Product Manager - Traffic & Networking
SnowflakeUS-CA-Menlo ParkPosted 19 March 2026
Job Description
Product Manager - Traffic & Networking
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
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.
AS A PRODUCT MANAGER AT SNOWFLAKE YOU WILL:
- 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.
OUR IDEAL PRODUCT MANAGER WILL HAVE:
- 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.
BONUS POINTS FOR THE FOLLOWING:
- 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 ar ... (truncated, view full listing at source)
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