Snowflake

Product Manager – Traffic & Networking

Snowflake

full-time

Posted on:

Location Type: Hybrid

Location: Menlo ParkCaliforniaWashingtonUnited States

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Salary

💰 $160,000 - $230,000 per year

About the role

  • 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.
Benefits
  • health insurance
  • retirement plans
  • paid time off
  • professional development
  • flexible work arrangements
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
networking strategylow-latency inferencehigh-throughput data pipelinestraffic engineeringload balancingservice meshmulti-cloud environmentsobservabilitydiagnosticsTCP/IP
Soft Skills
collaborationcommunicationstakeholder managementcustomer-first mindsetproblem-solvingleadershipclarity in complex environmentsperformance optimizationscalability trade-offscross-functional execution
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Engineering