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Salary: USD 204,000 - 306,000 / annual
Duolingo is seeking a Senior Engineering Manager to lead the Monetization Pillar, which drives the company's key business initiatives around subscriptions, ads, and in-app purchases. You will co-lead a cross-functional pod with Product and Design to define strategy, success metrics, and execution roadmaps for one of Duolingo's monetization teams.
In this role, you will manage a team of software engineers, responsible for hiring, developing, and retaining talent. You'll partner closely with design and product teams to ship experiences that feel native to Duolingo—delightful, well-paced, and respectful of learners while maintaining strong monetization performance. You'll collaborate with data science and ML partners to design experiments, apply personalization and targeting, and translate insights into product improvements and revenue growth.
Key responsibilities include owning planning and execution for projects that directly impact revenue, identifying team-level metrics to optimize, and protecting delivery through clear milestones and risk management. You'll bring both technical and product perspectives to new ideas, enabling rapid hypothesis testing without sacrificing reliability, observability, or long-term maintainability. You'll also set and uphold engineering quality standards and practices that improve reliability, scalability, and operability.
Required qualifications include demonstrated experience leading and building engineering teams, direct experience with monetization systems, a track record of owning multi-engineer technical projects in data-driven environments, strong product instincts, and excellent cross-functional communication. You should have experience working with data, experimentation, or ML teams, and demonstrated ability to raise the bar on engineering practices.
Exceptional candidates will have deep experience with ad mediation systems (AdMob, GAM, Open Bidding), designing in-product ad formats for mobile apps, improving ad quality through experimentation, collaborating on direct/programmatic campaigns, and leading multi-platform teams with ML-powered personalization experience.
