Job Title: Customer Engagement Manager – AI Data Centers

Location:
Mumbai / Hybrid. Department: Commercial & Client Solutions / Enterprise Delivery Reports To: AI Datacenter Head / SVP / Director of Customer Engagement & Commercial Delivery Position Overview We are seeking a technically adept, client-facing Customer Engagement Manager to serve as the primary strategic interface between our internal design, construction, and operations teams and our hyperscale / enterprise AI clients. You will lead the end-to-end customer journey—from technical deal structuring and site design customization through core & shell build tracking, liquid cooling layout sign-offs, and final data hall handover. This role requires an individual who can bridge the gap between high-level commercial relationship management and deep technical requirements for 100 kW to 150 kW+ per rack GPU deployments.

Key Responsibilities
1. Technical Client Onboarding & Design Alignment Requirement Translation: Act as the direct liaison between customer engineering teams and internal Design/MEP leads to translate high-density AI hardware roadmaps (NVIDIA H100/B200/GB200 clusters) into facility design specifications. Liquid Cooling & Density Sign-Offs: Guide clients through core & shell layouts, secondary fluid loop handoffs, CDU placement preferences, and in-rack power/cooling boundaries (100 kW–150 kW+ per rack). Service Level Agreements (SLAs): Co-author and refine technical SLAs, Power Usage Effectiveness (PUE) guarantees, and environmental operating parameters within customer leases. 2. Project Buildout & Delivery Governance Milestone Reporting: Provide enterprise clients with transparent progress updates across Civil/PEB milestones,



MEP fit-out, long-lead equipment delivery, and Level 1–5 commissioning sequences. Customer Change Management: Manage client-requested scope changes, evaluate cost and schedule impacts with the PMO team, and oversee execution of technical variation orders. Audit & Inspection Facilitation: Organize and lead client technical teams through factory acceptance testing (FAT), field site walk-throughs, and Level 5 Integrated Systems Testing (IST) validations. 3. Relationship Management & Retention Single Point of Contact (SPOC): Serve as the trusted single point of contact for customer escalations, schedule alignments, and operational readiness reviews. Post-Handover Transition: Facilitate smooth transitions from construction/commissioning leads to live facility operations teams, ensuring client fit-out and server rack deployment start on time. Qualifications & Requirements

Experience:
8–12+ years in technical customer account management, solutions engineering, or project delivery within hyperscale data centers or cloud infrastructure. Technical Core: Solid understanding of data center design, direct-to-chip liquid cooling, power distribution (UPS/Busways), and high-density AI rack specifications. Client Management: Proven track record managing C-suite, engineering, and procurement executives at major hyperscale (cloud) providers or large AI technology enterprises.

Education:
Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, or Business/Construction Management. Key

Skills:
SLA/MSA contract negotiation, technical client presentation, project progress reporting, change order negotiation, and cross-functional team leadership.

📌 Customer Engagement Manager – AI Data Centers (Mumbai)
🏢 HCLTech
📍 Mumbai