Senior Developer Relations Manager

United States Digital Space LLC; Maharashtra; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

United States Digital Space LLC is seeking a senior strategic partnerships leader to drive engagement with India's major conglomerates, shaping AI workloads across business units. You will work across sales, product, engineering, solution architecture, software, marketing, and partners to translate executive interest into deployable AI outcomes.

The ideal candidate will have deep experience in enterprise transformation, cloud infrastructure, and solution orchestration, with a proven track record

Qualifications

• Bachelor's degree in engineering, computer science or related technical discipline, or equivalent experience.
• 10+ years in strategic partnerships, enterprise technology, solution architecture, or related roles.
• Strong understanding of enterprise AI, cloud infrastructure, and AI deployment lifecycles.
• Ability to engage senior executives and hands-on engineering teams with credibility.
• Experience navigating complex matrixed organizations across sales, product, marketing and partner teams.

Responsibilities

• Build and execute a strategic engagement plan for major Indian conglomerates and industrial AI accounts.
• Develop executive and technical relationships with CIOs, CTOs and business unit leaders.
• Identify high-value workloads such as private AI, digital twins, and industrial AI workloads.
• Help partners adopt company platforms across private cloud, data center, edge, and industrial environments.
• Coordinate cross-functional teams around account strategy, enablement, and lighthouse opportunities.
• Run workshops, architecture reviews, and business-unit enablement sessions.
• Develop repeatable use cases scalable across large groups.
• Capture requirements, blockers, and feedback for internal stakeholders.

Skills

Strategic partnerships

Enterprise technology

Solution architecture

Technical sales

Business development

Product management

Developer ecosystem

Education

Bachelor's degree in engineering, computer science, business technology, or related technical discipline

Tools

NIM

TensorRT

CUDA

NGC containers

Job description

the company 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 the company'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 the company 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 the company platforms across cloud, data center, edge, and industrial environments.
• Coordinate cross-functional the company 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 the company AI Enterprise, the company NIM, Triton Inference Server, TensorRT, TensorRT-LLM, CUDA, NGC containers, the company GPU Operator, and cloud/data center deployment patterns.
• Ability to position the company software across private AI, industrial AI, digital twins, simulation, accelerated analytics, computer vision, and enterprise AI factory initiatives.
• Familiarity with the company 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 the company 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 the company AI, data center, simulation, edge, or enterprise software platforms.
• Ability to create lighthouse use cases that can scale across multiple business units.