Product Manager – Data Center AI Smart Hands Service

About the job

Job Title: Product Manager – Data Center AI Smart Hands Service Location: Chennai, Noida, Hyderabad, Bangalore. Experience: 8years to 20 years. The Role This role owns the vision, strategy, and lifecycle of an AI-focused Smart Hands service tailored for high-density and GPU-based data centers. It defines standardized service tiers, SLAs, and pricing while incorporating capabilities such as AI ... rack support, liquid cooling assistance, and automated or assisted remote operations. The role works cross-functionally with delivery, automation, and sales teams to embed robotics, AR/VR guidance, and predictive maintenance into field operations, improving speed, quality, and consistency. It aligns the offering with hyperscale's and enterprise AI data center requirements and builds clear differentiators around performance and scalability. It continuously tracks operational KPIs and customer feedback to refine the service, enable global scale, and support go-to-market and presales activities with clear value propositions and repeatable delivery models. Key Responsibilities: • Own the end-to-end product lifecycle for AI DC Smart Hands offerings, from concept and validation to scale and continuous evolution. • Define global reference operating models for AI Smart Hands across hyperscale, enterprise, and colocation environments. • Lead product readiness for GTM, including enablement kits, sales playbooks, demo scenarios, and customer success metrics. • Drive product differentiation through automation, AR/VR-assisted workflows, and remote expert models. • Define product strategy, roadmap, SLAs, and pricing for standardized AI-ready Smart Hands and onsite support services. • Develop global service catalogues covering GPU rack support, high-density cabling, liquid cooling assistance, and lifecycle tasks. • Embed automation, robotics, and AR/VR guided workflows to improve speed, quality, and safety of field operations. • Align service constructs with hyperscale's and enterprise AI data center requirements and compliance expectations. • Define and track operational KPIs (FTR, SLA adherence, MTTR, utilization, CSAT) and drive continuous improvement actions. • Build differentiators around AI rack handling, rapid swap/repair, and RTE-based or remote-assisted delivery models. • Work with delivery, training, and automation teams to create playbooks, SOPs, and certification paths for technicians. • Support go-to-market and presales with value propositions, pricing guardrails, and reusable proposal content. • Manage lifecycle evolution of the offering based on field feedback, technology changes, and customer demand. Qualifications & Experience • 10-12 years across Data Center Ops/Smart Hands/Field Services with direct exposure to hyperscale's or AI‑DC environments. • Understanding of GPU‑based AI infrastructure (H100/H200/GB200), liquid cooling, dense cabling, white‑space operations. • Experience in service design, costing, catalog management, product lifecycle, and GTM enablement. • Familiarity with automation tools, AR/VR workflows, robotics, digital twins, and predictive maintenance systems. • Excellent stakeholder, cross‑functional, and customer‑facing capability. Specifics: • Product, not operations role. • Strong hyperscale's and AI-DC exposure mandatory. • Measured on product adoption, margin performance, customer outcomes, and differentiation.