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Leads strategic, cross-functional technical programs across Growth and the broader organization. Responsibilities include roadmap definition, organizational change management, executive alignment, risk and dependency management, launch execution, process improvement, and mentoring TPMs and engineering leads. The role requires technical credibility, autonomy, strong influence without direct authority, and experience transforming engineering organizations. Familiarity with AI/ML infrastructure, LLM products, large datasets, and AWS is advantageous.

Illustration intern responsible for completing illustration projects independently and collaboratively, developing technical skills through training and mentorship, and partnering with Duolingo artists. Applicants must be pursuing a related bachelor’s degree, have experience with creative software, be available for a full-time 12-week summer internship, and provide a relevant portfolio.

Owns Duolingo English Test proctoring quality standards, calibration, adjudication, certification, and ongoing learning programs. The role analyzes quality trends, develops training interventions, maintains auditable process documentation, guides training specialists and adjudicators, and partners with Psychometrics, Security, Operations, Product, and Engineering to validate human and AI-assisted workflows.

Owns the Duolingo English Test proctoring quality standard, calibration and adjudication programs, certification, ongoing adult learning, and quality measurement. The role develops rubrics, training, decision guidance, and audit-ready processes; analyzes disagreement and performance data; directs specialists and adjudicators; and partners with Psychometrics, Security, Operations, Product, and Engineering to validate human and AI-assisted workflows.

Build and grow Duolingo’s programmatic advertising business by developing agency and advertiser relationships, selling premium PMP and PG deals, managing revenue forecasts and quotas, and negotiating commitments. The role develops pricing, packaging, measurement, and audience-data propositions; partners with Ad Operations on deal setup and delivery; coordinates with direct sales and account management; and establishes scalable sales processes and playbooks.

Develop culturally relevant social-native creative for Duolingo across social, experiential, OOH, partnerships, events, and products. Create content, concepts, short-form video, and cultural activations; provide feedback to creators; steward brand voice and visual language; present ideas; and collaborate with marketing, design, production, PR, partnerships, and legal teams. The role requires hands-on execution, strategic thinking, strong copywriting, art direction, and deep internet culture fluency.

Own and improve Duolingo’s language-learning products from ideation through experimentation, release, analysis, and iteration. Develop product strategy, conduct qualitative and quantitative research, guide engineers, align cross-functional teams and leadership, and optimize learning experiences to make language education engaging and effective.

Build and operate Duolingo’s Kubernetes-based compute platform across regions and cloud providers. Improve GitOps and deployment pipelines, create reusable self-service platform abstractions, and enhance reliability through SLOs, dashboards, alerts, runbooks, on-call participation, and incident response. The role also requires distributed-systems knowledge, production infrastructure experience, CI/CD and infrastructure-as-code expertise, Linux administration, and cross-team communication.

The Senior Site Reliability Engineer will improve the reliability, scalability, and operational performance of Duolingo’s distributed systems. Responsibilities include diagnosing production infrastructure, designing systems, developing automation and platforms, conducting launch reviews and root cause analyses, maintaining incident response and postmortem practices, reducing operational toil, and supporting engineering teams during feature releases.

Lead the AI Tooling and Ecosystem Team in building tools and services for datasets, prompts, model evaluations, human and LLM feedback, and AI workflows. Manage engineers, hire and develop talent, own multi-quarter roadmaps, and align AI, product, data science, and platform teams. Improve AI feature velocity, reliability, measurability, and cost efficiency through internal tools, APIs, evaluation systems, and human-in-the-loop pipelines.