Teams at Netflix

Own product vision and AI strategy for internal catalog management and content-understanding tools. Lead roadmap, incubate ML/LLM capabilities, collaborate with researchers and engineers, translate AI advances into scalable internal products, and measure impact through hypothesis-driven evaluation.

Build and scale Netflix Ads sales products, including advertiser data strategy, governance, go-to-market architecture, sales workflow automation, AI-powered agentic experiences, revenue reporting, and forecasting. Partner with sales, engineering, design, ad operations, marketing, strategy, policy, and legal teams to improve sales productivity and advertiser outcomes.

Own ads experimentation and incrementality measurement products for advertisers, agencies, and measurement partners. Partner with engineering, UX, data science, sales, legal, and other teams to define strategy, prioritize the roadmap, launch products, and drive adoption. Apply causal inference and experimentation methodologies, including A/B testing, conversion lift, brand lift, multi-armed bandits, search lift, and geo lift, while supporting Netflix’s advertising measurement ecosystem.