Ticket Taker vs. Problem Solver: Be Irreplaceable | Darrell Alfonso

Jacqueline: This spring, commencement speakers across the country have been getting booed off stages for telling graduates that AI is the future — when it should be those graduates' future. Meanwhile, marketing ops teams are getting leaner, job listings are down, and people who built careers on technical fluency are starting to wonder if that's still enough.

Jacqueline: Darrell Alfonso has lived both sides of this, and today we find out if the optimism still holds. Welcome to Making Sense of Martech. I'm Jacqueline Friedman. "AI is transforming marketing, and the ops professionals who embrace it will thrive" — I've said that too. But it sounds great as a general rule of thumb, and it feels different after you've been laid off or made redundant because, quote unquote, of AI.

Jacqueline: Today we're fortunate to have a guest with the rare credibility of navigating this moment from the inside — both as a practitioner who championed AI adoption, and as someone who went through his own reckoning with the job market. We're going to pressure test the optimism, look at the numbers that make people uncomfortable, and figure out what people telling us not to worry are actually getting right — and what they're glossing over.

Jacqueline: Darrell is the marketing operations lead at the Pelham Group. Before that, he led marketing operations at two of the most data-intensive, operationally complex environments in tech — AWS and Indeed, which is a little ironic given the job market right now. He literally wrote the book on this field — it's called the Martech Handbook — and he's also the author of the Marketing Operations Leader newsletter. Welcome, Darrell.

Darrell: Thank you. I've gone through all of that. Yes, I am still optimistic — I'm like a forever optimist. Hot take: I actually think that a lot of the layoffs, especially at the beginning of the AI movement, were actually due to bad business practices and not really AI. A lot of the tech companies over-hired in the war for talent — they hired engineers and software developers with nothing for them to do. They hired them so competitors couldn't get them. So rather than admit the business model wasn't great, they blamed it on AI.

Jacqueline: Yeah — it's a good scapegoat. Let's dive in. Rapid fire — Amazon or Indeed: which one had the most absurd meeting culture?

Darrell: Amazon, with the 20-minute reading-in-silence memo meetings, for sure. What bothers me most is that you have to delete everything after the fact. Nothing can stay and be documented. I don't understand that philosophy.

Jacqueline: What was your first Martech tool?

Darrell: Constant Contact.

Jacqueline: Ooh, that's a good one. I'm still a fan — I think I like Mailchimp more, but it's a good gateway drug.

Jacqueline: You've written that most C-level executives don't distinguish AI from basic automation. Give me the most ridiculous AI claim you've heard from a leader — something that made you question whether to correct them or just let it be.

Darrell: I don't like the claim that AI is going to single-handedly make a company a billion-dollar business, especially from scale-ups. Most use cases right now are just internal efficiency use cases. And most companies' problem isn't efficiency — it's lack of direction, strategy, or bad leadership practices.

Jacqueline: Agreed. If you could delete one Martech vendor from the entire industry — which one and why?

Darrell: There are vendors that do a lot of customer bullying, where you have to use all of their products to get the most benefit — like Agent Force. I don't like that business model, and I think it's already led to several really bad decisions.

Jacqueline: You're not alone. Adam Greco calls it suite fatigue — why would one company want an entire suite when you could have best-of-breed tools that all work together?

Jacqueline: You wrote a job hunting survival guide based on your experience. What's a piece of advice that you wouldn't have deemed necessary two years ago but is essential today?

Darrell: Two years ago — especially four years ago — if you knew your stuff, had a good reputation, and a solid network, you'd be fine. A lot of the survival guide we did with Humans of Martech is essentially: be willing to do things you wouldn't normally do. Be willing to take a step down. Be willing to take a pay cut. Be willing to take a fractional job, because now is not a good time. As long as you have a paycheck and you're able to learn and exercise your skills — especially around AI — that's a win today.

Jacqueline: I'm in full agreement, and I never would have said that before. My instinct has always been: get the job you want, get the salary you deserve. That's still true — but it's not always the reality.

Darrell: Not at all. In the long run, you should focus on something you enjoy and that challenges you. But right now, people need to pay their bills.

Jacqueline: Getting back to the boos at commencement ceremonies — they've become their own story, spreading like wildfire. Graduates are pushing back in real time about "AI is your future" messaging. But most of us listening are already in the workforce. We can't boo the speaker in the same visceral way. We're trying to figure out what's actually true, what's fact, what's fiction, and how to work within it. How do you read this cultural moment?

Darrell: I think it's symbolic of what's happening between technology and business leadership as a whole. Business leaders — unless you're the head of OpenAI or Anthropic — actually don't really know what to do or what to expect from AI. Only recently has Claude become the number one choice for vibe coding or doing most work-related things. A year ago it was ChatGPT. The speed at which things are changing makes it impossible to anticipate what's going to happen. But leaders are continuing to pretend they do know. "AI is our future" — and they don't even know what that means. These commencement speeches are out of touch. Students need real inspiration for their futures, not some vague AI talk.

Jacqueline: Agreed. And the students already know AI better than the speakers do at this point.

Darrell: If anything — we know what it is, we use it daily. But we are also not replaceable at the same time.

Jacqueline: Most people in this industry are still trying to bridge the gap in leadership's understanding of AI versus automation. You think that confusion is actually dangerous — tell me why.

Darrell: We've had automation for a really long time — it's just workflows. If this, then that, daisy chained together. Now people think that's AI because they didn't have a good understanding of automation in the first place. So anything happening automatically is "AI." But AI is really a probabilistic large language model — or AI making decisions based on criteria and learning at the same time. They're very different things.

Darrell: Personally, I don't think it's worth dying on this hill, because leadership has already gone through the gates anyway. My advice: leverage the fact that everyone wants to use AI. People like you and me know this isn't really AI in a lot of cases — but if you show it to them and they think it is, you win.

Jacqueline: The World Economic Forum says 41% of employers plan to reduce headcount because of AI. I'd dare to say we're already at 85% among those who are reducing. And Anthropic's CEO said AI could eliminate half of all entry-level white collar jobs within five years. You came out of a layoff and immediately started writing about how marketing ops professionals can thrive. Are those two things in tension, or are you genuinely not worried?

Darrell: I have two minds. The first: my mission has always been to elevate the marketing operations professional, because I've always believed they're worth more and deserve more credit than they get. That hasn't changed. The really great operators are problem solvers — they use technology, people, process, and ingenuity to drive business results. I'll always carry that flag, even if it's just me.

Darrell: Having worked with a lot of tech and Martech professionals who weren't as passionate, I've seen how AI can replace some operations folks. There are people — and I'm not judging — who are just ticket takers or project managers. They take a request, build it in whatever tool, and return it back — glorified customer support. Those people are in danger of being replaced. The best of us aren't. And I'm hoping more of us become the best of us.

Jacqueline: It doesn't sound cheesy at all. Your interest and willingness to learn is what's going to set you apart. As long as you stay curious, the concept of your job is not going anywhere — maybe not that specific role at that company, but we need creative thinkers.

Darrell: I obviously didn't want to get laid off. It was a rocky time — our baby needed health insurance and that made it really important. I wasn't quite happy in the role; I didn't feel like I was making the impact I could have. As I use AI more and more in my job, I can't help but think there are other operators going: what am I doing? Maybe I should lay myself off. If anything, it gives people an opportunity to try something new — to go somewhere where they can actually make a difference. Looking back and coming out the other side, I wouldn't change what happened. I'm happy where I am.

Jacqueline: Wholeheartedly agree. Even though it might take longer than one would like, there's always a reason for that door to close. It just means a new one is opening.

Darrell: Right now it's just a time to be resilient and roll with the punches, because you're not alone. If you're worried, everyone is.

Jacqueline: One of the most beautiful things to come out of this pain is the communities popping up — in the MOPs and lifecycle space, the village Randy Levy has created, safer spaces where folks can make introductions, give critiques, or just talk to someone going through the same thing. Layoffs used to be a big red flag on someone's resume. When I was at Grammarly and hiring, we had to change the policy — it came to a point where layoffs are so common, it's clearly not the person.

Darrell: Seriously. You're lucky if you haven't been laid off at this point. And you're only particularly lucky if you got laid off and actually received a severance package.

Jacqueline: Most teams I talk to are inheriting a Frankenstack and a huge backlog — certainly not a blank slate. So what does "strategy first" mean when you're still mid-mess when you join a company?

Darrell: Two concepts really help here. One is working backwards — figure out what you're actually trying to accomplish. What does success look like in six months? An efficient lead management process? Data marketers can trust and activate on? A good sales handoff? Work backwards from that to build the technology and processes that support it.

Darrell: The other is quick wins — things you can accomplish together to build momentum. If you want to fix an entire marketing automation platform that's complete trash, that can take months. That drag becomes incredibly frustrating. What we overlook is how important it is to establish a good working relationship where people feel like when they work together, they win. Even setting up a new Jira intake process or a roadmap cadence builds trust. When people work together, they move really fast. And the opposite is equally true.

Jacqueline: There's nothing quite like a dream team where everyone has full trust and can see how the monotonous task ladders into the bigger picture. Some of my favorite days working were four-to-five hour working sessions — "this is monotonous, you take this half, I take that half, let's just get it done."

Jacqueline: I grabbed some lines from your newsletter. You've always pushed for accurate, clean, real-time data, and you kept hitting walls. Now you're saying the frame that finally opens doors is: "AI needs good data to function." That works because executives care about AI, so you get the budget. But is that slightly cynical — using their confusion to get budget for work that should have been funded regardless?

Darrell: Yeah, it's kind of cynical — a means to an end. You could take that cynicism much farther — fake AI goals, fake AI futuristic planning, all the way to what Wall Street is based on: potential, probability, and guessing. It's legal poker, and people cheat. Getting buy-in for data improvement is mild by comparison.

Darrell: But here's the thing: it's not wrong. You really do need good data. Executives, because they fear being left behind, are willing to take the pain of creating new budget. They want this so badly that now, finally, we have the opening. And I'm not ashamed of using it — it's not a lie. It's a sequential step toward achieving the goal.

Jacqueline: Are you going to let your AI SDRs loose on bad contact data? There are so many potential problems when you combine AI and poor data hygiene.

Darrell: Exactly. And that's precisely how I phrase it now.

Jacqueline: If AI is absorbing general routine execution — what does someone in an execution role actually look like in three years?

Darrell: A couple of ways this could go. On one hand, elevation to more strategic and technology orchestration roles. If you're building emails or websites for a living and a tool now does that automatically, you start connecting email to the revenue channel, connecting channels together, connecting it all to the website. Each level of abstraction you go up adds more value to the business.

Darrell: For some people — the ticket takers — their role will probably be repurposed or eliminated. We're already seeing that across industries. And then there's this vision I first heard from Paul Wilson: the future of marketing operations is just a prompt. We're starting to see that with MCP servers and how everyone's connecting everything to Claude Code, so they don't have to go into other platforms anymore. But you have to know what to ask first. And the number of times I look at something AI has outputted and — just from experience — I think: if you try to replace me with Claude, good luck.

Jacqueline: That is my favorite response. And in our roles, we typically have the keys to the kingdom — not because we want them, but because we have to from an administration standpoint. There's at least some solace when you're laid off and everything breaks because it was all connected through you.

Darrell: Seriously. I'm one of those people always looking for something to do, always trying to make things better. When I came back from parental leave — Indeed was great about that — I had set up the team to operate without me for months. When I came back, they'd done well. And I started to wonder: what am I going to do now? And I found things to do. But there are people in that same position who didn't look.

Jacqueline: That bloat exists everywhere — primarily at large, established enterprise companies, because it's easier to hide through silos and outdated processes. I know financial companies, particularly banks, that take three to six months to send one email.

Darrell: Yeah, it hurts my brain. I cannot compute that.

Jacqueline: Here's a data point I want you to sit with. MIT found that AI is only cheaper than humans in 23% of tasks. Uber's CTO blew through the entire company's AI budget for 2026 in four months — just on token costs. And Nvidia's VP of Applied Deep Learning says compute now costs his team more than the people using it. The pitch has been relentless about cost savings, but the reality is ballooning budgets. Is the economic case for AI replacement actually built on faulty math — and are humans, in many cases, cheaper?

Darrell: I wasn't aware that some teams are spending more on compute than on salaries — that's wild. I do think that might be true today, but I don't think it will be true long term. Technology typically becomes more efficient — think about the first computers taking up entire rooms. Electricity and compute costs will go down. But the danger right now is in trying to automate everyone's job with AI and just buying all the tokens in the world. That's a very real concern. And it's yet another proof point: don't lay off all your ops people just yet. You don't have a map to get where you want to go.

Jacqueline: Safe to say you're not a fan of a token leaderboard?

Darrell: No — it's the quality over quantity conversation. Why would you want quantity of tokens used per person, per day, over actual outcomes? AI should augment what we do so we're more productive. But leaders need to know when and when not to use it, or the token cost will eat them alive.

Jacqueline: You're right that the cost will come down like any other technology. Though I'll note — there are data centers going on fire right now, so maybe not immediately.

Darrell: When constraint and scarcity problems come up, people forget about discovery and innovation. We discovered that Nvidia's graphics chips support AI really well almost by accident. What will we discover next? Never discount human ingenuity.

Jacqueline: From your perspective, at what point does augmentation just mean we'll need fewer of you? Research shows 79% of employed women work in jobs at high risk of automation, compared to 58% of men — particularly relevant because marketing ops skews heavily female, and some of the best operators I know are women. Why is this not being discussed openly at industry conferences?

Darrell: I didn't know it skewed female. Why isn't it being discussed? Executives are less likely to be female, and they wouldn't necessarily bring it back to this issue. It comes down to, number one, sexism — and then the entire educational and cultural thing of directing women into certain roles based on stereotypes about women being more emotional than logical, which isn't true.

Darrell: I do have some experience with diversity issues in marketing. In most of the marketing ops teams I've been part of, everyone's been white. I don't think that's a coincidence. Marketing tends to lend itself to more classical type-casting. And if you don't intentionally think about it, you hire people who look like you. All of us — me included — need to push ourselves to work with and hire people who are very different, especially in terms of thought and approach. My co-host at Humans of Martech, Phil, is very much my opposite — very organized, wants a theme for each episode, whereas I'm more shoot-from-the-hip. Both skill sets are useful at different times.

Jacqueline: It makes me think about structural fixes — taking as much bias out of the hiring process as possible, building scorecards where you ask the same questions and define what a good answer looks like in advance. So you can see how someone thinks, how they get to a conclusion — more objectivity built into a very subjective process.

Jacqueline: I want to go back to the personal stakes. You've stated that AI won't replace marketing ops because most marketing and go-to-market problems are fundamentally people problems. But you also went through a layoff while writing and teaching this. Did the thesis hold up?

Darrell: One thing I learned throughout the process is how little control you actually have over larger market forces. Indeed makes money when companies post jobs and people apply. When the market goes up, that goes up. When it goes down, it goes down. Regardless of how many GTM improvements you make, you couldn't help that shift. Amazon was the same — so much depended on Black Friday and seasonality. That personally helped me with the layoff, because even if I was the best marketing ops person in the world, it still would have happened.

Darrell: What I continue to double down on is that there will always be a need for smart operators to solve problems. The nature of the problem is going to change. Whereas we used to spend so much time in HTML and CSS or duplicating databases, now the question is: how do we get everything connected to Claude Code? How do we enable marketers who are all using AI, while making sure they don't blast customers with 100 emails they can now create in two minutes? The job has changed, but the goal is still the same — marketing is there to create an amazing customer experience. And if marketing is the governor of the experience, operations is so important because we're the ones who actually make things happen.

Jacqueline: A great metaphor for this: aviation. Pilots are still doing the same job they were doing 100 years ago, but they're not doing every single thing manually. There's more monitoring, more radar. And pilots are in incredibly high demand precisely because they know how to fix it when things go wrong. That's where the operators who know what they're doing will succeed most. You don't go to a doctor hoping just for a great outcome — you go to one who knows how to fix it if something goes wrong. The cleanup is what differentiates good from great.

Darrell: And good operations is incredibly creative. You have a finite set of resources and often a really lean team to accomplish things that typically require millions of dollars — big migrations, understanding data — and we figure it out. You can do those things faster with AI, but curiosity and creativity aren't AI's core strengths. Unless you prompt it to be, you need a driver.

Jacqueline: That's why I love this industry — right brain and left brain. Creative with solutions, analytical and direct in execution. Okay, I want to push you on something. You've argued that marketing ops should evolve into the new COO of marketing, and that operational leadership is what future-proofs the role. But when tactical skills get automated, every ops professional's instinct is to claim the strategic high ground. What happens when the C-suite realizes they can get AI-generated strategic recommendations without the operational complexity that comes with them?

Darrell: When I think about the COO — think of Sheryl Sandberg at Facebook — that person's goal is to bring the CEO's mission to life. The CEO sets the vision with the board; the COO handles whatever comes up from a running-the-business standpoint. I've always thought the marketing ops leader should step into that role. It's a blend of overseeing the technology while also being a kind of chief of staff who understands what the marketing leader needs.

Darrell: Even at my current work, I'll see things stopping the entire team — like the fact that we're not using our project management tool correctly, everyone's using it differently, there's no alerting system, people are still emailing back and forth. You look at that and you know it's incredibly inefficient. It doesn't fall into the traditional realm of a Martech operator, but you can see how much fixing it will help. And the CMO is not going to do it. Operators should step out of their safe zones and get into things where: if we solve this problem — which increasingly is a people problem — things will move faster.

Darrell: And on execution: I was on a webinar with Zapier, who's leading in implementing AI throughout GTM. Most of the use cases were still internal efficiency. We're still at the stage of making things more efficient, not taking over full execution. Salespeople are still talking face to face with customers, closing deals, signing contracts. The actual revenue drivers of the business still have a human element. I think people conflate "execution" with internal admin work and PowerPoint making — but that's not what moves the needle for the business long term.

Jacqueline: I'm a big fan of separation of church and state — operations separate from marketing, where ops serves the marketers as their internal clients. And yes, we reach across aisles that aren't our domain. But it's thinking outside the box, and at large companies where people are protective, it takes real willingness to push for that.

Darrell: Agreed. The best CMOs these days were operators of some sort, and we need more of them. Without it, the CMO has the hardest job — most likely to get cut, most undervalued. But there's more rigor that comes into play when someone can speak to both business value and marketing value simultaneously.

Jacqueline: All right, this might be the hardest question. Everyone keeps talking about the golden age of marketing operations — we keep collectively telling ourselves a story that doesn't fully match the data. Do you think we're in a golden age, or on the precipice of something more?

Darrell: I'd love to think we are. If marketing operations could lead AI when it comes to GTM — which I was saying a couple of years ago — then it would be the golden age. I don't think that's happening. I think most teams are being force-fed AI by leaders afraid of missing out. I saw this joke where someone spent an entire weekend vibe coding an app so people could schedule a meeting with them — when they could have just used Calendly.

Darrell: It's definitely not the golden age for marketing ops, because a lot of our jobs are being absorbed by AI. I downloaded my entire US database and put it into Copilot and had it do full consulting-style data recommendations. The insights it pulled out were better and faster than what I could have done. That's both impressive and sobering. Instead of a golden age, I think we're at a tipping point. I'm not afraid for myself or for the colleagues I know who are smart and always curious. But I am worried for operators who are just ticket takers, just button pushers.

Jacqueline: I don't think we're in a golden age either. I think we're in an enlightenment era — more is being revealed than ever before. We're learning so much more, and it'll be interesting to see how it plays out. Either way, like we started with — the students booing about AI aren't wrong. It's also not great. It's both. We have to figure out where and when to use it, and where it's actually creating technical and financial debt.

Darrell: It always goes back to: if you're shooting bullets in the dark not knowing where your target is, shooting faster isn't going to help. Quality over quantity. What might be interesting: now that a lot of the technical and execution aspects will be automated, the case can be made that the most strategic and most creative are going to win.

Jacqueline: What do you know now — after all your work experience, and particularly the layoff — that you wish someone had told you before it happened?

Darrell: It's not personal. There are bigger factors happening. If you believe everything happens for a reason, this is part of it. There's going to be a lot of personal growth you wouldn't want to go back on.

Darrell: And reach out for help — not just for a job referral, but for yourself. There was a Harvard study of students going through their hardest year. The people who isolated themselves in the library didn't perform as well as the people who formed study groups and talked things through. When you're going through something, you actually have to reach out more. You might feel embarrassed or ashamed, but it helps you get through it faster. Lean on your network not just for jobs, but for support.

Jacqueline: And I'd add: if you think of your network as only a referral machine, you're thinking about it way wrong. Is it actually a network, or just professional connections on LinkedIn? Community is of the utmost importance — from Mike Rizzo's MOPs community to Email Geeks.

Jacqueline: Darrell, this has been exactly the kind of honest conversation our industry needs — not the shiny, sugarcoated version, but the one people are having in the hallway after the meeting. Your consistent work helping practitioners run their teams like businesses, reduce friction, and grow their careers lands differently when it comes from someone who has applied it to their own situation. You're practicing what you're preaching. Before I let you go — who is someone we should have on the podcast?

Darrell: My friend Maya James is a great revenue marketing leader. My friend Rosemary just got a job leading marketing operations at ServiceNow — awesome person, great conversation. And I'm excited to see what you do with this podcast in its next chapter. Great conversation, Jacqueline.

Jacqueline: Last but not least — where can folks find you?

Darrell: LinkedIn, and my Substack is called the Marketing Operations Leader.

Jacqueline: Thank you so much, Darrell. It's been a long time coming to finally have this conversation.

Darrell: Thanks, Jacqueline.

— End of interview —

Jacqueline: A couple of takeaways from that conversation. Most of the layoffs over the past few years are blamed on AI, but it's actually a cover for bad business and talent strategy — companies over-hired in the war for talent so competitors couldn't take those people. If you're job hunting right now, you're not competing against a machine. You're competing in a market shaped by years of really bad business decisions that are finally catching up. So it's not personal — even though it will without a doubt personally impact you.

Jacqueline: There are two tiers of marketing ops professionals right now: ticket takers who fulfill requests, and problem solvers who use technology, people, and process to drive outcomes. The job you need to be doing today is making sure everyone knows which one you are. If you're looking to level up, Darrell's newsletter is a great place to start.

Jacqueline: Lastly, MIT found AI is only economically viable in a quarter of tasks — and with Uber's CTO burning through an entire 2026 AI budget in four months, the replacement narrative your leadership keeps selling you is built on math that won't hold up at scale. Not yet. Thank you for tuning in to Making Sense of Martech. See you next time. A special thank you to Christine Murtaugh, who edited this episode, and an extra special thank you to Jenna Carter for believing in this passion project. Stay curious.