Product Manager - Traffic & Networking

Snowflake•Menlo Park, CA

3d•$160,000 - $230,000

About The Position

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is transforming how the world uses data and AI — and the networking and traffic infrastructure that powers these experiences is mission-critical. As a Product Manager focused on Traffic & Networking, you will define how Snowflake delivers secure, reliable, and high-performance connectivity at global scale, including the networking foundations required to support AI-driven products and workloads. You will own the product vision and roadmap for internal traffic management, service-to-service networking, customer connectivity, and performance optimization across multi-cloud environments. A core part of this role is defining and evolving Snowflake’s network strategy to support AI products, including latency-sensitive inference, large-scale model training pipelines, vector search, streaming ingestion, and cross-region data movement. This is a high-impact role at the intersection of distributed systems, cloud networking, and AI infrastructure.

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.

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.