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Engineering Manager - Snowpark

Snowflake - Bellevue, WA, United States - In-office - posted 2026-10-12

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Snowflake is seeking a Software Engineering Manager for Snowpark, the company's elastic, high-scale, cloud-native compute platform. Snowpark enables customers to run AI, ML, Data Science, and Data Engineering workloads directly on Snowflake's data cloud without managing underlying compute infrastructure. In this role, you will lead a highly productive, fast-moving engineering team building the next generation of compute platforms. You'll provide technical and strategic direction to define the product ecosystem, technical roadmap, and long-term vision. Your responsibilities include planning and executing complex technical projects that span multiple teams, anticipating customer needs and market trends, and influencing leadership on technical direction and investment priorities. You will drive improvements to product stability, reliability, and operational health, including on-call management and service diagnostics. You'll identify and address skill gaps within your team, mentor engineers to grow their technical expertise, and create tools and processes that enhance team productivity and efficiency. Snowflake's mission is to mobilize the world's data by shifting from "bring data to compute" to "bring compute to the data." The company's cloud-native architecture has revolutionized data warehousing, enabling thousands of enterprises to unlock data value at scale with flexibility and cost efficiency. The company emphasizes AI-native thinking across all functions, seeking low-ego individuals who treat AI as a high-trust collaborator and move with an experimental mindset to discover simpler, more powerful solutions. REQUIREMENTS: - 8+ years of industry experience designing and building large-scale distributed systems platforms that accelerate product innovation - 2+ years of full-time Software Engineering Management experience - Strong passion for developer productivity and enabling engineers to succeed and grow in their careers - Experience with cloud-native architectures and serverless compute platforms (e.g., AWS Lambda, Azure Functions, Cloud Run functions, etc.)

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