What PM Hiring Managers Actually Screen For

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For this session, I sat down with three hiring managers at companies that are highly sought-after: Mckenzie Lock, GM at Netflix; Sam Stone, VP of Product at EvenUp; and Sarah Koo, Senior Director of Product at Rippling.

Most interview advice is written from the candidate’s perspective. How to prep, how to tell your story, how to follow up. This conversation is the view from the other side of the table. The three companies represent genuinely different models: Netflix’s debate-heavy, freedom-and-responsibility culture where hiring managers design their own loops; Rippling’s hyper-standardized process where VPs get the exact same case prompt as ICs; and EvenUp’s hypergrowth startup trying to double the product team in a year. Despite those differences, the convergence in what they’re looking for was striking. The questions going in:

“I’ve been told the PM interview is about frameworks and structure. Is that still true?”

“How much do referrals actually matter? Is it worth applying cold?”

“What’s the thing that quietly kills strong candidates? The mistake people don’t realize they’re making?”

The short answer: the playbook most candidates are running is two years out of date. AI has made the old signals (polished decks, crisp frameworks, rehearsed stories) table stakes at best and red flags at worst. Below are the top insights from the conversation. The full podcast goes deeper on case study mechanics and how AI is reshaping the bar in real time.

The PM Role Has Shifted: From Picking the One Thing to Expanding What’s Possible

“What’s the single most important thing you’re evaluating in a PM interview right now?”

The old PM job was about choosing. The new PM job is about expanding what can be achieved.

For years, the core of product management was selection: here are ten things we could build, here’s why we should do these three, here’s how I’d sequence them given the team we have. The best PMs were the best editors. They could navigate tradeoffs, explain constraints, manage incoming requests, and know when to compromise. That entire skillset, the tradeoff-navigator archetype, is being displaced.

Sam (EvenUp) put it directly: the expectation now is “I’m going to figure out how to have our cake and eat it too.” The default assumption should be that you can do all five things until proven otherwise, not that you need to pick two. Sarah (Rippling) described the same shift. One of Rippling’s leadership principles is “pushing the limits of possible,” and it’s the one they screen for most aggressively in PM interviews. Mckenzie (Netflix) used different language but landed in the same place: “manifesting impact” and “driving momentum” are what her team spends the most time evaluating.

AI is a big part of why. When your team can ship more, prototype faster, and run more experiments in parallel, the bottleneck is no longer “what should we build next?” It’s “how do we drive progress across a broader strategy at once?” The PM who can see how five workstreams connect, keep them all moving, and know which ones are paying off is more valuable than the PM who picks the single best thing to focus on. All three companies are screening for this: not whether you can choose well, but whether you can expand what the team is capable of delivering.