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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management for AI-driven spatial planning tools, with a strong focus on data center design, cloud architecture, and 3D modeling. Proficient in translating customer needs into actionable product requirements and metrics while managing multi-tenant SaaS experiences.
Highest-signal resume keywords
Product Management ExperienceData Center Design ExpertiseCloud Architecture Knowledge3D Modeling ProficiencySaaS Product Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
AI Agentic ToolsProduct Requirements WritingREST/gRPC and OpenAPI Design3D ModelingData-Driven Decision MakingSpace PlanningCabling DesignDigital Twin PlatformsReality Capture TechniquesCloud Product Development
Soft Skills
Clear CommunicationAdaptabilityCollaborationCustomer EngagementProblem-Solving
Tools & Technologies
CAD/BIM ToolsAWSAzureGCPLiDARAutoCADRevitMatterportNavVisWebGL
Certifications & Qualifications
BS/MS in Computer ScienceComputer/Electrical Engineering
Industry Keywords
Data Center DesignDigital TwinDCIMAEC/BIMGeospatial MappingAI InfrastructureSaaSSubscription PricingProduct-Led Growth3D Scanning
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformGRPCJavaScript
About the role
Key responsibilities & impact- Own the product strategy, roadmap, and backlog for the AI Factories Spatial Planning Tool
- Extend product capabilities based on customer needs and market direction
- Manage space planning, rack and row layouts, rack elevations, and design validation against space, power, cooling, and floor-loading constraints
- Own physical network and cabling design, including mapping logical AI fabric topology onto the physical floor
- Generate cable plans, cable lengths, optics bills of materials, and pathway and tray fill
- Drive 3D modeling and the digital twin using CAD / BIM imports, 3D scanning, reality capture, and live-environment synchronization
- Define what-if analysis and design validation for capacity, power and thermal headroom, expansion phases, and automated design-rule checks
- Align the planning tool with the DriveNets orchestration platform
- Drive integrations with CAD / BIM, DCIM, simulation, and digital twin platforms
- Own the multi-tenant SaaS experience, collaboration, sharing, onboarding, and usage analytics
- Conduct continuous discovery with data center designers, engineering and construction firms, colocation providers, and AI cloud operators
- Translate customer workflows into prioritized product requirements
- Define and track metrics including design cycle time, design-to-deployment errors, activation, retention, and customer satisfaction
- Translate customer problems into PRDs, user stories, API specifications, and acceptance criteria for agile engineering teams
- Design REST/gRPC and OpenAPI northbound APIs and SDKs
- Lead customer demos and proof-of-concepts
- Support sales, solution architects, and customer success in strategic engagements
- Create white papers, technical briefs, blogs, and conference talks
Requirements
What you’ll need- Mandatory daily, hands-on use of AI agentic tools such as Claude / Claude Code, Cursor, ChatGPT / Codex, or GitHub Copilot
- 6+ years in the technology industry
- 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, including data center or building design, space planning, mapping and geospatial, or 3D modeling of real-world environments
- Strong cloud expertise with proven experience building and delivering products on AWS, Azure, or GCP
- Understanding of cloud architecture, scalability, security, and cost
- Strong understanding of 3D and spatial data, including 3D models, point clouds, and coordinate systems
- Understanding of AI data center physical infrastructure, GPU rack power density, liquid cooling, and AI cluster floor layouts
- Proven experience writing clear product requirements for software platforms with APIs as a first-class part of the product
- Proven data-driven decision making and ability to define and act on product analytics
- Clear written and verbal communication
- Ability to manage shifting priorities in a fast-paced environment and work with teams across geographies
- Ability to travel as needed
- BS/MS in Computer Science, Computer/Electrical Engineering, another engineering field, or equivalent experience
- SaaS product management experience, multi-tenant cloud products, subscription pricing, product-led growth, and usage analytics
- Hands-on data center design experience, including white space planning, power distribution, cooling, and structured cabling standards
- Experience with CAD / BIM tools and formats such as Revit, AutoCAD, IFC, or OpenUSD
- Experience with reality capture and 3D scanning, including LiDAR, laser scanning, photogrammetry, NavVis, Matterport, Leica, or FARO
- Experience with digital twin, simulation, or DCIM platforms
- Familiarity with WebGL, three.js, or Cesium
- Familiarity with data center networking, including leaf/spine and Clos topologies, BGP/EVPN-VXLAN, RoCEv2, and AI scale-out / scale-up fabrics
- Experience building AI-assisted features into an operations product
Benefits
Comp & perks- Equal opportunity employment
- SaaS product role with cloud product ownership
- Travel as needed