Senior Engineering Manager (AI Platform)

Join Duolingo as a Senior Engineering Manager (AI Platform) and lead the development of tools and services that power the use of AI in the product. You will design systems for managing datasets, evaluating AI model performance, and building AI workflows. Collaborate closely with various teams to streamline AI development flows and increase AI feature velocity. Enjoy a range of benefits including medical, dental, and vision coverage, mental health support, paid parental leave, and more.

• Lead the development of tools and services that empower Duolingo's product teams to easily and effectively build AI-powered features and workflows.
• Manage shared systems and workflows for AI-related datasets, prompts, and evaluations, and build processes that allow teams to define success criteria for their AI use-case.
• Collaborate closely with the AI Core Infrastructure Team and partner with AI, Product, Data Science, and Platform leaders to build out new AI tooling that supports common use-cases.

• We're looking for an engineering manager who has experience building AI products or infrastructure and is excited to play a central role in shaping the future of AI at Duolingo!
• A track record of building AI-related infrastructure or user-facing products powered by AI
• The ability to work from or relocate to Pittsburgh, PA or New York, NY
• Strong cross‑functional leadership and communication skills; proven ability to align AI, product, data science, and platform partners on strategy and execution
• Comfort leading through ambiguity and shaping new ways of working in a fast‑evolving AI landscape
• Familiarity with AI evaluation methods, especially approaches that combine human and LLM-as-a-judge evaluations
• Experience leading, managing, and building a team of software and/or AI engineers, with demonstrated ability to hire, develop, and retain talent
• Hands‑on experience building evaluation systems and human‑in‑the‑loop data pipelines at scale
• A track record of developing internal tools on a platform or infrastructure team, providing tools and services via easy-to-use APIs, MCPs, and web GUIs
• Experience navigating build vs. buy decisions and shaping long-term roadmaps based on the needs of internal customers