Tag Archives: AI

218: Tata Maytesyan: Build a marketing career that survives AI as a deep generalist

Tata breaks down why the best AI automation targets are the boring, repeatable tasks nobody talks about on LinkedIn, and why the specialist-to-generalist shift in marketing is already happening whether your org chart reflects it or not. She also gets direct about the 10,000-hour threshold for building genuine competence across domains, and the self-preservation fear she hears from leaders every week. More

217: How to interview a company before you take the job (The Martech job hunt survival guide, part 3)

Darrell shares a firsthand account of taking a job under financial pressure, ignoring red flags he recognized in the moment, and landing in a toxic environment within months. What follows is a structured set of interview questions across 6 categories, from leadership self-awareness to what happened to the last person in the role, designed to help you separate the job offer from the job reality.More

215: How to find hidden job opportunities (The Martech job hunt survival guide, part 1)

This episode is a guide for martech and marketing ops professionals navigating one of the toughest job markets in years. Phil and Darrell cover the tactical mechanics of finding roles most candidates never see. From the Ashby Google search hack to VC job boards, staffing firm pipelines, and stealth startup cold outreach, the counterintuitive moves are the most useful ones here.More

212: Tobias Konitzer: The Causal AI revolution and the boomerang effect in marketing decision science

Tobi challenged marketing’s fixation on prediction. He has built highly accurate LTV models, but accuracy alone does not move revenue. Marketing is intervention. Correlation shows patterns; causality tells you what happens when you pull a lever. That shift reshapes experimentation, explains why dynamic allocation can outperform static A B tests, and highlights how self learning systems can backfire or get stuck in local maxima.More

203: Jordan Resnick: How to distinguish fake traffic from real machine customers

Distinguishing fake traffic from real machine customers requires reading behavior. Jordan shows how AI-driven bots now scroll, click, and submit forms while inflating dashboards with activity that never converts. The signal lives in speed, sequencing, and follow-through. Teams that act protect the conversion point, block synthetic demand early, and report only after traffic earns trust.More