Technical Platform Operations Lead — Sales AI Applications

NVIDIA
Pune
Workplace: RemoteFull timeFunction: Business OperationsExperience: 8+ yearsEducation: bachelorsSkills: ["Communication","Cross-functional alignment"]

Own end-to-end post-launch operations for Sales AI applications, ensuring availability, performance, reliability, security, and strong governance. Build processes for incident response, problem management, changes, and lifecycle planning while analyzing SLIs/SLOs, adoption metrics, alerts, and user feedback to prevent degradation and usage gaps. Partner with Sales, Product, Engineering, Data, Security, and IT to turn operational signals into prioritized improvements, automate operations with observability and self-service, and prepare new AI releases for production readiness.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Technical Platform Operations Lead — Sales AI Applications

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Own end-to-end post-launch operations for Sales AI applications, ensuring availability, performance, reliability, security, and strong governance. Build processes for incident response, problem management, changes, and lifecycle planning while analyzing SLIs/SLOs, adoption metrics, alerts, and user feedback to prevent degradation and usage gaps. Partner with Sales, Product, Engineering, Data, Security, and IT to turn operational signals into prioritized improvements, automate operations with observability and self-service, and prepare new AI releases for production readiness.
Location: Pune
Workplace: Remote
Employment Type: Full time
Job Function: Business Operations
Seniority: Mid level

Key Responsibilities

  • •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, coordinating timely recovery and lasting improvements.
  • •Analyze service indicators/objectives, adoption metrics, dashboards, alerts, and user feedback to identify risks, performance degradation, and usage gaps.
  • •Collaborate with partner teams to translate operational signals and user needs into prioritized improvements and roadmap inputs.
  • •Establish governance and automate operations with observability and self-service; prepare production AI releases with runbooks, monitoring, rollback plans, support models, and partner enablement.

Key Requirements

  • •8+ years 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/customer-facing systems.
  • •Strong understanding of cloud-native architectures, APIs, distributed systems, data pipelines, integrations, and enterprise software environments.
  • •Experience with reliability engineering practices such as SLIs/SLOs, observability, incident and problem management, root-cause analysis, and service continuity.
  • •Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field, or equivalent experience.
Experience:8+ yearsAIGenerative AIEnterprise applicationsCloud-native
Education:Bachelor's
Skills:CommunicationCross-functional alignment
Tech Stack:Cloud-native architecturesAPIsDistributed systemsData pipelinesIntegrationsObservabilityIncident managementProblem managementSLIsSLOsDashboardsAlertsAutomation

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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