About the role
Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Superhuman Docs’ collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com . The Opportunity At Superhuman, we're not just another tech company. We help people communicate better with the world around them in their everyday lives. Whether it's a student writing their first essay in English, someone navigating a new country, or professionals trying to convey their ideas clearly, our work genuinely enhances how people connect and express themselves. To build on our success and reach even more users worldwide, we are looking for a Senior Product Manager to join the Agents team. You will play a critical role in leading and executing our company’s strategy to launch new categories of AI agents, expanding Superhuman’s reach beyond writing into richer productivity workflows. In this role, you will: Develop the product strategy and roadmap for new agent categories that power new productivity workflows. Create intuitive agentic experiences: make powerful LLM capabilities feel approachable, simple, and useful. Turn ambiguity into clarity: define problem spaces, craft hypotheses, set success metrics, and drive zero-to-one bets from idea to scale. Build data-informed learning loops: create evaluation frameworks, run experiments, and turn insights into clear product decisions. Collaborate across disciplines and geographies: partner with engineers, product designers, data scientists, marketers, and user researchers to ship and iterate at high velocity.
