Product Manager - Traffic & Networking

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.

Nice-to-Haves

• Experience supporting AI/ML platforms, including inference services, model serving, or GPU-accelerated workloads.
• Familiarity with cloud networking constructs (AWS, Azure, GCP), private connectivity, and cross-region architectures.
• Experience with service mesh technologies (e.g., Envoy, Istio), traffic shaping, or network observability platforms.
• Background working with security or platform teams on zero-trust networking models.