Jobs at Duolingo

Contribute to full-stack software projects by developing, testing, releasing, and maintaining features, services, and infrastructure. Interns will lead individual project deliverables, participate in code reviews, and collaborate across teams to build scalable, high-quality products. The role offers mentorship and opportunities to work on impactful education technology projects, including microservices, platform features, experimentation tools, observability systems, and AI-enabled internal tools.

Designs, operates, and improves Duolingo’s large-scale distributed systems and core infrastructure. Responsibilities include diagnosing production issues, developing platforms and automation, conducting launch reviews and root cause analyses, maintaining incident response and postmortem practices, and improving reliability, scalability, and engineering velocity. The role partners with product and platform engineering teams to reduce operational toil and ensure high-quality service delivery.

Lead the AI Tooling and Ecosystem Team in developing tools and services for datasets, prompts, evaluations, AI workflows, and model performance measurement. Manage engineers, build AI infrastructure and products, establish human and LLM-as-judge evaluation processes, streamline AI development, and partner with AI, product, data science, and platform leaders. Own multi-quarter roadmaps, cross-functional alignment, and initiatives that improve AI feature velocity and product impact.

Drive global mobile user acquisition campaigns across Google UAC, Meta, TikTok, and programmatic channels. Own campaign execution, creative strategy, budget optimization, agency partner management, and performance improvement across CPI, retention, LTV, CAC, and monetization metrics. Use attribution and marketing analytics to guide experimentation, develop growth opportunities, collaborate with cross-functional teams, and present strategic recommendations to marketing leadership.

Leads mixed-method product research across discovery, concept testing, and post-launch improvements for Duolingo’s global learner experience. Partners with designers and product managers to identify high-impact questions, guide product strategy, generate actionable insights, and establish research-sharing systems. Mentors researchers, improves research practices, and introduces methods and tools that increase rigor and speed.

Develop and improve user growth forecasting methods, deliver reliable quarterly forecasts, and build robust forecasting processes. Collaborate with Product, Finance, Strategy, and senior leadership to translate business changes into analytical requirements and actionable recommendations. Communicate complex quantitative findings clearly, validate methodological advances, and mentor junior data scientists.

Embed with product teams to use data science, machine learning, experimentation, and analysis to improve user growth and product outcomes. Build scalable data products, models, dashboards, and analytical foundations; assess opportunities and ROI; communicate findings to leadership; collaborate with Product, Engineering, Design, Marketing, and Finance; and mentor other Data Scientists.

Design and operate internal enterprise platforms covering identity and access management, SaaS integrations, endpoint management, automation, and employee lifecycle workflows. Build infrastructure-as-code and CI/CD systems, define SLOs, monitor reliability, participate in incident response, and partner with Security, Finance, Legal, Procurement, and Platform teams. Deliver scalable, auditable workflows and internal tools across systems such as Okta, Google Workspace, Slack, and Atlassian.

Analyze global performance marketing campaigns, measure media-spend impact, develop data-driven user-growth strategies, define marketing KPIs, and transform complex data into actionable insights. The role partners with data science and marketing technology teams, shapes backend data design, and builds dashboards in tools such as Tableau. Candidates need strong SQL, marketing analytics, data visualization, communication, and analytical skills, with occasional statistical programming experience preferred.

Own product strategy and execution for Duolingo’s Growth Pillar, focusing on user retention, daily active users, engagement, and feature adoption. Lead the roadmap and full feature lifecycle from ideation through iteration, run experiments, analyze results, and translate insights into product strategy. Collaborate with engineering, data science, ML/AI, design, product writing, and leadership to create engaging experiences that build lasting language-learning habits.

Own product strategy and execution for Duolingo’s notifications team, driving roadmap development, experimentation, launches, and iteration. Improve notification opt-in, reach, conversion, engagement, and retention across push, email, and alternative channels. Partner cross-functionally with engineering, data science, ML/AI, design, product writing, and leadership to develop personalized notification experiences and make data-informed product decisions.

Leads Duolingo’s Growth and Monetization product organization, owning daily active users and revenue. Manages pillar leads and approximately 20 product managers, develops senior product leaders, sets product strategy and operating mechanisms, oversees experimentation and resource allocation, and partners with Engineering, Design, Data, and Marketing to deliver sustainable growth and monetization results.

Lead product design for Duolingo’s monetization experiences across subscriptions, ads, and in-app purchases. Define free and paid user journeys, shape product strategy and roadmap, partner with product managers and engineers, and expand the design language with designers and artists. Develop experiences spanning copy, animation, usability, and business impact while supporting experimentation, iterative improvement, and design talent development.

Own the stability and performance of Duolingo’s Android learning app at scale. Lead architectural improvements for startup and critical learning flows, evolve tracing and benchmarking tools, detect regressions automatically, and maintain performance metrics for experiment analysis. Partner with product teams to interpret performance data, resolve crashes, ANRs, memory leaks, and dropped frames, while mentoring engineers and promoting engineering excellence.

Build and operate reliable, scalable backend services and infrastructure. Collaborate with product, design, mobile, data science, and machine learning teams; own complex technical problems from design through production; lead project priorities and milestones; and maintain systems supporting score calculation, learning engagement, advertising, and observability.

As Head of Influencers & Community, you will lead the strategy for influencer engagement, community growth, and user-generated content to drive measurable growth for Duolingo. Your role includes building partnerships, designing loyalty programs, and collaborating across teams to ensure community-driven initiatives support brand expansion.

Lead Duolingo's creative vision for marketing, driving culturally resonant campaigns while mentoring a team of creatives and collaborating across departments to enhance brand impact.

Lead a team of 6–10 data scientists to drive user acquisition, activation, retention, and reengagement through experimentation, forecasting, ML, and business intelligence. Set analytical vision, build forecasting systems and metrics, embed data scientists in product teams, influence leadership with clear narratives, and hire and develop high-performing talent.

Lead product strategy and improvements for the Duolingo English Test, including user acquisition, monetization, security, test development, and global scaling. Partner with engineering, AI research, design, marketing, and other teams to improve the testing experience. Conduct qualitative and quantitative research, use data to validate ideas, guide feature development, and deliver innovative product changes for learners worldwide.

Develop strategies, assess markets and opportunities, establish success metrics, and guide prioritization across Growth, Language Learning, Monetization, and other functions. The role partners with product, engineering, design, marketing, partnerships, data science, and finance teams to turn insights into scalable systems and accelerate company priorities.