Job Overview
Job description
- Salary:
- USD 160,000 - 230,000 per year
- Location:
- US-CA-Menlo Park, United States
- Work arrangement:
- On-site
Role Summary
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.
Responsibilities
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.
- How do you want to make your impact?
- For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com
Requirements
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 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.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
About the Company
ABOUT THE AI PRODUCTS TEAM
The AI Products team is part of the broader Marketplace & Collaboration organization and is focused on bringing AI products on top of Snowflake’s data and application platform to help customers discover, share, monetize, and act on data assets & applications more easily.
This team is building the connective tissue of the agentic enterprise: the infrastructure and product surfaces that allow Snowflake customers to seamlessly share datasets, semantic views, and applications, and make them discoverable and executable through Cortex Code, CoWork, and other agentic harnesses.
Our strategy is centered on evolving Snowflake Marketplace for the AI era, including packaging data and intelligence into ready-to-use agentic experiences, and enabling governed access patterns that let AI systems safely operate on enterprise data and applications.
AS A STAFF SOFTWARE ENGINEER ON AI PRODUCTS, YOU WILL
WHY JOIN THIS TEAM
This is a chance to shape how Snowflake customers expose data and applications to AI systems in a secure, governed, and highly usable way. The work sits at the intersection of platform engineering, product innovation, and AI transformation, and it directly influences how the Data Cloud evolves for the next generation of customers and builders.
- Role:
- Product Manager - Traffic & Networking
- Job Type:
- FullTime
Company profile
Snowflake
snowflake.comSnowflake provides the AI Data Cloud, a fully managed platform for AI, data engineering, applications and analytics that helps organizations unite siloed data and share it securely. Customers use it to ingest, process, analyze and model data and to build and share data and AI applications, including through Snowflake Marketplace. Thousands of organizations around the world rely on Snowflake, which is led by CEO Sridhar Ramaswamy and headquartered in San Mateo, California.
- Company Size
- 5,000 - 10,000 employees
- Headquarters
- San Mateo, California, United States
- Founded
- 2012
- Founders
- Benoît Dageville
- Funding Stage
- Public
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