Data Center Tech PM: AI-Driven Ops & IT Lifecycle

Requirements8+ years of experience in product management or related roles in data center, infrastructure, or industrial environmentsProven experience delivering products in DCIM and at least two of the following: CMMS/EAM, BMS/SPoG, construction management, or lifecycle/portfolio management toolsDemonstrated success building and scaling data- and AI-driven products, including defining use cases, shaping data strategies, and driving adoptionStrong understanding of facilities infrastructure, including power and cooling systems, layouts, and capacity modelsTechnical fluency in data models, APIs, integrations, and analyticsStrong product management fundamentals: user research, problem framing, PRDs, experimentation, KPI design, and roadmap executionProven ability to align diverse stakeholders across operations, engineering, and corporate functionsExperience operating in fast-paced, high-stakes environments with strict uptime, safety, and capital constraintsBachelor's degree in engineering, computer science, business, or a related field (or equivalent experience)(Desirable) Hands-on experience with platforms such as Sunbird or Modius (DCIM), Ignition (BMS/SPoG), Hexagon or similar CMMS/EAM tools, and Procore, SiteTracker, or Primavera for construction management(Desirable) Familiarity with data center standards and compliance frameworks (e.g., ISO 22237, ISO 22301, SOC 2)(Desirable) Experience with digital twins, 3D visualization, or real-time telemetry systems in mission-critical environments(Desirable) Experience supporting multi-site rollouts, system migrations, or large-scale operational transformationsYou love working at the intersection of data center operations and technology platformsYou're curious about data, AI, and automation in infrastructure environmentsYou're an expert in product management for complex, cross-functional systemsWe believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience matchWhat the job involvesWe are seeking a Product Manager, Data Center Technology to define and deliver a scalable technology ecosystem for Data Center OperationsYou will own product strategy, roadmap, prioritization, and execution, translating complex cross-functional needs into solutions that improve uptime, incident response, maintenance planning, technician experience, safety, and workforce productivityThis role partners closely with Data Center Operations, Facilities Engineering, Construction, Portfolio Planning, EHS, Security, Supply Chain, Finance, and IT to align solutions with business objectivesYou will lead the end-to-end product lifecycle and deliver iterative, scalable platforms that enable operational excellence across the data center portfolioOwn the vision and roadmap for data center technology platforms, including DCIM, CMMS/EAM, BMS/SPoG, construction management, asset lifecycle, and workforce systems, aligned to business OKRsTranslate business goals into clear initiatives across first-party, third-party, and data/AI-driven solutions, with defined outcomes and success metricsMake build, buy, or extend decisions across internal systems and external tools, balancing ROI, TCO, scalability, and interoperabilityLead the end-to-end product lifecycle: discovery, user research, problem definition, PRDs, prioritization, release planning, launch, and continuous improvementDeliver iteratively using Agile principles, defining MVPs that unlock incremental value while building toward scalable platformsMaintain structured execution through tools such as Jira, with clear tracking, reporting, and delivery disciplinePartner with cross-functional stakeholders to ensure systems interoperate cleanly with clear systems of recordTranslate complex infrastructure concepts into intuitive workflows and product requirements for technicians and leadershipConduct field discovery at data center sites to identify inefficiencies and prioritize improvementsDefine data and telemetry strategies, including data models, integrations, and system-of-record decisionsEnable portfolio-level visibility through dashboards, KPIs, and digital twin capabilitiesDrive adoption of data, AI, and automation solutions by embedding insights into operational workflowsDefine and track KPIs such as MTTR/MTBF, maintenance compliance, backlog health, system adoption, telemetry coverage, construction schedule adherence, and capacity utilizationEstablish product operating rhythms, including intake, prioritization, roadmap reviews, and release communicationsStandardize templates and playbooks for site onboarding, asset standards, lifecycle workflows, and reportingStay current on industry trends and incorporate best practices into product strategyManage vendor relationships, including licensing, negotiations, and roadmap alignment#J-18808-Ljbffr