Senior Manager - AI for Engineering Systems

Leads AI engineering team to build and scale AI products. Focus on technical strategy, team leadership, and delivery.

Senior Manager of AI Software Engineering role with limited details provided. Likely responsible for leading AI software engineering teams, developing AI-driven products, and integrating machine learning models into production systems.

This senior engineering management role leads AI and innovation initiatives, overseeing the development and deployment of advanced AI solutions. The position requires technical leadership and strategic direction for AI-driven products.

Builds, leads, and develops a team of Applied AI Engineers supporting enterprise customers, owning the technical success of a strategically important customer portfolio. Coaches engineers through architecture, model selection, evaluations, and reliability decisions, and serves as a senior technical escalation point for critical launches and incidents. Requires technical depth, people leadership, and operational rigor.

This role leads the engineering of elastic global services, focusing on building scalable and resilient infrastructure. It involves designing and implementing distributed systems that can dynamically scale to meet global demand. The position requires deep expertise in cloud-native technologies and large-scale system architecture.

This Principal Value Advisor blends business consulting with advanced analytics to optimize customer use of Snowflake's cloud platform. The role analyzes customer consumption data to provide actionable insights on cost optimization and ROI, and develops cloud unit economics models and KPIs.

This role focuses on acquiring new commercial accounts for Snowflake, leveraging a hunter mentality to prospect and close business. The Account Executive will conduct discovery calls, demos, and presentations, and work with cross-functional teams to meet sales quotas.