Senior Developer Relations Manager - Conglomerates

NVIDIA · Mumbai

Source and collection record

Last observed by our collector: 8 October 2026 at 10:51 pm IST. This is not a manual review or a confirmation from the employer.

Job type and experience labels are automated discovery categories. The employer determines eligibility. Retained employer experience wording: 10+ years.

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Retained employer experience wording: 10+ yearsAttendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

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Collected role description

requirements for NVIDIA product and engineering teams. What We Need To See: Bachelor’s degree in engineering, computer science, business technology, or a related technical discipline—or equivalent experience. 10+ years of experience in strategic partnerships, enterprise technology, solution architecture, technical sales, business development, product management, or developer ecosystems. Strong knowledge of enterprise and private AI, cloud infrastructure, data platforms, modern application architecture, and AI deployment lifecycles. Ability to engage senior executives and hands-on engineering or architecture teams with equal credibility. Experience working across complex, matrixed organizations involving sales, technical, product, marketing, and partner teams. Strong commercial judgment, structured account planning, and the ability to translate technical capabilities into measurable business outcomes. Excellent communication, stakeholder management, cross-functional collaboration, and execution skills. Working knowledge of NVIDIA AI Enterprise, NIM, Triton, Tensor RT, Tensor RT-LLM, CUDA, NGC, GPU Operator, and cloud and data-center deployment patterns. Ability to position NVIDIA technologies across private AI, industrial AI, digital twins, simulation, accelerated analytics, computer vision, and enterprise AI factories. Familiarity with Omniverse, Isaac Sim, and synthetic-data workflows, with the ability to map NVIDIA platform components to business workloads and explain implementation paths to executive and technical audiences. Ways To Stand Out from the Crowd: Experience with large conglomerates or global strategic enterprise accounts. Knowledge of industrial AI, manufacturing systems, automotive technology, telecom infrastructure, digital twins, simulation, accelerated analytics, or private AI. Prior experience shaping executive or business-unit adoption plans around NVIDIA AI, data center, simulation, edge, or enterprise software platforms. Ability to create lighthouse use cases that can scale across multiple business units. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

Collected experience requirement

10+ years