Jobs at MrBeast

Own product strategy, roadmap, and requirements for customer support, identity, age assurance, moderation, case management, enforcement, and platform integrity tooling. Partner with Engineering, Operations, Legal, and Policy to define automation, safeguards, integrations, metrics, appeals, and compliance workflows. Lead build-versus-buy decisions, launch readiness, and cross-functional delivery for a consumer app involving prizes, payments, and younger users.

Build and ship full-stack customer experience, fraud, and safety tooling for support, investigations, moderation, and abuse detection. Own features from development through deployment, integrate vendor APIs, and maintain reliable production systems that protect users and support teams. Work across frontend and backend using AI coding tools, translating evolving trust, safety, and compliance needs into scalable data models and workflows.

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.

Lead the end-to-end design of a new, AI-first consumer membership app serving a large global audience. Responsibilities include defining product workflows and roadmap, designing onboarding and retention loops, developing achievement systems and digital and real-world economies, rapidly iterating with AI tools, and shipping a scalable, gamified consumer product from zero to one.

Lead end-to-end data science projects to build, validate, and deploy statistical and machine learning models. Drive experimentation, causal analysis, and decision-support analytics for product and business stakeholders, mentor junior team members, and partner with engineering to productionize models and measurement frameworks.

Own the strategy, roadmap, architecture, and adoption of the company’s central data infrastructure and BI platform. Partner with analytics, engineering, and business teams to establish trusted KPI reporting, semantic models, scalable warehousing, BI and ETL tooling, clear SLAs, and AI-powered self-service insights. Translate ambiguous needs into testable requirements, evaluate technical solutions, prototype quickly, and measure adoption, quality, and reporting efficiency.

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.

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 design and build of end-to-end customer support and platform integrity for a new consumer app: operating model, vendor strategy, SLAs, incident response, metrics, AI-augmented automation, cross-functional partnership, and continuous improvement to ensure safety, fairness, and high-quality user support.

Lead the zero-to-one build of customer support and platform integrity for a consumer app: design operating model, SLAs, escalation, vendor strategy, metrics, AI-augmented automation, tooling, and cross-functional alignment to ensure safety, fairness, and excellent user outcomes.

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.

Lead design and implementation of scalable, performant frontend architectures and reusable UI components for consumer apps. Own core user journeys, optimize performance and accessibility, set frontend standards, mentor engineers, drive architectural decisions, and use AI-first tooling to ship features at scale.

Provide in-house legal counsel for consumer products and the global creator platform, advising on product features, subscriptions, promotions, privacy, contests, commercial agreements, global launches, event and production matters, and winner/age/KYC verification. Draft and negotiate deals, manage outside counsel, ensure regulatory and privacy compliance (including children’s privacy), and enable business teams to launch and scale offerings while mitigating legal risk.

Design, build, and operate a privacy-safe, cloud-based data platform supporting batch and real-time pipelines, analytics, ML/AI, governance, observability, and high pipeline reliability. Partner with stakeholders, set data engineering standards, troubleshoot production incidents, and mentor engineers.

Build end-to-end user experiences for accounts, homepage, and e-commerce. Ship frontend and backend features using AI-assisted tooling, optimize performance and conversion, own releases, and collaborate on high-velocity product development.

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.

Design, build, deploy, and operate production-grade ML systems and pipelines for a massive consumer audience. Own full lifecycle from data processing and feature engineering through training, validation, deployment, and monitoring. Drive ML infrastructure and architecture decisions, partner with product and data teams, optimize models against business metrics, and mentor engineers to ensure security, reliability, and compliance.

Lead identity platform engineering for a multi-entity media and fintech group: automate joiner/mover/leaver lifecycles, onboard and maintain SSO/SCIM app integrations, operate dual-instance identity boundaries for regulated systems, run San Mateo site IT (support, device provisioning, AV), maintain runbooks and app inventory, and act as West Coast on-site escalation for Step.

Edit engaging video content for Beast Industries, making creative decisions that maximize audience retention across digital platforms. Applicants must submit a video they personally edited and screen-record a concise walkthrough explaining their editing choices, rationale, and potential improvements. Submissions should be hosted via an accessible unlisted YouTube or Loom link and kept to five minutes or less.