Top Tech Jobs & Startup Jobs in Chicago, IL

Own WEKA’s OEM alliance portfolio across North America, managing strategic relationships with partners including Dell, AMD, HPE, Cisco, Hitachi, Lenovo, and Supermicro. Develop joint go-to-market strategies, enable partner sales teams, build executive alignment, generate pipeline, support co-selling, and represent WEKA at industry events. The role focuses on positioning WEKA’s AI infrastructure and storage platform across partner ecosystems while creating integrated customer opportunities.

Own WEKA’s North American ISV alliance portfolio across the AI/ML ecosystem. Develop joint go-to-market strategies, integrations, enablement programs, executive relationships, co-selling motions, and pipeline opportunities. Position WEKA as the data platform for AI software stacks while coordinating with product, engineering, sales, marketing, OEM, cloud, and technology partners to deliver validated solutions and revenue growth.

Manage WEKA’s North American ISV alliance portfolio across AI/ML, cloud, data, and Kubernetes ecosystems. Develop joint go-to-market strategies, drive co-selling and pipeline, secure executive alignment, and create revenue opportunities. Coordinate technical integrations, certifications, marketplace listings, and reference architectures with product and engineering teams. Deliver partner enablement, identify cross-partner solutions, and represent WEKA at industry events and executive briefings.

The Senior Product Manager will define and manage the roadmap for WEKA appliances, liaise with ecosystem partners, and ensure product delivery while maintaining market insights and collaboration with sales and engineering teams.

Own the AMG product roadmap for NeuralMesh: define KV-cache/prefix-cache offload, memory tiering, and integrations with inference engines and orchestration. Translate GPU/memory/network tradeoffs into product requirements, validate benchmarks with enterprise customers and GPU-cloud partners, partner with NVIDIA for certifications, and support sales with technical positioning to reduce cost-per-token and improve inference SLAs at scale.

Lead and own end-to-end LLM inference infrastructure, direct a small engineering squad, design and deliver high-throughput low-latency serving systems, remain hands-on (Python/C++/CUDA), solve inference-scale problems (KV caching, RDMA, NVMe, multi-tier GPU memory), and mentor engineers.

Lead alliance strategy across enterprise AI infrastructure, manage partnerships, define solution architectures, and drive GTM enablement while representing the company in industry events.