Product Manager at Snowflake focused on networking strategies for AI products. Define secure, reliable, high-performance connectivity at global scale across multi-cloud environments.
Responsibilities
Define the networking strategy required to support Snowflake’s AI products, including low-latency inference paths, high-throughput data pipelines, GPU-adjacent services, and elastic scaling for AI workloads.
Partner with AI platform, compute, and storage teams to ensure networking capabilities meet the performance, isolation, and reliability needs of emerging AI use cases.
Drive architectural decisions around traffic engineering, load balancing, service mesh, regional and cross-region routing, and failure handling in multi-cloud environments.
Identify and prioritize networking innovations that improve tail latency, throughput, and cost efficiency for both traditional analytics and AI workloads.
Define customer-facing networking capabilities and abstractions that make it easy for customers to deploy secure, high-performance AI workloads on Snowflake.
Improve observability and diagnostics for network performance, enabling customers and internal teams to understand and optimize AI and data workloads.
Partner closely with security teams to ensure networking features align with enterprise requirements for isolation, encryption, access control, and zero-trust architectures.
Lead cross-functional execution across infrastructure, AI, security, and go-to-market teams, driving clarity in complex, deeply technical problem spaces.
Communicate roadmap, trade-offs, and outcomes effectively to senior leadership and key stakeholders.
Requirements
2+ years of product management experience or a role in a similar capacity in infrastructure, networking, distributed systems, or cloud platforms.
Strong understanding of networking fundamentals including TCP/IP, DNS, load balancing, routing, service mesh, private link and multi-cloud connectivity.
Experience building or operating platforms that support latency-sensitive or high-throughput workloads, such as AI inference, streaming, or real-time systems.
Ability to collaborate deeply with engineers on architectural design, performance optimization, and scalability trade-offs.
Customer-first mindset with the ability to translate complex infrastructure challenges into intuitive product experiences.
Excellent communication and stakeholder management skills in highly technical environments.
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
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