Job Title: Product Manager - AI Cloud Services
Location: Noida
Experience: 10 - 16 Yrs
The Role
The AI Product Management role owns the strategy, standardization, and evolution of AIready infrastructure services, with a strong focus on GenAI compute platforms built on NVIDIA, Intel, and AMD. The role oversees the full product lifecycle, developing catalogbased offerings, defining service tiers, and enabling automationfirst, selfservice workflows across GPU clusters, storage, data platforms, and MLOps ecosystems. PMG leads blueprintdriven architecture, integrates AI/ML/LLM Ops tooling and accelerators, and establishes unified governance to ensure secure, consistent, and costoptimized AI environments.
By staying aligned with nextgeneration hardware and evolving workload demands, PMG ensures delivery of scalable, productionready, and commercially competitive AI infrastructure solutions
Key Responsibilities:
- Own the strategy, standardization, and continuous evolution of AIready and GenAI infrastructure services.
- Drive the product roadmap and full lifecycle management of AI infrastructure offerings.
- Develop catalogbased AI offerings with clear service tiers.
- Define automationfirst, selfservice workflows across GPU clusters, storage, data platforms, and MLOps environments.
- Lead blueprintdriven architecture for scalable, secure, and productionready AI environments.
- Integrate AI/ML/LLM Ops tooling, accelerators, and NextGen compute technologies (NVIDIA, Intel, AMD).
- Establish unified governance frameworks to ensure security, consistency, and lifecycle management across AI environments.
- Ensure costoptimized utilization, performance efficiency, and reliability across locations.
- Work closely with engineering, OEMs, partners, cloud business units, presales, sales, and marketing to accelerate development and adoption of offerings.
- Align stakeholders to support smooth rollout, integration, and expansion of AI capabilities.
- Maintain offerings aligned with emerging hardware, evolving workloads, and platform advancements.
- Ensure solutions remain commercially competitive, scalable, and enterpriseready.
- Demonstrate strong communication, coordination, and presentation skills to translate technical capabilities into business value.
- Represent PMG in technical and business discussions to drive clarity, adoption, and execution.
Qualifications & Experience
- 48+ years of experience in Product Management, Infrastructure Engineering, or AI/Cloud Platforms, ideally in largescale enterprise environments.
- Strong experience managing endtoproduct lifecycles, from conceptualization to rollout and commercialization.
- Experience with AI/ML infrastructure, including GPU clusters, storage systems, networking, Data Platforms, Infra Software/Services and basic of LLM/ML software & Tools
- Prior exposure to GenAI platforms, Storage, Networking, AI Data center readiness, and ecosystem tools (NVIDIA NVAIE, NeMo, NIM; Azure/AWS/GCP AI platforms; data platforms).
- Experience working with OEMs (NVIDIA/Intel/AMD) and cloud providers on solution engineering or coinnovation initiatives.
- Strong capability in stakeholder management, working with engineering, OEM partners, cloud business units, pre-sales, sales, and marketing.
- Excellent communication, coordination, and presentation skills; ability to translate technical concepts into clear business value.
- Ability to operate in fastmoving environments and align teams toward delivery of scalable, productionready AI solution
Specifics:
- Own and evolve the AI product strategy
- Architect scalable, automated, and governed AI infrastructure
- Drive crossfunctional alignment and ecosystem collaboration
