Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 1 hour ago

Product Manager, AI Factories Spatial Planning Tool

DRIVENETS45 open roles

Where
Tel Aviv- Toha
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowProduct Manager, AI Factories Spatial Planning ToolDRIVENETS · Tel Aviv- Toha

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on DRIVENETS's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. DRIVENETS postings stay open a median of 19 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: first seen 1 hour ago

DRIVENETS median: 19 days open

The posting

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, 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: https://drivenets.com/company/

  • 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.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against DRIVENETS's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on DRIVENETS's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    DRIVENETS's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.