Principal Product Manager (AI team)

The Principal Product Manager at PandaDoc will be responsible for owning the customer-facing AI product, brainstorming new AI-first features, launching impactful iterations, and collaborating closely with design and engineering teams. This role also requires deeply understanding customer needs and spreading the vision of our AI products through partnership with marketing and sales.

Ideal candidates for the Principal Product Manager position at PandaDoc should have prior experience building and launching AI products in a B2B SaaS context, especially serving small and medium-sized businesses. Strong communication skills, a solid understanding of AI technologies, user experience design principles, and the ability to thrive in ambiguous situations are critical for success in this role.

The Principal Product Manager contributes significantly to customer success by identifying and solving customer challenges through innovative AI solutions. By working directly with customers, understanding their needs, and creating user-friendly products, this role directly impacts how SMBs utilize technology to enhance their operations.

The company culture at PandaDoc is centered around work-life balance, continuous feedback, and professional development. As a remote team, we prioritize connectivity and community among our global members, ensuring that every employee feels valued and supported while contributing to exciting projects and initiatives.

The Principal Product Manager at PandaDoc will have ample opportunities for innovation as they lead the development of new AI features and tools. The role is designed for creativity, allowing for experimentation and hands-on development in an environment that fosters fast-paced iteration and impactful results.

When answering this question, focus on specific AI products you've managed, the challenges you faced, and the results you achieved. Highlight how you utilized customer feedback to refine product features and improve user experiences.

It's important to balance customer needs with technical feasibility. To answer effectively, discuss your method for gathering customer insights, assessing market trends, and collaborating with engineering teams to prioritize features with the highest impact.

Share specific methods you employ, such as user interviews, surveys, and data analysis. Explain how these insights translate into actionable features that solve real user problems.

Discuss your approach to continuous learning. This can include following industry leaders on social media, participating in webinars, reading relevant literature, and attending conferences. Mention how you apply this knowledge to your product management strategies.

Provide a specific example of a project where user feedback directly influenced design decisions. Explain how you collaborated with designers to produce a final product that meets customer expectations.

Share a situation where you successfully completed a project under tight timelines. Focus on your organizational skills, communication methods with team members, and how you ensured quality despite the pressure.

Talk about Key Performance Indicators (KPIs) such as user adoption rates, customer satisfaction scores, and engagement metrics. Explain how you use data to inform future product updates and feature developments.

Discuss a specific challenge you encountered in AI implementation, such as data quality issues or user resistance. Focus on how you overcame these challenges and what you learned from the experience.

Describe your methods for maintaining transparency and clarity, such as regular check-ins, project updates, and using collaboration tools. Emphasize your belief in the value of strong interdepartmental relationships.

Articulate your passion for AI technologies and the impact they can have on SMBs. Mention alignment with PandaDoc's mission and values, and share how you see your experience contributing to the company's success.