AI Product Manager

At Workwize, we’re helping IT teams to easily equip their remote and global teams with all necessary IT equipment. Our automated SaaS platform simplifies hardware deployment, management, and retrieval with fast, reliable deliveries in 100+ countries.

With 50.000 users and 120.000 devices under management, we’re solving hybrid work challenges like laptop deliveries, returns and equipment tracking, allowing IT teams to focus less on manual hassles and more on strategic initiatives.

Join our team to help shape the future of global collaboration. At Workwize, your work will make a real impact in building smarter, more connected workplaces worldwide.

LinkedIn has also recognized Workwize as one of the Top 10 Startups for 2025 in the Netherlands!

About the Role

We are looking for an AI Product Manager who wants to build intelligent automation into a real, complex operational product. At Workwize, we help companies set up, manage, repair, retrieve, and store IT equipment for distributed teams across 100+ countries. That means lots of workflows, lots of edge cases, and a massive opportunity to use AI to eliminate manual work for IT managers.

In this role, you will own the product vision for how AI agents and automation transform our platform. You will work hands-on with AI tooling to design, build, and continuously improve agents that handle complex operational workflows. This is not a strategy-only role. You will be in the details, working with tools like LangSmith to trace agent behavior, evaluate outputs, and systematically make our AI features more reliable and effective.

If you get excited about building AI agents that actually work in production, and you care about making them better every week, we want to talk to you.

Responsibilities

Strategy & Product Vision • Own the AI roadmap and identify where AI can automate and improve operational workflows across the Workwize platform. • Track relevant advances in AI agents and automation, and turn them into clear product bets.

Build, Ship, Improve • Partner with Engineering to design and ship AI-powered features into production. • Define agent behavior (workflows, prompts, guardrails) and handle real-world edge cases across customers and regions. • Own production quality: monitor performance, investigate failures, and improve reliability over time. • Set up evaluation and feedback loops, and track KPIs such as time saved, accuracy, adoption, and customer satisfaction.

Collaboration • Partner with Engineering, Operations, and Customer Success to understand workflows, align priorities, and deliver outcomes. • Run ongoing discovery: talk to internal teams and customers, validate ideas quickly, and iterate based on results. • Communicate plans, progress, and results clearly to leadership and the wider team.

Required Skills & Qualifications 

• 3+ years of Product Management experience in SaaS, with hands-on experience working on AI/ML-powered products or features in the past years.
• Practical experience with AI/LLM tooling such as LangSmith, LangChain, or similar platforms for building, evaluating, and improving AI agents.
• Strong understanding of how LLMs, AI agents, and prompt engineering work at a product level. You do not need to train models, but you need to understand how to make agents work well and get better over time.
• Experience shipping AI-powered features to production and iterating on them based on real usage data and evaluation results.
• Solid product judgment. You consistently simplify complexity and make good tradeoffs.
• Data-driven decision maker. You are comfortable owning KPIs and using analytics to guide priorities.
• High-ownership operator. You take initiative, unblock teams, and do not wait around for permission.
• Excellent communicator who can translate between technical and business audiences.

The Right Mindset

• Experience with operational or logistics-heavy products where automation has a direct impact on efficiency.
• Familiarity with agent design patterns, multi-step workflows, and techniques for improving agent reliability.
• Experience in IT asset management, HR tech, or distributed workforce tooling.
• Comfort with prototyping tools or low-code platforms to quickly test AI concepts.

Our Team  

Becoming part of Workwize means making an impact. We make sure that we will contribute to the change in the way of working. For us it is also important that we make an impact on our employees, that they feel challenged and ease. We consist of a rapid growing and ambitious team with all different backgrounds. Entrepreneurs, Operational specialists, Developers, Sales gurus you can find them all at Workwize and are always on the look-out for the next original ideas to reach more consumers and create the best value for our customers.  

We are looking forward to meeting you and discover if there is a match with the Workwize team!