Senior AI Product Manager (f/m/d)

As a Senior AI Product Manager at Contentful, your main responsibilities will include identifying high-impact use cases for AI-driven content generation, prioritizing them based on user needs and business value, and collaborating closely with various cross-functional teams. You will also drive the quality of AI output, oversee user research to validate project approaches, and actively shape our AI strategy. Essentially, you'll be at the heart of innovating how marketing teams utilize AI within Contentful’s platform.

To succeed as a Senior AI Product Manager at Contentful, you should have proven experience in leading B2B platform management, developing product market strategies, and launching new products. A strong understanding of AI and machine learning concepts is crucial, along with a background in creating scalable solutions through platforms. The ideal candidate is someone with a passion for tackling uncertain environments while demonstrating collaborative capabilities with internal and external stakeholders.

Contentful is dedicated to fostering the growth of its Senior AI Product Managers by providing a generous annual education budget for skill enhancement, offering various workshops and learning events, and creating an inclusive environment that rewards innovation and collaboration. You can expect support from mentors and access to resources that will help you thrive in your marketing and technology expertise.

At Contentful, the work culture is dynamic and inclusive, emphasizing collaboration and creativity among team members. As a Senior AI Product Manager, you'll collaborate with diverse teams, including designers and engineers, and work closely with leadership to achieve your goals. The company values work-life balance, offering various perks and benefits that support your wellbeing, making it a fulfilling and motivating place to work.

A Senior AI Product Manager at Contentful may face challenges related to balancing the rapidly evolving AI landscape with user needs and technical feasibility. Keeping pace with AI technology while prioritizing high-impact projects can be demanding. Additionally, ensuring quality in AI-generated outputs and collaborating across diverse teams requires strong communication skills and adaptability in navigating the complexities of global brand strategies.

When asked about your experience with AI and machine learning in product management, emphasize specific projects where you successfully integrated AI technologies. Highlight your understanding of machine learning concepts, any relevant frameworks you used, and the impact of these projects on user experience and business outcomes.

To effectively answer this question, discuss your approach to balancing user needs with technical feasibility and business value. Illustrate your method for identifying high-impact use cases and how you use data and user feedback to inform your prioritization process.

In addressing this question, detail the steps you take to drive AI output quality. Discuss involving user research, testing with different inputs, and incorporating feedback mechanisms to continually refine the AI's performance based on real-world use cases.

When responding, outline a specific product launch, the strategies you employed, and the challenges you faced. Use metrics to demonstrate the success of the launch and how it achieved its intended business goals.

Share your routine for staying informed about the AI landscape, such as attending conferences, participating in online courses, or following thought leaders in the industry. Mention how this knowledge influences your decision-making and strategy.

Discuss a specific challenge, providing context about the issue. Explain the steps you took to resolve the problem, the stakeholders you involved, and the outcome. Emphasize your problem-solving skills and how you learned from the experience.

In your response, emphasize the importance of clear communication, shared goals, and establishing strong relationships with team members from different functions. Provide examples of how you've successfully worked with engineers, designers, and business stakeholders to achieve project objectives.

Focus on traits such as strategic thinking, strong communication skills, adaptability, and a deep understanding of both technology and user needs. Explain why each of these traits is crucial for succeeding in an AI-driven product management role.

When answering, outline measurable outcomes that demonstrate success, such as user engagement, revenue growth, or improved efficiency in project execution. Discuss aligning these outcomes with the company's broader objectives and vision.

Share your passion for technology and AI, focusing on how these fields create opportunities for innovation and transformative experiences. Explain how this motivation drives you to stay engaged, learn more, and contribute meaningfully in your role.