Senior Engineering Manager
DuolingoLanguage Learning company
Beijing, China¥898,302 - ¥1,347,453 CNYManager
Software Engineering
About the role
TL;DR
Lead engineering teams focused on Duolingo's monetization strategies.
- •The Monetization Pillar focuses on Duolingo’s key business drivers—subscriptions, ads, and in-app purchases.
- •Our goal is to build the best premium experiences for our learners while ensuring the sustainability and success of our business model.
- •You will play an instrumental role in the strategic direction of Duolingo by developing and refining the methods that make our monetization efforts more effective and efficient.
- •We’re seeking engineering leaders who are passionate about bottom-line business impact, and who bring fresh insights and a creative technical approach.
- •Key Responsibilities Co-lead a cross-functional pod with Product and Design to define strategy, success metrics, and an execution roadmap for one of Duolingo’s Monetization teams.
- •Partner with design and product to ship experiences that feel native to Duolingo: delightful, well-paced, and respectful of the learner without compromising monetization performance.
- •Collaborate with data science and ML partners to design experiments, apply personalization and targeting, and translate insights into product improvements and bookings growth.
- •Own planning and execution for projects that directly impact revenue; identify the right team-level metrics to optimize and protect delivery through clear milestones and risk management.
- •Bring both technical and product perspectives to new ideas, enabling rapid hypothesis testing without sacrificing reliability, observability, or long-term maintainability.
- •Requirements Experience leading, managing, and building a team of software engineers, with demonstrated ability to hire, develop, and retain talent.
- •Direct experience working on engineering teams that build and operate monetization systems.
- •A track record of owning multi-engineer, multi-week technical projects to successful outcomes in a highly experimental, data-driven environment.
- •Strong product instincts and excellent written/verbal communication, with experience aligning diverse stakeholders across engineering, product, design, and analytics.
- •Experience working closely with data, experimentation, or machine learning teams to inform prioritization and ship measurable impact (direct ML expertise not required).
Required skills
Engineering ManagementProduct ManagementMonetization StrategyA/B TestingAgileScrumProject ManagementTechnical LeadershipProduct Analytics
Domain expertise
edtech
Tech stack
PythonJavaScriptTypeScriptJavaGoSwiftKotlinReactNode.jsDjangoFlaskFastAPISpringExpressReact NativeFlutteriOSAndroidPandasNumPySparkTensorFlowPyTorchscikit-learnPostgreSQLMySQLMongoDBRedisElasticsearchDynamoDB
