are connected, why they are designed that way and how to use those connections to support marketing strategy.
In large enterprises, this kind of impact doesn’t happen overnight. It requires patience, deep systems knowledge, and time spent learning the nuances of how platforms interact. “You can’t shortcut understanding a marketing system,” Stephanie says. “Once you really understand how and why the platforms are connected, that’s when you can influence outcomes. This has never been truer than today when AI is reliant on good data that stretches across systems.”
AI is redefining marketing operations
At Adobe, Stephanie is focusing on change. “Everything we understood about marketing systems is up for discussion now due to AI.”
Few changes have disrupted marketing as quickly as generative AI. One of the fastest impacts to businesses was the decline in Google search web traffic. Search behavior is shifting rapidly as answers increasingly surface inside large language models rather than traditional search results. Brands are now competing not just for rankings and clicks, but for visibility inside AI-generated responses and tools like Adobe LLM Optimizer signal a broader operational shift.
“Discovery has fundamentally changed,” Stephanie notes. “Marketers need to know when their content is being overlooked by AI and what to do about it.”
It’s this transition within marketing operations that has kept the community on its toes. The theme of today’s operator is “adaptation through AI adoption” with the ability to pivot quickly, learn new tools, and understand the “why” deeper than ever before.
Few changes have disrupted marketing as quickly as generative AI. One of the fastest impacts to businesses was the decline in Google search web traffic. Search behavior is shifting rapidly as answers increasingly surface inside large language models rather than traditional search results. Brands are now competing not just for rankings and clicks, but for visibility inside AI-generated responses and tools like Adobe LLM Optimizer signal a broader operational shift.
“Discovery has fundamentally changed,” Stephanie notes. “Marketers need to know when their content is being overlooked by AI and what to do about it.”
It’s this transition within marketing operations that has kept the community on its toes. The theme of today’s operator is “adaptation through AI adoption” with the ability to pivot quickly, learn new tools, and understand the “why” deeper than ever before.
An email renaissance
When discussing the future of marketing operations with Stephanie we wondered what her predictions might be. She focused immediately on email.
Email is often seen as a mature channel, but it may be entering one of its most transformative phases. Historically, personalization at scale was limited. Marketers relied on broad segments, fixed schedules, and educated guesses. Today, AI changes that dynamic entirely.
With sufficient historical engagement data—opens, clicks, site visits—AI can determine the optimal day and time to send emails for each individual. Instead of choosing a single send time for thousands of recipients, systems can deliver messages when each person is most likely to engage.
“All the data is there,” she says. “It’s system-generated, it’s accurate, and it’s perfect for AI. You can finally deliver emails at the exact moment someone is most likely to engage and you can do it at scale. It’s a great use case for marketers to test AI and feel its impact.”
Streaming data from CDPs makes this even more powerful, allowing journeys to respond to behavior from minutes ago rather than relying on outdated batch updates.
For marketing operations teams, this represents one of the most immediate and impactful applications of AI available today. As Stephanie notes, “I think email is about to get its glow-up. There is no other marketing channel that has been as cost-effective while also being left behind in innovation.”
Email is often seen as a mature channel, but it may be entering one of its most transformative phases. Historically, personalization at scale was limited. Marketers relied on broad segments, fixed schedules, and educated guesses. Today, AI changes that dynamic entirely.
With sufficient historical engagement data—opens, clicks, site visits—AI can determine the optimal day and time to send emails for each individual. Instead of choosing a single send time for thousands of recipients, systems can deliver messages when each person is most likely to engage.
“All the data is there,” she says. “It’s system-generated, it’s accurate, and it’s perfect for AI. You can finally deliver emails at the exact moment someone is most likely to engage and you can do it at scale. It’s a great use case for marketers to test AI and feel its impact.”
Streaming data from CDPs makes this even more powerful, allowing journeys to respond to behavior from minutes ago rather than relying on outdated batch updates.
For marketing operations teams, this represents one of the most immediate and impactful applications of AI available today. As Stephanie notes, “I think email is about to get its glow-up. There is no other marketing channel that has been as cost-effective while also being left behind in innovation.”
Who will move fastest on AI?
Despite the resources of large enterprises, they may not be the fastest to adopt AI-driven marketing. Enterprise data environments are massive, fragmented, and governed by complex processes. Smaller and mid-market companies often have cleaner data and greater agility, allowing them to experiment and move faster.
Early signals already suggest this pattern. Startups and mid-sized organizations are piloting AI-driven agents, personalization, and orchestration while many enterprises remain cautious.
“I’m watching startups and early mid-market companies,” she says. “They can move, test and learn faster. That’s where we’re going to see a lot of innovation first.”
Early signals already suggest this pattern. Startups and mid-sized organizations are piloting AI-driven agents, personalization, and orchestration while many enterprises remain cautious.
“I’m watching startups and early mid-market companies,” she says. “They can move, test and learn faster. That’s where we’re going to see a lot of innovation first.”
Looking ahead
Marketing Operations is no longer a background function. It’s the engine that powers modern marketing and with AI assisting in the execution, this role will become the most impactful to the bottom line.
For marketing leaders and operators willing to experiment, learn, and adapt, the opportunity ahead is significant. The role of marketing operations is expanding and its impact has never been greater.
For marketing leaders and operators willing to experiment, learn, and adapt, the opportunity ahead is significant. The role of marketing operations is expanding and its impact has never been greater.
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