Principal Product Manager (Extensible Compute)

Join Snowflake as a Principal Product Manager for the Extensible Compute team. In this role, you will define and own the product vision and multi-year roadmap for Snowflake's extensible and serverless compute platform. You will drive platform initiatives across engineering, product, and go-to-market teams, and partner with senior engineers on architecture, performance, reliability, and cost trade-offs. This is a unique opportunity to shape the future of Snowflake's compute architecture and drive significant impact across the company.

• Definir y poseer la visión del producto y la hoja de ruta a largo plazo para la plataforma de computación extensible y sin servidor de Snowflake.
• Traducir las necesidades de los socios de productos internos en abstracciones de plataforma duraderas y reutilizables, convirtiendo las solicitudes de carga de trabajo personalizadas en capacidades estandarizadas.
• Impulsar iniciativas de plataforma ambiguas de 0 a 1 y de 1 a escala de manera integral a través de equipos de ingeniería, producto y comercialización.
• A Bachelor's degree in a technical field, or equivalent experience
• Strong communication and influence skills with senior product and engineering leaders
• Deep experience in one or more of cloud infrastructure, developer platforms, serverless or container runtimes, or distributed systems
• A demonstrated history of driving 0 to 1 or 1 to scale platform initiatives across engineering, product, and GTM teams
• The ability to engage senior engineers credibly on architecture, performance, reliability, and cost trade-offs while owning roadmap and business outcomes
• Comfort operating at the boundary of product, architecture, and business strategy
• 10+ years of product management experience, including a strong track record with platform, infrastructure, or developer-facing products, or equivalent experience
• Familiarity with optimizing unit economics for large-scale compute platforms
• Experience building developer runtimes or technical platform products
• Experience supporting AI infrastructure or AI-native workloads
• Experience with serverless compute or container platforms