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Senior Product Manager, AI Data Center Planning
Not specifiedFull-timeProduct ManagementNetworking SoftwareData Center Infrastructure
Own the strategy and roadmap for a SaaS tool that helps customers plan AI data centers, design physical layouts and cabling, validate designs, and maintain 3D digital twins. Work with customers and cross-functional teams to turn real-world workflows into product capabilities.
Responsibilities
- Set product strategy, roadmap, and backlog; translate customer needs into requirements, user stories, API specifications, and acceptance criteria.
- Lead workflows for site and data hall layouts, rack placement, and equipment elevations, accounting for space, power, cooling, and floor loading.
- Develop physical network and cabling design capabilities, including cable plans, lengths, materials, and pathway capacity.
- Guide 3D modeling, CAD/BIM imports, reality capture, and maintenance of accurate as-built digital twins.
- Define design validation and scenario analysis for capacity, power, thermal headroom, expansion, and design rules.
- Align planned designs with the live orchestration environment and drive integrations with design and operations systems.
- Own the SaaS experience, including cloud delivery, collaboration, onboarding, and usage analytics.
- Conduct customer discovery, define success metrics, and lead demos and proof-of-concepts with customers.
- Support sales and customer-facing teams, and create technical content such as briefs, white papers, and conference talks.
Requirements
- At least 6 years in technology, including 3 or more years in software product management in data center design, DCIM, AEC/BIM, CAD, GIS, reality capture, or digital twins.
- Daily hands-on use of AI agent tools for research, specifications, analysis, prototyping, or workflow automation.
- Strong cloud product experience and knowledge of cloud architecture, scalability, security, and cost.
- Experience in physical space planning, data center or building design, mapping, geospatial systems, or 3D modeling of real-world environments.
- Understanding of 3D and spatial data, including models, point clouds, and coordinate systems.
- Understanding of AI data center infrastructure, including GPU rack power density, liquid cooling, and cluster layouts.
- Experience writing software product requirements, including API specifications, and using product analytics to guide decisions.
- Bachelor’s or master’s degree in computer science, computer or electrical engineering, another engineering field, or equivalent experience.
- Clear communication and ability to work with executives, engineers, and customers across geographies; travel as needed.
Nice to have
- Experience with multi-tenant SaaS, subscription pricing, product-led growth, or usage analytics.
- Hands-on data center design, power distribution, cooling, or structured cabling experience.
- Experience with CAD/BIM, reality capture, digital twin, simulation, DCIM, web 3D, or geospatial tools.
- Familiarity with data center networking and AI cluster fabrics.
- Experience building AI-assisted features into operations products.