Customer Experience Automations Manager (AI)

Location: Amsterdam, Netherlands

Company

Nebius builds a full-stack AI cloud platform for data and model training, inference, and production deployment, with infrastructure spanning compute, storage, networking, and applied AI.

What you will do

• Design and build automated systems for quota requests, billing, account management, data subject requests, and other support operations.
• Develop LLM-powered agents that help support engineers resolve complex tickets in real time.
• Create tooling for planned cluster operations using Terraform automation, runbook execution, and Soperator integration.
• Build self-service flows and integrations with Jira, billing APIs, and internal systems.
• Track automation rate, ticket deflection, and engineer hours saved.
• Hire and grow an automation engineering team while defining the technical roadmap with the Head of Customer Service.

Requirements

• 7+ years of software engineering experience, including 2+ years as a tech lead or engineering manager.
• Strong Python skills and hands-on experience with REST APIs and system integrations.
• Experience building production automation pipelines or workflow systems.
• Practical experience with LLM APIs and AI agents.
• Experience working with ticketing systems such as Jira at the API level.
• Fluent written and spoken English; authorization to work in the country of application is required.

Nice to have

• Experience with Terraform, infrastructure automation, Kubernetes, and cloud-native technologies.
• Experience with N8N, Temporal, or similar workflow automation tools.
• Knowledge of cloud billing, quota management, and compliance workflows.
• Background in support engineering, DevOps, or customer success engineering.

Culture & Benefits

• Competitive compensation and opportunities for career growth and learning.
• Flexibility, ownership, and a collaborative, innovative environment.
• Opportunity to work on impactful AI projects with international teams.
• Fast-moving environment focused on meaningful impact and shaping the future of AI.