Top Tech Jobs & Startup Jobs

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.

Embed with product teams to use data science, machine learning, experimentation, and analytics to improve user growth. Build scalable data products, models, dashboards, and analytical foundations; prioritize opportunities and assess ROI; translate complex findings into actionable recommendations; collaborate with Product, Engineering, Design, Marketing, and Finance; and mentor other Data Scientists.

Lead and scale Duolingo’s West Coast advertising sales business. Own regional revenue targets, forecasting, go-to-market strategy, pipeline development, strategic advertiser and agency relationships, complex deal execution, pricing inputs, and team hiring and coaching. Build repeatable sales processes in a startup-like environment while partnering with Account Management, Ad Operations, Product, and leadership to grow innovative ad formats and protect the learner experience.

Design and operate enterprise platforms for identity, access management, SaaS integrations, endpoint management, and employee lifecycle automation. Build infrastructure-as-code, CI/CD, internal tooling, dashboards, alerts, and runbooks. Partner with Security, Finance, Legal, Procurement, and Platform teams on SaaS governance, license optimization, risk controls, reliability, incident response, and cross-functional engineering initiatives.

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 growth product strategy and execution focused on improving user retention, DAUs, L7, and feature adoption. Lead roadmap development and features through ideation, prioritization, experimentation, launch, analysis, and iteration. Collaborate with engineering, data science, ML/AI, design, writing, and leadership teams to build engaging consumer mobile experiences and strengthen language-learning habits.

Own product strategy and execution for Duolingo’s notifications platform, including notification types, opt-in, reach, email, and alternative channels. Lead roadmap development, experimentation, launches, analytics, and iteration to improve engagement, conversion, click-through rate, and retention. Partner cross-functionally with engineering, data science, ML/AI, design, product writing, and leadership to build personalized, effective notification experiences.