Product Manager, AI Factories Spatial Planning Tool

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.

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, with at least 3 years as a product manager for software in data center design, DCIM, AEC / BIM, CAD, GIS and mapping, reality capture, or digital twin domains.
• Strong domain background in physical space: data center or building design, space planning, mapping and geospatial, or 3D modeling of real-world environments.
• Mandatory: strong cloud expertise – proven experience with products built and delivered on public cloud (AWS, Azure, or GCP), and a solid understanding of cloud architecture, scalability, security, and cost.
• Strong understanding of 3D and spatial data: 3D models, point clouds, coordinate systems, and the trade-offs of processing and rendering them in the cloud and in the browser.
• Solid understanding of AI data center physical infrastructure: GPU rack power density, liquid cooling, and how AI clusters are laid out on the floor.
• Proven experience writing clear product requirements for software platforms, with APIs as a first-class part of the product.
• Strong data-driven decision making, with a proven ability to define success metrics and act on product analytics.
• Clear written and verbal communication, with the ability to work with executives, engineers, and customers alike.
• Ability to manage shifting priorities in a fast-paced environment and to work with teams across geographies.
• Travel as needed.

Ways to stand out from the crowd

• SaaS product management experience: multi-tenant cloud products, subscription pricing, product-led growth, and usage analytics.
• Hands-on data center design experience: white space planning, power distribution (UPS, PDU, busway), cooling (CRAH, CDU, direct-to-chip liquid cooling), and structured cabling standards (e.g., TIA-942).
• Experience with CAD / BIM tools and formats such as Revit, AutoCAD, IFC, or OpenUSD.
• Experience with reality capture and 3D scanning: LiDAR, laser scanning, photogrammetry, and tools such as NavVis, Matterport, Leica, or FARO.
• Experience with digital twin, simulation, or DCIM platforms (e.g., NVIDIA Omniverse, Cadence Reality DC, Sunbird, Nlyte, Schneider EcoStruxure).
• Familiarity with web 3D and geospatial technologies such as WebGL, three.js, or Cesium.
• Familiarity with data center networking: leaf/spine and Clos topologies, BGP/EVPN-VXLAN, RoCEv2, and AI scale-out / scale-up fabrics (Ethernet, UEC, InfiniBand, NVLink).
• Experience building AI-assisted features (copilots, natural-language queries, AIOps) into an operations product.

Education

BS/MS in Computer Science, Computer/Electrical Engineering, or another engineering field, or equivalent experience.

If your experience is close but doesn’t fulfill all requirements, please apply. DriveNets is on a mission to build a special company comprised of individuals with different backgrounds, perspectives, and experiences.

More About DriveNets

Based in Israel with locations in Romania, US, India and Japan as well as extended teams, DriveNets operations cover more than twelve countries. With recognition by industry analysts and through partnerships with market leaders such as AMD, Broadcom, Dell and others, DriveNets is pushing market momentum, delivering the scale and efficiency that modern AI workloads demand. Visit our website:

• DriveNets is an equal opportunity employer. We do not discriminate based upon race, religion, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics.