Principal Product Manager – Networking

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Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

$/yr - $/yr

• This position requires presence in our San Francisco, San Jose, or upcoming Bellevue office location 4 days per week;
  Lambda’s designated work from home day is currently Tuesday.

We are seeking a Principal Product Manager – Networking to define and scale the networking backbone of Lambda’s AI Cloud. This role covers critical services such as Direct Connect, Virtual Private Cloud (VPC), and Load Balancing, while advancing high-performance networking for AI and HPC workloads using Infini Band, RDMA, and low-latency Ethernet.

As the networking PM, you will shape the services that connect customers securely and efficiently to Lambda, enable distributed training across thousands of GPUs, and ensure the reliability and performance needed for enterprise adoption. This is a principal-level role with broad technical and strategic impact across Lambda’s cloud platform.

• Design Lambda’s Networking Backbone: own the strategy and roadmap for core connectivity services including Direct Connect, Virtual Private Cloud (VPC), and Load Balancers, ensuring secure, high-performance networking that rivals hyperscalers.
• Advance High-Performance AI Networking: lead the evolution of Infini Band (HDR/NDR), RoCE/RDMA, and low-latency Ethernet features to optimize distributed training and inference at scale.
• Deliver Enterprise-Grade Connectivity: build private, reliable, and secure networking for enterprise and hybrid environments — from subnets and routing to NAT, peering, and global traffic management.
• Ensure Security, Reliability & Compliance: drive encryption in transit, DDoS mitigation, observability, and enterprise compliance across all networking offerings.
• Partner Across Lambda & the Market: collaborate with engineering, infrastructure, and solutions teams to launch customer‑ready services, while engaging customers and benchmarking against hyperscalers to shape Lambda’s differentiated roadmap.

• 10-12+ years of product management experience, with significant focus on networking or cloud infrastructure.
• Proven experience owning networking services (Direct Connect, VPC, Load Balancers) in a cloud, hyperscaler, or large‑scale infrastructure environment.
• Deep understanding of HPC/AI networking, including Infini Band, RDMA/RoCE, and high‑performance Ethernet.
• Strong technical fluency; able to collaborate directly with engineers and architects on design, tradeoffs, and performance.
• Excellent communication and storytelling skills, with the ability to translate networking capabilities into customer value.
• Track record of launching and scaling customer‑facing networking products with measurable adoption and reliability outcomes.

• Hands‑on experience with Kubernetes networking at scale.
• Familiarity with Smart
  
  NICs, DPUs, or advanced offload technologies.
• Background in AI or HPC workload optimization and distributed systems.
• Exposure to storage networking (e.g., NVMe‑oF over RDMA).

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

• Founded in 2012, with 500+ employees, and growing fast.
• Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In‑Q‑T (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove.
• We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG.
• Our values are publicly available:…