Product Owner

As a Product Owner at our innovative AI company, you will lead the AI Assistant team, focused on creating and optimizing the AskNVM tool. Your duties will include managing a multidisciplinary team, scheduling development efforts using Agile/Scrum methods, and ensuring timely delivery of high-quality features while collaborating closely with stakeholders.

To apply for the Product Owner role, candidates must possess at least a Bachelor’s degree or higher in a relevant field, with solid leadership skills and a good understanding of AI/ML concepts. Familiarity with Agile/Scrum methodologies is essential, along with excellent stakeholder management skills and fluency in English. Residency in the Netherlands is required at the time of application.

The key responsibilities of a Product Owner in our AI Assistant team include building and leading a high-performing team of engineers, coordinating and prioritizing development efforts, gathering requirements from stakeholders, ensuring the delivery of quality features, and driving innovation through advanced AI technologies like large language models and voice recognition.

As a Product Owner, you will benefit from a generous professional development budget of €1,500 annually, allowing you to enhance your skills with courses and training programs. We believe in fostering an innovative environment where continuous learning and career growth are key priorities.

Product Owners at our company enjoy a competitive salary ranging from €65,000 to €80,000 annually, along with a 13th-month salary bonus. Additional benefits include 37 vacation days, a comprehensive pension plan, commuting support, hybrid work options, and insurance discounts.

When answering this question, highlight specific projects where you led cross-functional teams. Discuss the methodologies you used and how you facilitated collaboration, overcoming challenges, or optimizing performance.

Explain your approach to assessing stakeholder needs versus technical feasibility. Discuss specific frameworks like MoSCoW or value vs. effort matrices you might use, ensuring to emphasize how this aligns with delivering user satisfaction and business goals.

Share your hands-on experience with Agile frameworks. Talk about your role in sprint planning, backlog grooming, and daily stand-ups, providing examples of how you’ve helped teams adhere to Agile principles and improve productivity.

Discuss specific AI technologies such as large language models or machine learning algorithms that you’ve worked with. Highlight your understanding of how these technologies can be applied in practical scenarios to drive product innovation.

Share your preferred conflict resolution strategies, emphasizing communication and understanding different perspectives. Provide a concrete example where you successfully resolved a conflict to foster a more productive team environment.

Describe your process for conducting interviews, workshops, or surveys. Discuss the importance of aligning project goals with stakeholder expectations and how you ensure that all voices are heard to shape the product effectively.

Talk about how you define success through key performance indicators (KPIs). Include examples of metrics used, such as user engagement or satisfaction rates, and how you leverage data to adjust the product roadmap.

Explain your approach to project management, including using Agile tools or scrum boards. Discuss how you balance feature delivery with quality assurance to avoid compromising on either aspect.

Share your insights on current trends and potential use cases for AI, such as predictive analytics, smart customer service tools, or enhancing property valuations. This demonstrates your forward-thinking perspective and industry knowledge.

Discuss team-building activities, regular check-ins, or creating an inclusive culture as strategies for boosting collaboration and morale. Provide anecdotes illustrating how these strategies have positively impacted team dynamics in your experience.