Define and build Neo Cloud's AI cloud storage platform by engaging with customers to anticipate future storage requirements. Architect and operate resilient, performant, and scalable storage systems while providing technical leadership and mentorship to the engineering team.
The Principal Hardware Systems Engineer will design, deploy, and manage large-scale AI cloud hardware infrastructure. This role involves direct engagement with customers to define requirements and providing technical leadership to ensure high performance and reliability of AI workloads.
The Product Analytics Manager will build and maintain the analytics infrastructure, including event tracking, core product dashboards, and A/B testing frameworks. They will also partner with product and game design teams to analyze player behavior, predict churn, and optimize game performance.
The Marketing Analytics Manager will own the measurement of acquisition efficiency and marketing ROI across paid, organic, and lifecycle channels. They will build foundational attribution infrastructure and reporting dashboards to link media spend to player value.
You will partner with engineering leadership to manage full-cycle recruiting for AI, infrastructure, and hardware roles. This involves sourcing, screening, and driving high-quality pipelines while maintaining a transparent and efficient hiring process.
You will take end-to-end ownership of features and products across the stack, from user-facing interfaces to backend infrastructure. You will collaborate with product, design, and operations teams to prototype, ship, and iterate on stablecoin platform solutions.
You will take end-to-end ownership of features and products across the stack, from user-facing interfaces to backend infrastructure. You will collaborate with product, design, and external partners to gather requirements, prototype, and ship reliable production systems.
Own the end-to-end design process for major product initiatives from concept to launch, focusing on acquisition, onboarding, and gameplay. Collaborate with cross-functional teams to evolve the design system and improve user outcomes through data and experimentation.
