Technical Platform Operations Lead – Sales AI Applications

This is a fully remote position, open to applicants in India.

📋 Description

• Oversee comprehensive post-launch operations for Sales AI applications, encompassing availability, performance, support readiness, releases, upgrades, and lifecycle management.

• Create processes for incident response, problem management, changes, and resolution of issues.

• Ensure timely recovery and implement enduring operational enhancements.

• Evaluate service-level indicators and objectives, adoption metrics, dashboards, alerts, and user feedback to pinpoint risks, performance issues, and usage gaps.

• Convert operational signals and user requirements into prioritized enhancements and roadmap contributions in collaboration with partner teams.

• Enhance adoption and business value through usage analytics, enablement initiatives, feedback mechanisms, and improvements in user experience.

• Establish governance protocols for security, access controls, compliance, documentation, and platform support.

• Create automation, observability, and self-service functionalities to streamline operations and minimize repetitive tasks and recurring incidents.

• Prepare new AI features and releases for production by developing runbooks, monitoring systems, rollback strategies, support frameworks, and partner enablement.

• Communicate platform health and priorities to leadership while fostering alignment across partner teams.

⛳️ Requirements

• A minimum of 8 years of experience in technical operations, platform engineering, site reliability engineering, application operations, technical program management, or a comparable field.

• Proven experience managing production enterprise applications or platforms, including those that are business-critical or customer-facing.

• In-depth knowledge of cloud-native architectures, APIs, distributed systems, data pipelines, integrations, and enterprise software environments.

• Experience in implementing reliability engineering practices, including service-level indicators and objectives, observability, incident and problem management, root-cause analysis, and service continuity.

• Proficiency in establishing operational governance concerning security, access controls, releases, compliance, documentation, and audit preparedness.

• Capability to utilize operational metrics, adoption data, and business outcomes—including Sales productivity, usage, and pipeline impact—to prioritize tasks and convey platform health to leadership.

• Exceptional communication skills with the ability to foster alignment among Engineering, Product, Sales, and other partner teams.

• A bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline, or equivalent experience.

• Experience operating generative AI enterprise applications, including AI assistants, retrieval-augmented generation systems, agentic workflows, or Sales productivity tools.

• Familiarity with supporting responsible AI controls, data privacy, access policies, auditability, and the safe application of AI in business functions.

• Expertise in enhancing platform economics through visibility into cloud or AI costs, usage optimization, capacity planning, or vendor and tool rationalization.

• Experience in guiding AI or enterprise platforms from launch to scaled adoption through effective operating models, self-service capabilities, and ongoing reliability improvements.

🏝️ Benefits

• NVIDIA is recognized as one of the most sought-after employers in the technology sector.

• Opportunity to influence and expand Sales AI applications and platforms.

• Chance to collaborate with Sales, Product, Engineering, Data, Security, and IT teams.

• Engage with meaningful business challenges in a dynamic and enjoyable work environment.