Top Tech Jobs & Startup Jobs

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.

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 trustworthy quarterly user-growth forecasts at Duolingo. Collaborate with Product, Finance, Strategy, leadership, and other data scientists to translate business and product changes into analytical requirements and actionable recommendations. Validate forecasting methodologies, build robust repeatable forecasting processes, communicate complex findings clearly, and mentor junior data scientists. The role requires strong quantitative expertise, real-world forecasting experience, and fluency in SQL, Python, and analytics engineering ecosystems.