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Salary: USD 204,000 - 306,000 / annual
Duolingo is seeking a Senior Engineering Manager to lead the newly formed AI Tooling and Ecosystem Team. This role is central to shaping how Duolingo builds AI-powered features across its platform serving half a billion learners worldwide.
You will manage a team of software and AI engineers responsible for developing the suite of tools and services that power Duolingo's AI infrastructure. Key responsibilities include:
- Leading the design and development of systems for managing datasets, evaluating AI model performance, and building AI workflows
- Managing shared systems for AI-related datasets, prompts, and evaluations (combining human feedback with LLM-as-a-judge approaches)
- Building processes that enable product teams to define success criteria, select appropriate models, and establish feedback loops for prompt optimization
- Streamlining AI development flows so teams with varying AI expertise can build systems quickly
- Collaborating with the AI Core Infrastructure Team to ensure workflows are reliable, measurable, and cost-efficient
- Partnering across AI, Product, Data Science, and Platform leadership to develop new AI tooling for common use-cases
- Owning multi-quarter roadmaps and driving cross-functional alignment to increase AI feature velocity and measurable product impact
Required qualifications include proven experience leading and managing teams of software/AI engineers with demonstrated ability to hire, develop, and retain talent. You should have a track record building AI infrastructure or user-facing AI products, familiarity with AI evaluation methods (especially human-in-the-loop approaches), strong cross-functional leadership skills, and comfort navigating ambiguity in a fast-evolving AI landscape.
Exceptional candidates will have hands-on experience building evaluation systems and human-in-the-loop data pipelines at scale, developing internal platform tools via APIs and web interfaces, and experience with build-vs-buy decisions and long-term roadmap planning for internal customers.
