We work with edtech businesses every day who are trying to build teams that can not only keep up with AI innovation, but use it thoughtfully to drive real results.

When it comes to product managers, this is harder than it looks.

AI in product management is still new. Many candidates have only surface-level understanding. Others are locked into traditional ways of thinking, even as AI reshapes how education products are designed, built, and scaled.

In edtech, the challenge is even sharper. You need product managers who understand two things at once:

• How to implement AI in a way that genuinely helps users — leaders, teachers, business managers and learners.

• How to use AI inside their own processes to make better product decisions, scale faster, and create stronger business outcomes.

Finding that combination is rare, but it’s absolutely necessary if your business wants to stay competitive.

Here’s how we recommend approaching it, including 10 questions you should be asking when you hire.

Why “AI-Driven” Means More Than Adding Features

A true AI-driven product manager doesn’t just throw AI capabilities into an existing roadmap.

They rethink the problem and they use AI to create better outcomes, not just shinier functionality.

They also apply AI inside their teams and their own workflows, automating what’s repeatable, speeding up insight generation, and freeing up time for strategic thinking.

The strongest AI-driven PMs understand that AI is a tool to serve user needs, not a magic trick to boost product demos.

10 Questions to Find a True AI-Driven Product Manager

These questions will quickly separate candidates who genuinely understand AI’s role from those who simply know how to talk about it.

1. How have you applied AI to directly improve product outcomes or revenue growth?

Look for specific examples that tie AI to measurable business or user impact, not vague claims about “innovation.”

2. What’s the most impactful AI-driven product feature or capability you’ve launched?

Can they walk you through a real project, from idea to launch to results?

3. How are you using AI to personalise user experiences at scale?

This is particularly important in edtech, where different schools, staff, and learners have varied needs.

4. How do you balance AI-driven automation with maintaining user trust and control?

Listen for candidates who think about explainability, transparency, and consent – critical for school users.

5. AI is moving fast. What’s your process for vetting, testing, and integrating new AI technologies?

Strong PMs have a framework for assessing AI opportunities based on user and business needs, not hype.

6. How have you used AI or automation to improve your own product management workflows?

Whether for analysing research data, prioritising backlogs, or streamlining roadmapping, AI should make their work better too.

7. What’s your approach to aligning product, engineering, sales, and customer success when delivering AI-driven features?

AI impacts the whole go-to-market chain. Great PMs understand the communication and cross-functional collaboration it requires.

8. What AI-driven insights have fundamentally changed a product decision you made?

Look for humility and learning; they should be able to name a moment when data changed their approach.

9. Where do you believe human judgement should still lead in product development, even with AI available?

True product leaders know the limits of automation and value human insight where it matters.

10. What’s your vision for the role of AI in the future of product management and user experience?

You want to hear ambition that is grounded, not vague promises about “revolutionising” everything.

What to Look For in the Answers

When candidates answer these questions, you’re not just listening for technical AI knowledge.
You’re looking for evidence that they:

• Understand user needs deeply.

• Apply AI with strategic discipline, not as a gimmick.

• Think about practical implementation challenges, like integration and user trust.

• Stay curious and humble as AI evolves — but stay focused on solving real problems, not chasing hype.

Final Thought: AI Should Serve Strategy, Not Replace It

The best product managers today see AI as a lever to build better, more human, more impactful solutions.
They don’t let AI replace good product thinking, they use it to strengthen it.