Lambda is looking to define and scale the networking backbone of their AI Cloud to support massive AI deployments and high-performance computing workloads.
Requirements
- 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 InfiniBand, RDMA/RoCE, and high-performance Ethernet.
- Strong technical fluency; able to collaborate directly with engineers and architects on design, tradeoffs, and performance.
- 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).
Responsibilities
- 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.
- Lead the evolution of InfiniBand (HDR/NDR), RoCE/RDMA, and low-latency Ethernet features to optimize distributed training and inference at scale.
- Build private, reliable, and secure networking for enterprise and hybrid environments — from subnets and routing to NAT, peering, and global traffic management.
- Drive encryption in transit, DDoS mitigation, observability, and enterprise compliance across all networking offerings.
- 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.
Other
- 10-12+ years of product management experience, with significant focus on networking or cloud infrastructure.
- 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.
- Note: This position requires presence in our San Francisco/San Jose/Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
