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Technical Platform Operations Lead — Sales AI Applications

India, Pune💼 Full-time🗓 2026-08-25 → 2026-09-25

Core

Lead end-to-end post-launch operations for Sales AI applications, ensuring reliability, security, governance, and continuous improvement while driving adoption and business impact.

Role type

Senior IC Technical Platform Operations Lead (Sales AI)

Builds

Sales AI applications and platforms

Domain

Enterprise AI / Sales Technology / Cloud-Native

Deliverable

production ML models | product features | dashboards & analysis | infrastructure

Required skills

end-to-end post-launch operations, incident and problem management, service-level objectives (SLOs), observability, operational governance, usage analytics, automation, release management, cloud-native architecture, distributed systems, data pipelines, enterprise software environments, root-cause analysis, service continuity, access controls, compliance, audit readiness, business outcome communication

Preferred skills

operating generative AI enterprise applications (AI assistants, RAG, agentic workflows), responsible AI controls and data privacy, platform economics optimization (cost visibility, capacity planning), scaling platforms from launch to adoption

Technologies

cloud-native architectures, APIs, distributed systems, data pipelines, integrations, enterprise software environments

Responsibilities

Lead end-to-end post-launch operations including availability, performance, support readiness, releases, upgrades, and lifecycle planning; Develop effective processes for incident response, problem management, changes, and issue resolution; Analyze service-level indicators, adoption metrics, dashboards, alerts, and user feedback to identify risks and gaps; Collaborate with partner teams to translate operational signals into prioritized improvements; Improve adoption through usage analytics, enablement, and UX enhancements; Establish governance practices for security, access controls, compliance, documentation, and platform support; Develop automation, observability, and self-service capabilities; Prepare new AI capabilities for production with runbooks, monitoring, rollback plans, and support models

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