Job Summary
T We are HCLTech We are one of the fastest-growing large tech companies in the world and home to 220,000+ people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud. The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be. If all this sounds like an environment you’ll thrive in, then you’re in the right place. Join us on our journey in advancing the technological world through innovation and creativity. Product Manager – AI Factory The Role The Product Manager - AI Factory is responsible for defining, owning, and scaling the AI Factory platform across AI infrastructure, AI platforms, and the operating model for enterprises. This role defines the product lifecycle, vision, and roadmap for building a scalable, secure, and cost-efficient AI Factory that enables enterprises to achieve autonomous AI at scale. This role acts as the bridge between the AI CoE, Hybrid Cloud pre-sales, customers, and ecosystem partners to ensure AI infrastructure investments translate into measurable business value. Competency Focus: AI Factory Product Vision and Strategic Leadership, Ecosystem & Partner Management, AI adoption enablement, AI Infra building blocks, AI Platform & Operating Models Keywords: AI Factory, AI Platform, GPU Platforms/ AI Accelerators, AI Governance, NVIDIA AI Stack, Product Strategy, Product Roadmap, AI Infrastructure, AI Business Case, Edge AI Responsibilities Define and evolve the AI Factory vision, strategy, and multi-year roadmap aligned to Hybrid Cloud priorities, customer AI maturity stages, and emerging technology trends to ensure long-term platform relevance and differentiation. Identifying diverse enterprise AI and GenAI use cases and drive translation of these into standardized, reusable platform capabilities, identifying common delivery patterns that can be converted into templates, accelerators, and repeatable AI workflows. Drive detailed product requirements spanning AI infrastructure, GPU and accelerator platforms, Kubernetes-based orchestration, model training, inference, and serving stacks to enable scalable, high-performance AI environments. Work with CoE to establish reference architectures, deployment blueprints, and validated design patterns that enable consistent, secure, and repeatable AI Factory implementations across hybrid, multi-cloud, and edge customer landscapes. Collaborate closely with CoE, architecture, security, and operations teams to convert vision into deliverables Work with sales, pre-sales, and enterprise customers to align AI Factory capabilities with business outcomes, performance SLAs, ROI expectations, and real-world AI adoption challenges. Own the end-to-end product lifecycle from concept to general availability, large-scale adoption, continuous optimization, and measurable value realization across programs. Define commercialization and consumption models including pricing strategies, and capacity constructs. Build and manage strategic partnerships with OEMs( Dell , HPE, VMware, Nutanix etc) ISV
Key Responsibilities
2. To Oversee The Creation And Formalization Of Case Studies, Ensuring They Are Suitably Developed Into Gtm Collateral To Effectively Illustrate Success Stories And Testimonials.
3. To Gather Insights On Prevailing Industry Developments And Analyze Competitor Strategies And Specific Account Details To Inform Business Decisions.
4. To Collaborate With Sales Team (Hunting & Farming) On Key Focus Areas & Customer Profiles.
5. To Implement Improvements Based On The Evaluation To Enhance The Effectiveness And Relevance Of Collateral, Ensuring It Meets Market Demands And Supports Business Growth.