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Duolingo is seeking a Product Manager to lead our Notifications team, owning strategy and execution for a high-impact notifications surface. You will shape product decisions, run fast experiments, and collaborate with engineers, data scientists, ML/AI partners, designers, and writers to improve engagement and retention across learners worldwide.
You will drive the roadmap for new notification types, optimize opt-in and reach, and explore how email and other channels can re-engage learners.
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and even though we've made a lot of headway, we still have work to do — and that’s where you come in!
Our Product Managers (PMs) have ownership over product optimizations and features, from independently run experiments to major product decisions. Backed by strong analytical skills and business acumen, and inspired by access to senior leadership and transparency into how they make product decisions, our PMs develop insights that lead to new product ideas and Duolingo’s next beloved feature.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
Come and be a product lead within our Notifications Team, one of Duolingo’s highest-impact Growth teams. Notifications are already among the most important drivers of top-line impact at the company, and we’re investing further in this area as a major lever for driving retention and engagement.
You’ll own product strategy and execution across a broad set of opportunities to make our notifications more effective, more engaging, and more valuable to learners. You’ll help identify new notification types, improve opt-in and reach, and explore how channels like email and other alternatives can play a stronger role in bringing learners back.
This is a highly cross-functional role spanning product, engineering, data science, ML/AI, design, and product writing. You’ll work closely with partners across disciplines to develop new ideas, run fast experiments, and turn what we learn into product strategy that helps more learners build lasting habits.