AI Native Product Manager

The AI Native Product Manager at Trengo will be responsible for utilizing AI tools and techniques to enhance product functionality. You'll work closely with Product Designers and Engineers, set expectations with stakeholders, and identify new opportunities by deeply understanding customer needs. Additionally, you'll distill complex requirements into actionable insights and prompt strategies that drive user engagement and satisfaction.

To be a strong candidate for the AI Native Product Manager role at Trengo, you should have at least 2 years of experience in product management within a SaaS startup or scale-up. You’ll need proficiency in writing and optimizing prompts, a solid understanding of generative AI, and excellent stakeholder management skills. A customer-centric approach and adaptability to change are also essential for success in this role.

Trengo places a high value on professional development for the AI Native Product Manager. You’ll have access to an education budget to pursue growth-oriented training, additional days off for conferences, and ongoing mentorship from your manager. This focus on growth is one key reason for Trengo's positive workplace culture and Glassdoor ratings.

At Trengo, the working environment is dynamic and encourages collaboration. You'll work in a hybrid setup with the flexibility to work from home or abroad, and when in the office, you can enjoy a friendly atmosphere with delicious meals provided by our in-house chef. There’s also a strong emphasis on mental health support, with access to personalized sessions via OpenUp.

The culture at Trengo is built on innovation, collaboration, and continuous improvement. As an AI Native Product Manager, you'll be part of a supportive team that values diverse ideas and approaches. We foster a culture of open communication, allow for flexibility in work arrangements, and organize team-building activities, as we believe that happy teams create outstanding results.

A great way to answer this question is by discussing your approach to prioritize based on customer impact, business goals, and team capacity. Explain that you utilize frameworks such as the Eisenhower Matrix or MoSCoW method, which help in making data-driven decisions while ensuring that stakeholders are always informed.

When preparing to answer this question, share a specific project where you were involved in the launch of an AI-related product. Highlight your role in gathering requirements, defining the product vision, collaborating with cross-functional teams, and measuring success metrics post-launch. Use this story to showcase your leadership and problem-solving skills.

For this question, provide an overview of your experience in creating and optimizing prompts for different generative AI models. Talk about the methods and tools you’ve used, the feedback loop you established for continuous improvement, and any notable results that demonstrate your impact on user engagement and satisfaction.

To effectively answer this question, mention the various resources you leverage for staying updated, such as attending related conferences, following key individuals in the AI domain on social media, participating in online forums, and subscribing to industry newsletters. This demonstrates both your commitment to learning and your proactive approach.

In your response, emphasize the importance of clear, concise, and regular communication with stakeholders. Discuss your strategies for setting expectations, utilizing project management tools for updates, and fostering open dialogue that encourages feedback. Highlight your belief that effective communication is vital for achieving alignment within the team.

When answering this question, focus on a specific project that presented challenges and how you navigated through it. Discuss how you analyzed the situation, formed a plan, collaborated with the team, and achieved a successful resolution, showcasing your problem-solving and leadership abilities.

Express your passion for leveraging technology to enhance customer experience and drive business outcomes. You can also mention how challenges inspire you to innovate and your commitment to continuous learning in the fast-paced AI landscape.

In your answer, outline your methodology for evaluating features based on customer value, resource availability, and strategic alignment. Discuss tools or prioritization frameworks you use and explain how you balance short-term and long-term goals within the product roadmap.

Discuss the importance of actively seeking and incorporating customer feedback into your product lifecycle. Explain how you utilize feedback to drive feature development, validate assumptions, and refine your priorities, emphasizing that customer satisfaction is your ultimate goal.

For this question, articulate your approach to defining success metrics before launching an AI feature. Mention quantitative and qualitative measurement techniques, such as user engagement, retention rates, and user feedback, that provide insights into how well the feature meets customer needs.