Master the AI Product Sense Interview

This interview that didn’t exist 12 months ago is now the #1 reason candidates fail at OpenAI, Anthropic, and Google AI

There is not a single resource online about the AI product sense interview.

You’ll find plenty of regular product sense interview guides. But AI product sense specifically?

It literally doesn’t exist. That’s wild.

Because OpenAI, Anthropic, Google AI, and Meta AI are ALL asking AI product sense questions.

And what works for AI product sense is not the same as product sense.

This is a 45-minute case interview where they give you a specific AI product problem, and you need to speed-run through the entire product management process - but with AI-specific considerations layered throughout.

So you need a guide to it.

---

Want help landing your dream AI PM role? I’m running a cohort program at landpmjob.com starting Monday. Only 13 spots left.

---

The Mock Interview: ChatGPT Image Creation

To show you exactly what this looks like in practice, I did a live mock interview with fellow cohort instructor Dr. Bart Jaworski, who has helped over 12,000 PMs land jobs and was a PM at Microsoft AI:

The question: How would you increase weekly active users of ChatGPT image creation from 175M to 350M in 3 months with only 3 engineers?

This is the type of question OpenAI actually asks. It combines growth thinking, resource constraints, and AI-specific considerations into one messy, realistic problem.

Notice how the interview isn’t a monologue. It’s a discussion. I check in constantly, adjust my framework based on feedback, and demonstrate how I think through ambiguity in real-time.

---

What Makes AI Product Sense Different?

If you’ve read my complete guide to the product sense interview, you know the traditional format well. But AI product sense adds three critical layers that traditional product interviews don’t test.

Layer 1: Model Considerations

You’re not just thinking about features. You’re thinking about how the underlying AI model impacts what’s possible.

Should you work with the research team on model improvements, or focus on application-level changes? Can the model even support what you’re proposing, or are you designing for a capability that doesn’t exist yet?

Layer 2: AI Safety & Ethics

Every AI product decision has safety implications.

• How do you prevent misuse?

• What about bias (or debate about bias) in your outputs?

• How do you handle edge cases where AI could cause harm?

These aren’t nice-to-haves - they’re core to the product strategy at companies like Anthropic and OpenAI.

Layer 3: Unique AI Metrics

Traditional product metrics still matter, but AI products require new measurement approaches:

• How do you measure hallucination rates?

• What about model performance versus user satisfaction?

• How do you know if your AI feature is actually solving the problem it claims to solve?

---

Why This Interview Matters More Than Ever

Let me be blunt: The AI product sense interview is now more important than the technical interview at most top AI companies.

Here’s what’s changed:

• Google removed the technical interview entirely from their PM process

• OpenAI has made AI product sense a required round for all PM candidates

• Anthropic uses it to evaluate a candidate’s product thinking

The reason? Traditional product sense interviews test creativity, data acumen, and user understanding.

But they don’t test whether you can think strategically about AI capabilities, limitations, and implications.

Companies building AI products need PMs who can bridge the gap between cutting-edge research and real user needs. They need people who understand what’s possible with current models, what requires research breakthroughs, and how to build products that are both powerful and safe.

---

What You’ll Learn in the Deep Dive

The video above shows you the raw interview. But that’s just the starting point.

In the paid deep dive below, I break down exactly what made this interview successful - and more importantly, what separates candidates who pass from those who fail at companies like OpenAI and Anthropic.

You’ll get:

1. The key takeaways that made my example answer work

2. The 7 types of questions you might get

   + A framework implementation for each

   + Practice questions for each

3. My Custom GPT to help you practice

This is everything I coach candidates on when helping them land $500K+ offers at top AI companies. And it’s what you need to stand out in the hardest PM interview format that exists right now.