Top Tech Jobs & Startup Jobs

Lead end-to-end planning and execution of complex, multi-quarter brand campaigns. Define scope, timelines, owners, and metrics; manage dependencies, risks, and cross-functional stakeholders; run operating rituals; build scalable processes and documentation; track performance with analytics; and hire/manage freelance program managers to scale campaign delivery.

Own and build Workato-based automations across People systems, design integrations (Workday, Greenhouse, payroll, benefits), establish governance and documentation, partner with stakeholders to map processes and eliminate manual work, and shape People technology strategy and tooling.

The Product Marketing Manager will develop and execute marketing strategies for Duolingo Math, collaborating with teams and engaging consumers, parents, and educators.

As a Senior Product Manager, you'll develop strategies for In-App Purchases, drive feature execution, and optimize user engagement, leveraging gaming and monetization expertise.

Lead end-to-end brand campaigns and partnerships from strategy through launch and post‑mortem. Drive culture-first, tentpole creative ideas, align cross-functional stakeholders, manage agencies and budgets, define KPIs and measurement, ensure global brand governance and localized execution, and scale learnings across markets.

Lead end-to-end strategy and execution for high‑impact, culture‑first brand campaigns: develop briefs, align cross‑functional stakeholders, manage agencies and production, set budgets and KPIs, measure brand and performance outcomes, and scale learnings across markets.

The Senior Product Manager will drive monetization and growth, optimize user experiences, collaborate cross-functionally, and analyze data to improve performance and retention.

Lead Duolingo's New Subjects engineering pillar (Math, Music, Chess). Co-lead product and technical strategy, manage multiple directors and 100+ engineers, drive AI/LLM-powered features and Unity-based gameplay, ensure reliability and developer productivity, hire and develop leadership, and partner with Product, Design, Learning, and AI to deliver high-impact, experiment-driven products.

Lead a multidisciplinary AI research engineering team to build, train, fine-tune, deploy, and monitor large-scale ML models (including LLMs and recommender systems), drive experiments, collaborate with cross-functional partners, mentor engineers, and influence product and technical strategy for the Language Learning group.

Lead a multidisciplinary AI research engineering team to develop, train, deploy, and monitor ML models (including LLMs, personalization, and recommenders). Drive cross-functional alignment, mentor engineers, set technical direction, run experiments, and ensure scalable, high-quality ML solutions.