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Lead product strategy and roadmaps for Netflix TV platform and partner device technologies. Work with engineering and device partners to define features, measure infield performance, drive adoption, and oversee project delivery to improve media-rendering, playback, and device capabilities.

Lead global developer learning programs end-to-end: design onboarding, continuing education, documentation strategy, AI-assisted workflows, and analytics. Partner with engineering, product, and stakeholders to create scalable training, measure developer productivity, and drive initiatives that boost developer velocity and enable teams to create their own learning content.

Design and build high-volume, low-latency Conversion APIs to ingest consented advertiser events (server-to-server, pixel, batch). Implement streaming architectures (Kafka/Flink), deduplicate and enrich identity/attribution data, enable measurement, optimization, retargeting and reporting while ensuring privacy, compliance, and cross-functional collaboration.

Lead organic social strategy and content for assigned sports and nonfiction titles across Netflix's social ecosystem. Plan and deliver multi-platform campaigns, use analytics to iterate creative, coordinate content capture with talent and production, manage agencies and cross-functional partners, and drive title awareness and conversation globally.

Develop and maintain customer-facing libraries and online inference services for low-latency, reliable real-time predictions. Optimize and deploy LLMs for efficient GPU inference, maintain a model registry, and improve ML Platform CI/CD, observability, and incident management. Collaborate cross-functionally to productize models and accelerate research-to-production velocity for Netflix ML practitioners.

Compose and develop final look for animated feature shots by combining render layers, working with Lighting and Production Design, and implementing scalable look setups. Design tools and pipelines, troubleshoot technical challenges, mentor junior compositors, and maintain colour accuracy across workflows while meeting deadlines and production targets.

Lead design and implementation of gameplay and engine systems on Linux platforms. Mentor engineers, define technical specs, manage Linux infrastructure, optimize performance and security, integrate art, maintain documentation, support live services and mobile (iOS/Android) ports, and coordinate cross-team standards and tooling.

Build and operate full-stack observability features that combine logs, metrics, and traces into actionable insights. Design, develop, test, deploy, and support backend APIs (GraphQL/Node.js) and frontend experiences (React/TypeScript) while collaborating with Telemetry and Monitoring teams at Netflix scale.

Perform scripted in-character and ad-hoc fan interactions at Netflix House, operate show-related positions, follow SOPs and safety protocols, assist guests with ticketing and flow, and maintain show quality and consistency.

Lead and grow a senior machine learning and causal inference research team; define long-term research strategy; balance foundational and applied projects; partner cross-functionally to translate research into product impact; build external academic collaborations, publications, and a high-performing research program.