Product Manager, AI Builder

About MangoApps

MangoApps is the leading unified platform for modern workplaces, enabling seamless communication, collaboration, and AI-driven productivity. Our mission is to empower organizations by delivering innovative solutions that connect employees, tools, and knowledge-all in one place.

About the Role

We are looking for a Product Manager with a strong builder mindset to join our growing product team. In this role, you will own key features and product areas from customer discovery through launch, adoption, and ongoing improvement. You will combine strong product management fundamentals with hands-on use of AI-assisted development tools to turn ideas into working solutions faster.

At MangoApps, Product Managers do more than write requirements and hand them off to engineering. They use tools such as Claude Code and other AI-assisted development platforms to explore ideas, create functional prototypes, improve existing experiences, and increasingly contribute directly to production-ready features.

Product judgment remains at the center of the role. AI-assisted building is how you learn faster, communicate ideas more clearly, and deliver customer value more quickly.

What You’ll Do

Understand Customers and Shape the Product

• Develop a deep understanding of customer needs, workflows, pain points, and business goals.
• Speak with customers, prospects, and internal teams to identify meaningful product opportunities.
• Use customer feedback, product usage, competitive research, and business priorities to determine what should be built or improved.
• Turn ambiguous problems into clear product requirements, practical solutions, and measurable outcomes.

Own and Build the Product

• Own a product area or set of features from discovery through launch, adoption, and continuous improvement.
• Define the product vision, workflows, requirements, user stories, acceptance criteria, and success measures.
• Use AI-assisted development tools to create functional prototypes, product improvements, internal tools, and smaller production changes.
• Review and test AI-generated work carefully, including usability, edge cases, performance, security, and reliability.
• Use sound judgment about what you can build directly and when engineering, design, or security support is needed.
• Stay accountable for the customer outcome, not just the requirements or initial release.

Collaborate, Launch, and Drive Adoption

• Partner with engineering, design, and QA to deliver larger or more technically complex initiatives.
• Review designs and technical approaches, evaluate tradeoffs, and make practical decisions about scope, quality, and timing.
• Monitor released features and iterate based on customer feedback, usage data, and results.
• Partner with marketing, sales, and customer success on launches, positioning, adoption, and customer education.
• Serve as a product expert in customer meetings, demonstrations, and sales opportunities.
• Create practical enablement materials and help maintain effective product demo environments.