Principal Product Manager

Who you are

• Leadership Skills: Strong leadership skills with a history of successfully leading cross-functional teams. Product Managers are expected to inspire and motivate team members to achieve ambitious goals while maintaining a collaborative and positive working environment. You understand how to influence without authority, and your recall of meaningful details supports verbal and written agility
• Strategic Vision: You are a strategic thinker who can develop and execute product strategies that align with market trends and customer needs, as well as think critically about existing strategies. You have a proven ability to translate strategic goals into actionable plans and deliver results
• Communication Skills: You have excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. You are comfortable presenting product strategies and roadmaps to internal teams and external customers
• Inference ecosystem depth: hands-on product or engineering experience with LLM inference serving — vLLM, NVIDIA Triton/TensorRT-LLM/NIM, Ray Serve, or comparable — and fluency in concepts like KV-cache, prefix/context caching, quantization, and batching strategies
• Model & systems familiarity: working knowledge of how modern LLMs are served in production (context windows, multi-tenant serving, GPU scheduling) well enough to translate model-level constraints into infrastructure requirements
• Networking/infrastructure fluency: comfort with the fundamentals of high-performance networking and distributed systems — RDMA, GPUDirect Storage, NVMe-oF, or equivalent — and how they affect inference performance
• Enterprise customer experience: track record working directly with large enterprise accounts — requirements gathering, production deployments, SLAs — not solely self-serve/PLG products
• 10+ years of product management experience, ideally with some portion in infrastructure, ML platforms, or developer-facing technical products
• Prior experience at a GPU cloud, inference platform, or AI infrastructure startup
• Familiarity with storage systems (parallel/distributed file systems, object storage) in AI/ML pipelines
• Experience partnering directly with NVIDIA or other accelerator/silicon vendors
• If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA

What the job involves

• WEKA is looking for a Product Manager to own the roadmap and go-to-market for Augmented Memory Grid (AMG), part of the NeuralMesh platform. This is a deeply technical PM role sitting at the intersection of AI inference infrastructure, high-performance networking, and enterprise storage
• You will work directly with engineering, GPU/inference partners (NVIDIA, hyperscalers, GPU clouds), and enterprise customers running large-scale LLM inference to define what AMG needs to do next
• Own the AMG product roadmap: KV-cache/prefix-cache offload, memory tiering, and integration with inference engines and orchestration layers (vLLM, NVIDIA Triton/TensorRT-LLM/NIM, Kubernetes-based serving)
• Partner with engineering to define architecture trade-offs across GPU memory, networking (RDMA, GPUDirect, NVMe-oF), and distributed storage — translating inference performance bottlenecks (time-to-first-token, throughput, context length) into product requirements
• Work directly with enterprise customers and GPU cloud partners: Nebius, CoreWeave, TogetherAI, etc., running production inference workloads to gather requirements, validate benchmarks, and prioritize features that reduce cost-per-token and improve SLAs at scale
• Partner with NVIDIA and other silicon/inference-stack partners on joint roadmap and certification work
• Define and track benchmarks (TTFT, throughput, cache hit rate) that demonstrate AMG's value versus standard GPU-memory-only inference
• Support sales and field teams with technical positioning, competitive differentiation, and enterprise deal support

Benefits

• Care package received upon hire: backpack, multiple shirts etc.
• 401(k)
• Stock options available
• Cellular phone plan coverage
• On and off-location meal perks
• Dental, vision, life & disability insurance
• Work-related travel reimbursement
• Flexible spending account
• Parental leave
• Professional development assistance
• A tech stack with Laptop or PC of choice, up to 2 monitors, office phone, headset
• Work from home opportunities
• Health insurance
• Career development
• At least one offsite event per quarter with spontaneous office gatherings regularly