Snowflake

Product Manager to lead the strategy and execution for Snowflake's Cortex LLM Platform, focusing on foundational infrastructure for LLM serving at scale, AI model performance, inference elasticity, and cost-efficiency for enterprise AI applications.

Director of Data Science for Snowflake's Go-To-Market organization, focusing on analytics and AI initiatives to drive growth through data-informed decision making, experimentation, and advanced ML/AI products. Will lead a team, partner with GTM leadership, and establish measurement frameworks.

This role focuses on building AI-powered conversational analytics experiences for HR teams using Snowflake Cortex. The responsibilities include owning the data layer, AI logic, and quality assurance, translating stakeholder needs into products, delivering actionable insights, and maintaining rigor through testing and validation. The role requires strong SQL, familiarity with the modern data stack, and experience with non-technical stakeholders, with a curiosity for AI and building LLM products.

Industry Architect for Advertising & Media at Snowflake, focusing on helping customers leverage Snowflake's AI Data Cloud for media measurement, marketing science, and privacy-safe data collaboration. The role involves designing end-to-end solutions for MMM, MTA, and unified measurement using AI/ML, and influencing product roadmaps.

Snowflake is seeking a Developer Advocate for their Cortex Code Enablement team. This role focuses on creating documentation, guides, and examples, running hackathons, and designing Agent Skills to drive adoption of their AI-powered development experiences for data teams. The ideal candidate will have a strong technical foundation in AI patterns like RAG and agents, excellent communication skills, and a bias for action.

Senior Product Manager for Applied AI at Snowflake, focusing on bringing generative AI and ML to enterprise customers within the Data Cloud. The role involves owning the end-to-end product lifecycle for AI solutions and services, defining roadmaps, and working with engineering to deliver innovative, easy-to-use AI capabilities. Key responsibilities include cross-functional leadership, customer engagement, commercializing innovation, and shaping business strategy at the intersection of customers, engineering, and GTM.