The posting
Wonka · Hybrid, 2–3 days a week on site · 3+ years experience
About Us
We work until every person sees AI as a superpower, not a threat, and Europe owns the technology behind it.
That is a big sentence for a team of 30+, so here is what it means day to day. Most people in most companies are not technical and have no ambition to become AI experts. They are planners, accountants, project leads and support agents. Many of them are convinced AI could make their work and their life better, yet today they are copy-pasting into a free chat window. They can do far more than that. We build for them.
Our AI platform works inside the systems they use every day, whether they love them or hate them: ERPs, CRMs, databases and document systems. More than 200 companies have chosen Wonka, and thousands of people use our technology every day.
We also care about who owns that technology. Our platform is built in Belgium, on open source, so European companies choose where their data lives and which models they run on. We call it Leaving No Human Behind: everyone gets to work with AI at full strength, on technology Europe can call its own.
About the Role
As Product Manager, you own what gets built and why. That makes you the person who turns our mission into a product. Every feature we ship should make someone better at their job from the first day they use it. You make sure it does.
You turn vague business requests into clear, validated specifications before they reach the developers, so the team builds the right thing the first time. You set the product vision, guard the backlog and make sure clients adopt and get value from what we ship. You have the mandate to say no, also to the founders, when something is not ready or does not solve our user’s problems.
What You Will Do
- Own discovery: sit with clients, users and the business until you understand the problem behind the request, validate what is worth building, and involve the right stakeholders early.
- Write clear PRDs with use cases, business rules and acceptance criteria, and kick them off with design and tech. The person you are building for should be recognisable in every spec.
- Guard the backlog with the tech lead: scope, structure and prioritise on impact, confidence and effort, and keep a roadmap that adapts to business needs. Nothing becomes a ticket until it is validated.
- Protect the team from constant changes of direction, and push back when a request is not clear.
- Validate deliveries against the specs before they go live. It is done when a first-time user gets value from it right away.
- Track usage and adoption per user and organisation. Every active user is someone getting more out of their day, so you use data and feedback to grow that number through better onboarding, training, client communication and subscriptions.
- Shape the support flow across email, Slack and Intercom, so clients get help quickly and what they tell us flows back into the product.
- Show developers and the business what a good spec looks like, and be the voice of what our product stands for, inside and outside the company.
What a Typical Work Week Looks Like
- Monday: A client asks for “better reports”. In the discovery call you find out which decision they need to make, and how much faster they could make it.
- Tuesday: You write the PRD and run the kick-off with design and tech.
- Wednesday: In the backlog session with the tech lead, you set priorities and turn down two requests that are not ready, with a clear explanation for each.
- Thursday: You dive into usage data per organisation, spot a client where adoption could be much higher and plan a better onboarding with the team.
- Friday: You validate a delivery against its spec, review the week’s support trends and present a roadmap update to the founders.
What You Will Bring
Core Competencies
- Several years of experience as a product manager. Having led a team or a product initiative is a plus.
- Strong spec writing: PRDs that developers can build from without guessing. For every feature you can state clearly how it gets built, how its success is measured and how it is tested. You think ahead about what a developer could misread and sharpen the briefing before it reaches them, so we need fewer iteration loops.
- Stakeholder alignment: you gather feedback from many different parties, clients, users, developers, Sales, Delivery and the founders, and bring them together around one shared product vision.
- Comfort with technology and AI tools. You understand what an AI agent needs to produce good output.
- A feel for people who are not technical. You can make AI feel simple and exciting to someone who has never used it at work.
- The confidence to say no, also to senior stakeholders, and to argue clearly why something should be done a certain way.
- Good product taste and creativity: you make your own choices and can defend them.
- English proficiency is essential, as it is the primary language for all internal communications at Wonka.
Nice to Have
- Experience building or strengthening a product function in a growing company.
- Experience with B2B SaaS or AI products.
- Experience with adoption metrics, onboarding and subscriptions.
- Experience with support tools such as Intercom.
- French and/or Dutch.
Note on fit: If you meet most of the must-haves and the mission pulls at you, apply. Research consistently finds that people, especially women, pass on roles they would do well in because a requirements list reads like a checklist.
How We Work
You work closely with our CTO and tech lead, a young and motivated development team, the founders, Delivery and Sales. We value decisions based on data, open and constructive collaboration, and an entrepreneurial mindset: look for the 10x solution, take ownership and learn from setbacks. Priorities change fast in a growing company. You keep the team focused while staying flexible yourself.
In exchange, you get to shape the product of a profitable, growing European AI company, with real influence on what gets built and why. You will shape how developers work with AI agents, and how hundreds of companies and thousands of people experience AI in their daily work: as something that makes them better at what they do.
Customer Relationship
Personal Evolution
Autonomy
Administrative Work
Technical Expertise
Apply Now →



