AI Tooling & Platform Engineering Manager

Duolingo; New York (NY); On-site; USD 204,000 - 306,000; Full time

Benefits offered by this job

Equity compensation

Job summary

Duolingo is seeking an engineering manager to lead the AI Tooling and Ecosystem Team, shaping AI-driven product features and workflows. You will design systems for managing datasets, evaluating AI models, and building AI workflows while defining quality metrics and feedback loops.

You will collaborate with AI Core Infrastructure, Product, Data Science, and Platform leaders to accelerate AI initiatives, own multi‑quarter roadmaps, and deliver measurable product impact at scale.

Qualifications

• Experience leading, managing, and building a team of software and/or AI engineers, with demonstrated ability to hire, develop, and retain talent.
• A track record of building AI‑related infrastructure or user‑facing products powered by AI.
• Familiarity with AI evaluation methods, especially approaches that combine human and LLM‑as‑a‑judge evaluations.
• Strong cross‑functional leadership and communication skills; 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.
• Willingness to work from or relocate to Pittsburgh, PA or New York, NY.

Responsibilities

• Drive development of tools and services that empower Duolingo's product teams to easily and effectively build AI-powered features and workflows.
• Manage our shared systems and workflows for AI-related datasets, prompts, and evaluations (both human and LLM-as-a-judge).
• Build processes that allow teams to define success criteria for their AI use‑case, identify the most appropriate models, and construct feedback loops for prompt optimization.
• Streamline common AI development flows so that teams with varying levels of AI expertise can build out AI systems quickly.
• Collaborate closely with the AI Core Infrastructure Team to ensure that AI workflows are reliable, measurable, and cost efficient.
• Partner with AI, Product, Data Science, and Platform leaders to build out new AI tooling that supports common use‑cases.
• Own multi‑quarter roadmaps and cross‑functional alignment that increase AI feature velocity and measurable product impact across Duolingo.

Skills

Team leadership

AI infrastructure

AI evaluation methods

Cross‑functional leadership

Ambiguity management

Cross-functional collaboration

API & tooling

Tools

APIs

MCPs

Web GUIs

Job description

Duolingo is seeking an engineering manager to lead the AI Tooling and Ecosystem Team, shaping AI-driven product features and workflows. You will design systems for managing datasets, evaluating AI models, and building AI workflows while defining quality metrics and feedback loops.

You will collaborate with AI Core Infrastructure, Product, Data Science, and Platform leaders to accelerate AI initiatives, own multi‑quarter roadmaps, and deliver measurable product impact at scale.