Episode Details

What’s up everyone, today we continue with part 2 of a 3 part series we’re calling The Martech Job Hunt Survival Guide. Part 2 is: How to stand out as a candidate with AI prep, portfolios and tools.

Summary: Phil and Darrell spent this episode breaking down what actually moves the needle when you’re searching for a role: building the portfolio that almost no marketing ops professional bothers to save, navigating the AI experience question, knowing when to take a contract role instead of holding out, and skipping the AI job-search tools that make you look like everyone else. The honest observations from Darrell’s own recent job search make this one worth listening to, including why the colleagues most reluctant to make a lateral move are still searching months later.

In this Episode…

• (00:00) - Intro
• (01:01) - In This Episode
• (01:30) - Sponsor: Mammoth Growth
• (02:36) - Sponsor: GrowthLoop
• (05:24) - Why Hiring Managers Can't Actually Evaluate Your AI Experience
• (08:26) - How to Build a Marketing Ops Portfolio When Your Work Is Buried in Tools
• (17:56) - Why Creating LinkedIn Content Works Even When Nobody Is Watching
• (25:32) - What Hiring Managers Notice First on Your LinkedIn Profile
• (30:10) - Sponsor: Knak
• (31:13) - Sponsor: MoEngage
• (34:13) - Why Contract Work Is a Strategic Move for Marketing Ops Job Seekers Right Now
• (44:02) - Which Job Search Tools Help and Which Ones Waste Your Time
• (56:18) - How a Video Introduction or Visual Resume Gets You Into the Next Round

Every marketing ops job posting in 2026 has the same line buried somewhere in the requirements: "proven experience delivering results with AI." Walk into any interview and within the first few minutes someone will ask you to describe what you've actually done with it. That question sounds reasonable until you realize the person asking usually has no idea what a good answer looks like.

Darrell came out of a recent job search with a clear read on this. The interview questions had shifted entirely. The old MarTech interview, the 1 that asks about your tool stack and campaign history, has been replaced. AI is now the primary filter. Companies want proof of results. But AI-driven marketing ops, as an actual practice, barely existed 3 years ago. Phil put the absurdity into 4 words: "5 years of AI experience." Everyone in hiring knows it's a joke. They're writing it anyway.

The talent pool has gotten harder at the same time. Amazon's most recent layoffs displaced over 10,000 people. Layoffs at Google and across the broader tech sector added more. You're competing against that cohort now, which means the undifferentiated application is in worse shape than it's ever been. Everything has to be sharper.

But the opening Darrell is pointing at is real. The hiring managers writing "proven AI experience required" often can't define what good AI usage looks like for a marketing ops role. They're expressing a priority while lacking any rubric to test it. When they ask the interview question, they're listening for someone who sounds like they know what they're talking about. Most candidates coming through don't. You feel it during prep, that uncomfortable awareness that you don't know exactly what they want from you. The honest truth is they don't either.

That gap is yours. Research what AI actually does in marketing ops workflows: lead scoring automation, campaign orchestration, data governance, intent signal processing. Build 1 small example if you have the time. Frame your existing work in terms of where AI would fit and how you'd measure it. Darrell's framing: you can position as a credible AI enthusiast with very little preparation, because the bar inside most marketing orgs is low and most candidates aren't clear