Teams at Runway

Design and curate multimodal, multitask datasets and run controlled training experiments to evaluate how data composition affects world-model performance. Build large-scale synthetic data pipelines, filtering and quality-control systems. Define benchmarks and evaluations, and partner with product and creative teams to translate target behaviors into data strategies that enable simulation-driven AI capabilities.

Provide day-to-day IT support for a globally distributed AI company: triage help-desk tickets, provision and ship laptops, manage Google Workspace, enforce endpoint security and device compliance, run onboarding/offboarding, maintain SaaS seat/license management, support office networking/AV, write runbooks, and contribute to security, infrastructure, and automation projects as the first EMEA IT hire.

Design and own growth-critical surfaces (pricing, paywalls, upgrades, checkout) to drive ARR, expansion, and reduce churn. Create hypotheses, run A/B tests with growth engineering and data, iterate fast on winners, and ensure visual/interaction consistency. Set design direction for growth surfaces and mentor other designers.