Jobs at MrBeast

Lead end-to-end product design for a zero-to-one consumer membership app serving over 100 million users. Responsibilities include defining product workflows and roadmaps, designing retention loops such as onboarding and achievement systems, shaping digital and real-world economies, using AI tools to accelerate iteration, and shipping a scalable, highly interactive consumer product.

Design and execute product analyses using raw user behavior data, own A/B experiments from design through interpretation, and translate findings into recommendations for product and engineering teams. Build repeatable analytical tooling, apply statistical modeling, and use AI tools to accelerate exploration, analysis, and insight delivery across consumer products, media, gaming, and e-commerce.

Build and operate high-volume telemetry and analytics data pipelines supporting real-time monitoring, product decisions, experimentation, and user experience analysis. Design event instrumentation, schemas, quality checks, deduplication, late-event handling, and identity stitching. Partner with data science, product, and SRE teams to shape requirements, and integrate AI tooling into development and data quality workflows.

Lead end-to-end product development for a consumer mobile feature area: define requirements, partner with engineering and design, use AI tools for prototyping and research, track activation/retention/conversion metrics, ensure compliance with privacy and eligibility rules, and coordinate with external partners to launch and iterate at scale.

Build end-to-end live streaming and game features across frontend and backend for a high-scale, bursty consumer product. Ship reliable, performant real-time systems using AI-assisted development, and own features from development through production and monitoring.

Build and maintain automated test suites across mobile and backend, integrate quality gates into CI/CD, monitor production systems, participate in incident response and root-cause fixes, and embed quality practices across the engineering team using AI-assisted tools.