Plotting the end of traditional departmental silos as AI reshapes marketing orgs

Jun 29, 2025

Paramark News Desk

Credit: Cottonbro studio

Key Points

  • AI is driving a fundamental restructuring of marketing departments, with companies now moving towards agile, cross-functional teams.

  • Human-held knowledge and documentation are crucial for operations as AI takes on more tasks independently.

  • Proficiency in AI prompt engineering is becoming an essential skill for marketers, and operations teams must focus on strategic enablement to help marketers leverage AI effectively.


Being a good AI prompt engineer is going to become a hard skill that I think most people are going to need. For a minute, there was an idea that that would become a whole function. But in order for people to use everything effectively, each individual is really going to have to skill up on how you create a good prompt and how you push to continue to refine it.

Alex Long

Senior Manager Marketing Operations
,
AlphaSense

In the marketing world's mad dash to bolt AI onto every tool, the focus has been on efficiency. But the real story—and the bigger disruption—isn't what AI is doing to tasks, but what it's doing to teams. The marketing department as we know it may be the first casualty.

Alex Long, a leader with a no-nonsense approach to marketing operations, has a unique perspective on the real impact of AI. Her experience revamping complex systems at companies like Korn Ferry, and now as a Senior Manager Marketing Operations at AlphaSense, suggests the biggest changes aren't coming for our tech stacks, but for something far more fundamental.

"The biggest initial impact may be a complete restructuring of how we align our teams organizationally," Long says. "We're moving into a position where we'll see a lot more editing happening, as opposed to pure creation. You may not need multiple copywriters for everything anymore because your Joe Schmo in Demand Gen now has access to ChatGPT and can spin something up."

Pod people: Long predicts this change will dismantle traditional, functionally-siloed marketing departments where demand gen, product marketing, and content operate in separate lanes. In their place, she envisions more agile, cross-functional "pod structures," similar to how many sales and engineering organizations are aligned. "You have your more senior people, you have your more junior people, and this whole group works together regularly," she explains. "It’s a fundamental change to how we align projects and campaigns."

Tribal knowledge: Counterintuitively, Long believes that as AI automates more work, the need for human-held institutional knowledge becomes more important, not less. Without a clear record of the "why" behind a system's design, teams risk letting an AI optimize itself into breaking something critical. "When you start letting AI take over, it’s going to require more tribal knowledge, or at least really good documentation of it," she warns. "You have to know what the original parameters set on the AI were and, more importantly, why we set them. Was it an abundance of caution or for a specific reason?"

The biggest initial impact may be a complete restructuring of how we align our teams organizationally. We're moving into a position where we'll see a lot more editing happening, as opposed to pure creation. You may not need multiple copywriters for everything anymore because your Joe Schmo in Demand Gen now has access to ChatGPT and can spin something up.

Alex Long

Senior Manager Marketing Operations
,
AlphaSense

Enablement engine: Operations teams must guide this transition, and their mission now shifts from technical maintenance to strategic enablement. She's quick to ground the conversation in reality, noting that while the current boom is generative, machine learning has been a staple in the martech stack for nearly a decade. For Long, the core job remains the same: "My job is to make it so that marketers can do marketing and the tech doesn't weigh them down."

But with AI, fulfilling that mission now requires a new level of support. "That enablement, that connecting of resources, I think is becoming all the more important a part of the role of operations, because we're the ones who have the deep understanding of the tools."

Fighting fire with fire: The first challenge for those operations teams is managing the noise created by a flood of new AI tools. Long acknowledges that this will likely worsen the existing problem of "alert fatigue," but she foresees a second wave of AI that will solve the very problem the first wave created. "If you have 12 different things sending you alerts 10 times a day, you're just going to start to ignore things," she says. "But if you're getting a once-daily or even a weekly digest of all the things, then that makes it much more workable because then you can look at it and prioritize, and even have something that can run predictive analytics on what's going to be most effective."

The new Excel: If every marketer is empowered to be a creator, then the new currency becomes effectively guiding AI to its best output. Long dismisses the idea of "prompt engineer" as a niche, standalone job title, instead framing it as a universal competency. "Being a good AI prompt engineer is going to become a hard skill that I think most people are going to need," she says. "For a minute, there was an idea that that would become a whole function. But in order for people to use everything effectively, each individual is really going to have to skill up on how you create a good prompt and how you push to continue to refine it."

Plotting the end of traditional departmental silos as AI reshapes marketing orgs

Jun 29, 2025

Paramark News Desk

Credit: Cottonbro studio

Key Points

  • AI is driving a fundamental restructuring of marketing departments, with companies now moving towards agile, cross-functional teams.

  • Human-held knowledge and documentation are crucial for operations as AI takes on more tasks independently.

  • Proficiency in AI prompt engineering is becoming an essential skill for marketers, and operations teams must focus on strategic enablement to help marketers leverage AI effectively.


Being a good AI prompt engineer is going to become a hard skill that I think most people are going to need. For a minute, there was an idea that that would become a whole function. But in order for people to use everything effectively, each individual is really going to have to skill up on how you create a good prompt and how you push to continue to refine it.

Alex Long

Senior Manager Marketing Operations
,
AlphaSense

In the marketing world's mad dash to bolt AI onto every tool, the focus has been on efficiency. But the real story—and the bigger disruption—isn't what AI is doing to tasks, but what it's doing to teams. The marketing department as we know it may be the first casualty.

Alex Long, a leader with a no-nonsense approach to marketing operations, has a unique perspective on the real impact of AI. Her experience revamping complex systems at companies like Korn Ferry, and now as a Senior Manager Marketing Operations at AlphaSense, suggests the biggest changes aren't coming for our tech stacks, but for something far more fundamental.

"The biggest initial impact may be a complete restructuring of how we align our teams organizationally," Long says. "We're moving into a position where we'll see a lot more editing happening, as opposed to pure creation. You may not need multiple copywriters for everything anymore because your Joe Schmo in Demand Gen now has access to ChatGPT and can spin something up."

Pod people: Long predicts this change will dismantle traditional, functionally-siloed marketing departments where demand gen, product marketing, and content operate in separate lanes. In their place, she envisions more agile, cross-functional "pod structures," similar to how many sales and engineering organizations are aligned. "You have your more senior people, you have your more junior people, and this whole group works together regularly," she explains. "It’s a fundamental change to how we align projects and campaigns."

Tribal knowledge: Counterintuitively, Long believes that as AI automates more work, the need for human-held institutional knowledge becomes more important, not less. Without a clear record of the "why" behind a system's design, teams risk letting an AI optimize itself into breaking something critical. "When you start letting AI take over, it’s going to require more tribal knowledge, or at least really good documentation of it," she warns. "You have to know what the original parameters set on the AI were and, more importantly, why we set them. Was it an abundance of caution or for a specific reason?"

The biggest initial impact may be a complete restructuring of how we align our teams organizationally. We're moving into a position where we'll see a lot more editing happening, as opposed to pure creation. You may not need multiple copywriters for everything anymore because your Joe Schmo in Demand Gen now has access to ChatGPT and can spin something up.

Alex Long

Senior Manager Marketing Operations
,
AlphaSense

Enablement engine: Operations teams must guide this transition, and their mission now shifts from technical maintenance to strategic enablement. She's quick to ground the conversation in reality, noting that while the current boom is generative, machine learning has been a staple in the martech stack for nearly a decade. For Long, the core job remains the same: "My job is to make it so that marketers can do marketing and the tech doesn't weigh them down."

But with AI, fulfilling that mission now requires a new level of support. "That enablement, that connecting of resources, I think is becoming all the more important a part of the role of operations, because we're the ones who have the deep understanding of the tools."

Fighting fire with fire: The first challenge for those operations teams is managing the noise created by a flood of new AI tools. Long acknowledges that this will likely worsen the existing problem of "alert fatigue," but she foresees a second wave of AI that will solve the very problem the first wave created. "If you have 12 different things sending you alerts 10 times a day, you're just going to start to ignore things," she says. "But if you're getting a once-daily or even a weekly digest of all the things, then that makes it much more workable because then you can look at it and prioritize, and even have something that can run predictive analytics on what's going to be most effective."

The new Excel: If every marketer is empowered to be a creator, then the new currency becomes effectively guiding AI to its best output. Long dismisses the idea of "prompt engineer" as a niche, standalone job title, instead framing it as a universal competency. "Being a good AI prompt engineer is going to become a hard skill that I think most people are going to need," she says. "For a minute, there was an idea that that would become a whole function. But in order for people to use everything effectively, each individual is really going to have to skill up on how you create a good prompt and how you push to continue to refine it."