Technical Platform Operations Lead — Sales AI Applications

NVIDIA

8+ yrs Pune Full Time Remote
NVIDIA logo
Posted : 2 weeks ago Actively Hiring

Job description

NVIDIA is a leader in computer graphics, gaming, AI, and accelerated computing. We are seeking a Technical Platform Operations Lead to join our team and significantly contribute to the expansion of Sales AI applications and platforms. This role offers a unique opportunity to define operational strategies for these solutions post-launch, ensuring their ongoing reliability, security, governance, widespread adoption, and continuous enhancement.

This position involves close collaboration with Sales, Product, Engineering, Data, Security, and IT departments. The aim is to bolster platform health, elevate the user experience, and maximize business impact.

Responsibilities

Lead comprehensive post-launch operations for Sales AI applications, encompassing availability, performance, support readiness, release management, upgrades, and lifecycle planning.

Develop robust processes for incident response, problem management, change control, and issue resolution, ensuring timely recovery and sustainable improvements.

Analyze service-level indicators and objectives, adoption metrics, dashboards, alerts, and user feedback to identify potential risks, performance declines, and usage gaps.

Partner with cross-functional teams to transform operational insights and user requirements into prioritized enhancements and roadmap contributions.

Drive platform adoption and business value through usage analytics, enablement programs, feedback mechanisms, and user experience optimizations.

Establish essential governance practices for security, access controls, compliance, documentation, and platform support.

Implement automation, observability, and self-service capabilities to streamline operations, reduce repetitive tasks, and minimize recurring incidents.

Prepare new AI capabilities and releases for production by creating runbooks, monitoring strategies, rollback plans, support models, and enablement materials for partners.

Qualifications

A minimum of 8 years of experience in technical operations, platform engineering, site reliability engineering, application operations, technical program management, or a closely related field is required.

Demonstrated experience managing production enterprise applications or platforms, including critical business systems or customer-facing solutions.

Proficiency in understanding cloud-native architectures, APIs, distributed systems, data pipelines, integrations, and enterprise software environments.

Experience applying reliability engineering principles such as service-level indicators and objectives, observability, incident and problem management, root-cause analysis, and service continuity.

Proven ability to establish operational governance covering security, access controls, release processes, compliance, documentation, and audit readiness.

Capability to leverage operational metrics, adoption data, and business outcomes—including sales productivity, usage, and pipeline impact—to inform priorities and communicate platform health to leadership.

Exceptional communication skills are essential for building consensus across Engineering, Product, Sales, and other partner teams.

A Bachelor’s degree in Computer Science, Engineering, Information Systems, or a comparable technical discipline, or equivalent practical experience, is necessary.

Essential Skills

Cloud-native architecturesAPIsDistributed systemsData pipelinesIntegrationsEnterprise softwareReliability engineeringService-level indicatorsService-level objectivesObservabilityIncident managementProblem managementRoot-cause analysisService continuitySecurity governanceAccess controlsRelease managementComplianceDocumentationAudit readinessOperational metricsAdoption dataBusiness outcomesCommunication skillsSales productivity

Good to Have

Generative AIAI assistantsRetrieval-augmented generationAgentic workflowsSales productivity toolsResponsible AIData privacyAI usage policiesAI auditabilityAI cost optimizationCloud cost visibilityUsage optimizationCapacity planningVendor rationalizationTool rationalizationAI platform scalingOperating modelsSelf-service capabilities

More Details

RoleTechnical Platform Operations Lead — Sales AI Applications
DepartmentProgram Management, Operations
Employment TypeFull Time, Remote

About the Company

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Nvidia

IT Consulting