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.
If you'd like to build the world's best AI cloud, join us.
*Note: 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.
Role Summary
We are seeking a 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 InfiniBand, 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.
What You’ll Do
Drive Core Services Platform: Build a robust networking foundation capable of supporting the full spectrum of Lambda’s offerings—from managed public cloud services to bespoke private cloud environments. You will champion the “build once, scale everywhere” philosophy, driving synergies.
Drive and own relationship with our Super Intelligence customers by bridging the pre-sales to post-sales lifecycle partnering cross-functionally with engineering, finance, and marketing.
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 InfiniBand (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.
You:
8+ years of product management experience. Direct networking experience is not mandatory but the candidate must have significant experience working in product management within cloud infrastructure or high-performance computing (HPC) environments with a focus on platform services.
Deep understanding of HPC/AI networking, including InfiniBand, 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 enterprise-facing platforms at scale with measurable adoption and reliability outcomes.
Nice to Have
Hands-on experience with Kubernetes networking at scale.
Familiarity with SmartNICs, 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).
Salary Range
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.
About Lambda
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-Tel (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: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Top Skills
What We Do
Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU workstations and servers. Our products power engineers and researchers at the forefront of human knowledge. Customers include Microsoft, MIT, Los Alamos National Lab, Disney, Tencent, Kaiser Permanente, Stanford, Harvard, Caltech, and the Department of Defense.
