As a lot of you will know, the product job market has shifted significantly over the past 12–18 months. Competition is higher, expectations are sharper, and hiring processes are more rigorous than ever.
This article is written by Chris Mason, co-founder of Intelligent People, one of the UK’s leading product management recruitment agencies. Chris works closely with both candidates and hiring teams every day, giving him a clear, real-time view of what’s working, and what isn’t, when it comes to job applications.
This isn’t a generic guide or a theoretical take on hiring. It’s based on what Chris has seen over the last year: real candidates, real processes, and real outcomes. These are the common mistakes that consistently hold product managers back, even those with strong experience.
Here are the seven most common ones.
1. Poorly written CV
Most Product Manager CVs focus on outputs instead of outcomes.
Listing features you’ve shipped isn’t enough. Hiring managers want to understand the impact of your work:
- Did you increase conversion?
- Improve retention?
- Reduce churn?
If you can’t quantify it, it’s much harder to stand out.
A few simple fixes go a long way:
- Have someone proofread your CV – they will catch errors you’ve missed
- Add short context about your employers (e.g. “B2B SaaS vendor”, “D2C beauty retailer”) to save the reader time and give clear sector differentiation
- Keep it concise and focused on what changed because of your work
2. Applying for the wrong roles
It’s tempting to aim high or pivot into something new, but stretching too far beyond your current skillset, or experience, rarely works.
You’ll be competing against candidates with:
- More directly relevant experience
- Proven track records in that exact domain
In this market, realism matters. It’s often better to:
- Double down on your strengths
- Leverage your existing experience
- Build toward your next step incrementally
Misrepresenting your experience or chasing roles that don’t fit will usually lead to quick rejection.
3. Not being prepared for AI-related product questions
AI is now a core topic in almost every product interview.
CPOs and CEOs are experiencing genuine pressure, and in many cases are getting AI FOMO, which means they want to understand how you think about it and whether you can apply it in a product context.
You should expect questions like:
- How have you leveraged AI in your product?
- Where would you introduce AI into our product?
- What opportunities or risks do you see with AI in this space?
Even if you haven’t worked directly on AI products, you need a clear point of view:
- Where AI could add value
- How it impacts users
- What good (and bad) implementation looks like
Candidates who can’t engage in this conversation risk looking out of touch.
You don’t need to be an AI expert (unless it is an AI-specific role), but you do need to show you understand how it fits into modern product thinking.
4. Unrealistic salary expectations or career jumps
This isn’t the market for inflated expectations or dramatic leaps.
Candidates expecting significant salary increases or major title jumps, without the experience to back it up are often filtered out early.
A better approach is to focus on demonstrating that you are already operating at the level of the role you’re applying for.
5. Not using your network
One of the most overlooked advantages in a job search is your network.
If you know someone in the business, use it.
An internal recommendation can dramatically increase visibility, add credibility to your application and potentially help you bypass early filtering stages
In a competitive market, this can easily be the difference between being seen and being ignored as an internal recommendation can 10x your application visibility.
6. Relying on AI for interview tasks
Using AI to complete interview tasks is a growing issue, and clients are actively checking for it.
If the work isn’t genuinely yours, it’s usually obvious and it will lead to rejection
Interview tasks are designed to assess your thinking, not your ability to prompt a tool.
Use AI to prepare if needed, but when it comes to the task itself, it has to be your own work.
7. Treating applications as a numbers game
The “spray and pray” approach doesn’t work, especially now.
Mass applying with the same CV leads to:
- Low response rates
- Poor alignment with roles
- Missed opportunities where you could have stood out
Instead, focus on:
- Tailoring your CV to the role
- Demonstrating clear alignment with the company and product
- Showing why you are a strong fit
Quality beats quantity every time.
Final thoughts
The bar for product managers hasn’t necessarily gone up, but the margin for error has gone down.
Most of these mistakes are entirely avoidable. Fixing them won’t just improve your chances slightly, it can fundamentally change how you’re perceived as a candidate.
In a crowded market, that difference matters.
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