Technical Platform Operations Lead – Sales AI Applications

Job not on LinkedIn

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

📊 Sales Operations

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Lead end-to-end post-launch operations for Sales AI applications, including availability, performance, support readiness, releases, upgrades, and lifecycle planning • Develop processes for incident response, problem management, changes, and issue resolution • Coordinate timely recovery and lasting operational improvements • Analyze service-level indicators and objectives, adoption metrics, dashboards, alerts, and user feedback to identify risks, performance degradation, and usage gaps • Translate operational signals and user needs into prioritized improvements and roadmap inputs with partner teams • Improve adoption and business value through usage analytics, enablement, feedback loops, and user experience enhancements • Establish governance practices for security, access controls, compliance, documentation, and platform support • Develop automation, observability, and self-service capabilities to simplify operations and reduce repetitive work and recurring incidents • Prepare new AI capabilities and releases for production with runbooks, monitoring, rollback plans, support models, and partner enablement • Communicate platform health and priorities to leadership and build alignment across partner teams

🎯 Requirements

• 8+ years of experience in technical operations, platform engineering, site reliability engineering, application operations, technical program management, or a related discipline • Experience owning production enterprise applications or platforms, including business-critical or customer-facing systems • Strong understanding of cloud-native architectures, APIs, distributed systems, data pipelines, integrations, and enterprise software environments • Experience applying reliability engineering practices, including service-level indicators and objectives, observability, incident and problem management, root-cause analysis, and service continuity • Experience establishing operational governance for security, access controls, releases, compliance, documentation, and audit readiness • Ability to use operational metrics, adoption data, and business outcomes—including Sales productivity, usage, and pipeline impact—to set priorities and communicate platform health to leadership • Excellent communication skills and ability to build alignment across Engineering, Product, Sales, and other partner teams • A bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent experience • Background with operating generative AI enterprise applications, including AI assistants, retrieval-augmented generation systems, agentic workflows, or Sales productivity tools • Experience supporting responsible AI controls, data privacy, access policies, auditability, and safe use of AI in business functions • Experience improving platform economics through cloud or AI cost visibility, usage optimization, capacity planning, or vendor and tool rationalization • Experience helping AI or enterprise platforms progress from launch to scaled adoption through effective operating models, self-service capabilities, and sustained reliability improvements

🏖️ Benefits

• NVIDIA is described as one of the technology world’s most desirable employers • Opportunity to shape and scale Sales AI applications and platforms • Opportunity to collaborate with Sales, Product, Engineering, Data, Security, and IT teams • Meaningful business problems and a fun work environment