Product Manager, AI Factories Spatial Planning Tool

DriveNets · telaviv

Description About DriveNets DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure. The Role DriveNets is seeking a Product Manager to own and extend the AI Factories Spatial Planning Tool, a SaaS product for planning and designing AI data centers. An AI data center is a physical puzzle at extreme density: thousands of GPU racks, megawatts of power, liquid and air cooling, cable pathways and tens of thousands of fiber runs – all of which must fit the building, and onto which the network design must map exactly. You will help customers plan, design, and validate AI Factories before they are deployed, and keep an accurate 3D digital twin of the site once it is running. As the Product Manager for the AI Factories Spatial Planning Tool, you will manage the product and drive its evolution across space planning, rack and row layout, physical network and cabling design, 3D modeling, reality capture of existing sites, and the digital twin. You will join the AI Factories Orchestration product team, a dedicated software product group within DriveNets Product Management. This is a SaaS product role: you will own a cloud product with its own users, workflows, and integrations. You will work with data center designers, engineering and construction partners, colocation providers, NeoClouds, and enterprises building AI Factories, and your work will directly determine how fast and how accurately they can go from an empty hall to a running GPU cluster. Responsibilities Own the product strategy and roadmap for the Spatial Planning Tool, extending its capabilities based on customer needs and market direction. Own the core design workflows: site and data hall layout, row and rack placement, and rack elevations for GPU, network, and storage equipment – validated against space, power, cooling (air and liquid), and floor-loading constraints. Own physical network and cabling design: map the logical AI fabric topology onto the physical floor, and generate cable plans, cable lengths, optics bill of materials, and pathway and tray fill. Drive the 3D model and digital twin: import of CAD / BIM models (e.g., Revit, IFC), 3D scanning and reality capture (LiDAR, point clouds, photogrammetry) of existing sites, and keeping the as-built twin in sync with the live environment. Define what-if analysis and design validation: capacity, power and thermal headroom, expansion phases, and automated design-rule checks before construction or deployment. Own the alignment between the planning tool and the DriveNets orchestration platform, so that designs and the live environment stay consistent. Drive integrations with the design and operations ecosystem: CAD / BIM tools, DCIM systems, simulation and digital twin platforms (e.g., OpenUSD / NVIDIA Omniverse, CFD tools). Own the SaaS experience: multi-tenant cloud delivery, collaboration and sharing, onboarding, and usage analytics. Run continuous discovery with data center designers, engineering and construction firms, colocation providers, and AI cloud operators, and turn their workflows into prioritized product requirements. Define and track product success metrics such as design cycle time, design-to-deployment errors, activation, retention, and customer satisfaction. Own the product strategy, roadmap, and backlog for your area, and translate customer problems into clear PRDs, user stories, API specifications, and acceptance criteria for engineering teams working in agile delivery. Design northbound APIs (REST/gRPC, OpenAPI) and SDKs so the platform can be consumed programmatically by customer portals, cloud control planes, and automation pipelines – not only through a UI. Lead demos and proof-of-concepts with customers, and support sales, solution architects, and customer success in strategic engagements. Create external content – white papers, technical briefs, blogs, conference talks – that balances technical accuracy with clear messaging. Requirements What we need to see Mandatory: daily, hands-on use of AI agentic tools (e.g., Claude / Claude Code, Cursor, ChatGPT / Codex, GitHub Copilot) as a core part of how you work – for research, writing PRDs and specs, data analysis, prototyping, and automating your own workflows. Be ready to show us how you use them. 6+ years in the technology industry,

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