Jeff Gillis is the co-founder and Chief Technical Officer of The Interview Guys, the career-advice site he and Mike Simpson launched in 2013. Over the last 13 years, Jeff has been the strategic mind behind how the site connects with job seekers, helping reach more than 100 million people worldwide through content, tools, and product development.
His background is in IT and digital strategy, which shapes how he approaches the modern job search: ATS systems, resume optimization, the mechanics of how recruiters and platforms actually filter candidates, and the tactics that work when applying through online portals. Jeff has published more than 50 in-depth career resources including case studies, comprehensive guides, and video courses, and his work has appeared in INC, MSN, and ZDNet.
Articles credited to Jeff on The Interview Guys are reviewed and edited by him personally, with a focus on resume strategy, job-search tactics, and how to actually get past the digital gatekeepers most candidates struggle with.
You’ve got a shipping clerk interview lined up. Maybe it’s with a small manufacturer. Maybe it’s a major distribution center. Either way, you’re probably wondering what they’re actually going to ask you and whether your answers will hold up under pressure. Good news: shipping clerk interviews follow a pretty predictable pattern once you know what…
There’s a specific moment hiring managers dread when reviewing resumes for database roles: seeing “SQL” listed as a skill with zero evidence of what that actually means. Can this person write a stored procedure? Optimize a slow query? Design a normalized schema from scratch? Or did they just run a SELECT statement once in a…
If you’ve started chasing a career in machine learning or data science and hit a wall somewhere around “why does gradient descent work?” or “what is an eigenvector actually doing?” — you’re not alone. This is the specialization designed specifically for that moment. The Mathematics for Machine Learning and Data Science Specialization is a 3-course…
The short answer is yes. But the longer answer is more interesting, and more useful. Cursor autocompletes your functions before you finish typing. Claude Code rewrites entire modules on command. GitHub Copilot has been trained on more code than any human will ever read. Devin runs autonomously, files its own pull requests, and fixes its…
So you’ve got an AI Solutions Architect interview coming up. That’s a big deal. This role sits at one of the most competitive intersections in tech right now: deep ML knowledge, cloud architecture expertise, stakeholder management, and the ability to translate complex systems into business outcomes. Companies aren’t just looking for someone who can build…
You’ve done everything right. You tailored your resume. You matched the keywords. You submitted within hours of the job posting going live. And still, silence. If this sounds familiar, you might not be dealing with a standard ATS rejection. You could be caught in something more frustrating: the AI rejection loop, where multiple layers of…
RAG engineering is one of the fastest-growing specializations in tech right now, and the interview process reflects just how seriously companies are taking it. These aren’t the generic “tell me about your Python experience” conversations. Hiring managers for RAG roles want to see that you can reason through real system failures, make smart tradeoffs under…
The Office Is Full on Tuesday. A Ghost Town on Friday. Walk into almost any corporate office on a Tuesday and you’ll find desks occupied, coffee machines running hot, and meeting rooms that are genuinely hard to book. Walk in on a Friday and you might wonder if someone forgot to tell everyone the building…
If you’re preparing for a respiratory therapist interview, you already know this isn’t a role where you walk in and wing it. Hiring managers at hospitals, pulmonary clinics, and long-term care facilities are looking for someone they’d trust in an ICU at 2am when a patient is decompensating fast. The stakes are high, and they…
Getting an MLOps engineer interview is a big deal. The field is competitive, the pay is strong (median salaries for senior MLOps roles frequently exceed $160,000), and companies are desperate for people who can actually bridge the gap between data science and production engineering. The problem is that most interview prep resources treat MLOps like…
