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Duolingo is seeking a Product Manager to lead the Notifications surface within our growth team. You will own strategy and execution for improving how learners receive and engage with notifications, including experiments, opt-in improvements, and exploring channels beyond email.
Collaborate with engineers, data science, ML/AI, design, and product writers to ship features end-to-end, measure impact on retention and engagement, and turn learnings into roadmap priorities.
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.