openqareer

AI Operations & Growth Lead

Niuro · Удалённо · Remote

# AI Operations & Growth Lead **Niuro** · Remote · `Remote` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Get on Board (LATAM)* --- ### About the Role - Senior-level professional with 3-5 years of relevant experience in AI operations, automation, engineering, research, or a related field. - C1 English level or higher - Demonstrated experience building AI systems and AI agents. - Experience designing workflow automation and optimizing processes. - Strong systems thinking and bottleneck analysis skills. - Experience with client delivery, SLA management, and client communication. - Ability to support account growth, apply commercial judgment, prioritize using KPIs, and measure impact. - Hands-on experience with AI system building, Client delivery and SLA management, Account growth and commercial judgment, KPI-based prioritization and impact measurement, Client communication in English, KPI-Based Prioritization, Impact Measurement, Process Optimization. Skills - AI system building - Workflow automation - Systems thinking and bottleneck analysis - Client delivery and SLA management - Account growth and commercial judgment - KPI-based prioritization and impact measurement - Client communication in English - Systems Thinking - Bottleneck Analysis - Client Delivery - SLA Management - Account Growth - Commercial Judgment - KPI-Based Prioritization - Impact Measurement - Client Communication - AI Agents - Process Optimization - Build, deploy, and improve AI systems, agents, and workflow automations that address operational needs. - Analyze processes, identify bottlenecks, and implement improvements that increase efficiency, quality, or throughput. - Own client delivery, service-level expectations, issue resolution, and ongoing communication with US clients. - Track KPIs, evaluate impact, and prioritize initiatives based on measurable business outcomes. - Identify account growth opportunities and contribute to commercially sound recommendations. - Establish feedback loops and continuously iterate on AI systems and operational processes. - Custom agent skills and harnesses - Agent orchestration - MCP/API integrations - Agent context and memory design - AI evaluations and feedback loops - Custom Agent Skills - Agent Harnesses - MCP - API Integrations - Agent Context Design - Agent Memory Design - AI Evaluations - Feedback Loops

Наблюдалась 2026-09-27, впервые 2026-09-27, источник — Get on Board (LATAM).

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