Associate Product Manager leading digital transformation for Gartner’s Client Engagement Services using AI and automation. Collaborating with business, engineers, and designers to enhance client experiences.
About the role
- Product Manager at Snowflake focused on networking strategies for AI products. Define secure, reliable, high-performance connectivity at global scale across multi-cloud environments.
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.
Benefits
- health insurance
- retirement plans
- paid time off
- professional development
- flexible work arrangements
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