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Develop and maintain scalable Java services for PlayStation user experiences, collaborating with various teams and ensuring quality through testing and proactive problem-solving.

Develop and deliver machine learning models (churn, propensity, CLV, recommendations) using large-scale behavioral and transactional data. Translate business problems into modelling solutions, collaborate with engineering, product, and commercial teams, communicate insights to stakeholders, and explore advanced methods (deep learning, sequence models) to drive player engagement and value.

Lead commercial strategy and sales performance across 14 CASSA markets. Manage distributors, retailers, promotional execution, budgets, and multi-market sales planning. Coach and develop a commercial team, run joint business planning with partners, deliver executive presentations, and drive retail marketing initiatives to increase market share and profitable growth.

Lead R&D to design and deploy generative models for graphics and video processing. Research and prototype novel methods, build data generation pipelines, collaborate on publications and patents, and support cross-team integration for game rendering and streaming applications.

Lead and develop engineers in the PlayStation SDK Developer CPU Toolchain team; manage hiring, capacity planning, performance reviews, mentorship, and cross-timezone collaboration while removing obstacles and improving development practices.

Lead design, implementation, and operation of scalable logging, diagnostics, and incident-analysis infrastructure for Android/AOSP-based PlayStation Portal. Build crash/ANR/kernel diagnostics, log collection and observability systems, monitoring and alerting, and drive post-release incident analysis and RCA to improve platform quality and reliability.

The Senior Analytics Engineer will design, build, and scale the analytics platform, focusing on data modeling, analytics solutions, and business partnerships to enhance data-driven decision-making.

The Site Reliability Engineer will lead technical discussions, mentor junior staff, improve service reliability, and contribute to code while ensuring operational readiness and stability.

Lead strategy and execution of analytics and AI/ML products to measure and maximize player lifetime value. Drive cross-team alignment, prioritize roadmaps, define experimentation and modelling standards, and ensure scalable, production-grade ML capabilities are adopted and deliver measurable business impact.

Drive video codec architecture and development, optimize performance, resolve issues, evaluate technologies, and lead encoder/decoder feature ownership.