Senior Developer Relations Manager

Overview

• NVIDIA is powering the AI transformation of every industry through accelerated computing, AI software, cloud-to-edge platforms, simulation, and full-stack AI infrastructure.
• This role will lead NVIDIA's strategic partner engagement with India's major conglomerates, helping them identify, build, and scale AI workloads across business units.
• The ideal candidate is a senior technical business leader who understands enterprise transformation, industrial workloads, cloud and data center infrastructure, and strategic account orchestration.
• This person will work across NVIDIA sales, product, engineering, solution architecture, software, marketing, and partner teams to turn executive-level interest into deployable, scalable AI outcomes.
• What You'll Be Doing: Build and execute a strategic engagement plan for major Indian conglomerates and industrial AI accounts.
• Develop executive and technical relationships with CIOs, CTOs, business unit leaders, AI platform teams, innovation teams, and developers.
• Identify high-value workloads such as private AI, enterprise copilots, accelerated analytics, digital twins, simulation, predictive maintenance, industrial computer vision, and manufacturing intelligence.
• Help partners understand and adopt NVIDIA platforms across cloud, data center, edge, and industrial environments.
• Coordinate cross-functional NVIDIA teams around account strategy, technical enablement, executive engagement, and lighthouse opportunities.
• Run workshops, solution days, technical architecture reviews, and business-unit-specific enablement sessions.
• Develop repeatable use cases that can scale across multiple businesses within large groups.
• Capture account requirements, technical blockers, competitive dynamics, and product feedback for internal stakeholders.
• 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 ecosystem roles.
• Strong understanding of enterprise AI, 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 operating across complex matrixed organizations involving sales, technical, product, marketing, and partner teams.
• Strong commercial judgment, structured account planning skills, and ability to translate technical value into business outcomes.
• Excellent communication, stakeholder management, and execution skills.
• Working familiarity with NVIDIA AI Enterprise, NVIDIA NIM, Triton Inference Server, TensorRT, TensorRT-LLM, CUDA, NGC containers, NVIDIA GPU Operator, and cloud/data center deployment patterns.
• Ability to position NVIDIA software across private AI, industrial AI, digital twins, simulation, accelerated analytics, computer vision, and enterprise AI factory initiatives.
• Familiarity with NVIDIA Omniverse, Isaac Sim, and synthetic data or simulation workflows where they apply to manufacturing, automotive, infrastructure, and industrial digital twin use cases.
• Ability to connect the right NVIDIA platform components to business-unit workloads and explain implementation paths to both executive and technical stakeholders.
• Ways To Stand Out from the crowd: Experience with large Indian conglomerates or global strategic enterprise accounts.
• Knowledge of industrial AI, manufacturing systems, automotive technology, telecom infrastructure, digital twins, simulation, accelerated analytics, or private AI.
• Previous experience building joint solutions, executive programs, reference architectures, or multi-year strategic partnerships.
• 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.