Staff Applied AI Engineer

Leads AI engineering initiatives, driving the adoption of applied AI across the platform. Mentors engineers and shapes the technical roadmap for AI features.

This role involves developing and implementing AI solutions within Snowplow's product ecosystem. The engineer will work on applied AI projects, likely involving customer context infrastructure and real-time data pipelines.

This role focuses on deploying Snowplow's AI capabilities directly with customers, bridging the gap between product and real-world implementation. The engineer will work on applied AI projects, likely involving customer context infrastructure and real-time data pipelines.

This senior engineering role involves building and scaling the AI platform infrastructure that powers Snowplow's applied AI solutions. The engineer will focus on platform architecture, reliability, and performance for AI-driven features.

This Principal-level role leads the go-to-market strategy for Snowflake's customer education programs, ensuring customers and partners can effectively adopt and maximize the AI Data Cloud. The role involves developing education offerings, aligning with product and sales teams, and measuring the impact of learning initiatives on customer success and expansion. This position requires strategic thinking, cross-functional leadership, and deep understanding of enterprise data platforms.

This Staff Software Engineer role focuses on building and scaling Snowflake's Cortex AI Functions, which are serverless AI/ML functions integrated into the Snowflake platform. The engineer will design, implement, and optimize distributed systems that execute AI workloads at scale, ensuring high performance, reliability, and low latency. Key responsibilities include architecting new AI functions, collaborating with ML and platform teams, and driving technical excellence in a fast-paced, AI-native environment.

This Staff Software Engineer role leads the design and development of Snowflake's billing platform, which handles high-volume billing operations for the company's cloud services. The engineer will architect scalable billing systems, ensure accuracy and reliability, and integrate with various cloud providers. They will work on complex distributed systems challenges related to metering, invoicing, and financial data processing.