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present of AI is recruiting for Global Head of Support Engineering in Paris. The role focuses on building and leading a world-class support engineering team, while personally handling the toughest tickets and reviewing code and logs with ease.
You will shape AI-driven support by designing agents, automations and tooling on the Dust platform, coaching engineers, and turning recurring issues into durable product fixes. Strong experience with AI agents and hands-on leadership is essential.
Customer & Solutions · Paris · FullTime · Lead level
This role asks for someone who has built or reshaped a support engineering team and is still happy to work the hardest tickets personally. A strong candidate reads code and logs with ease, has built real AI agents and automations rather than just writing prompts, and can coach engineers while deciding what to automate, elevate or hand off. They also turn repeated customer problems into product fixes by giving engineering and product teams clear, well‑rese
AI agents take on much of the routine support work, such as sorting tickets, drafting replies and spotting incidents, so the job shifts toward designing and improving those systems. Humans still handle the messy edge cases, judge whether an agent's answers are right, and talk with frustrated customers with care. Deciding what good support looks like and growing a team around it stays a human task.
The work centers on building agents, automations and tooling on Dust itself, so the hands-on experience comes from using an AI platform to run support for AI-focused customers. Someone preparing for it can build small projects with tools like Dust, Claude Code, Cursor or n8n, such as a ticket classifier or a reply drafter. Reviewing the output for mistakes and refining prompts and documentation is the habit to practice.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
Dust is a multiplayer AI platform that connects company knowledge, tools, and teams so people and agents can work together in shared workflows, per the company.