AI Support Engineer Lead

France·Parisfull-timelead

Customer SupportSupport Engineer

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Quick Summary

Key Responsibilities

what gets automated, in what order, and to what standard. You make the calls, not just the builds. Design, ship,

Requirements Summary

Aptitude, Attitude and Agency. Aptitude Function-building experience: You've defined or significantly shaped a support engineering function before: built the operating model, set the standards,

Technical Tools

Customer SupportSupport Engineer

With enterprise-grade governance, flexible model choice, and a collaborative interface for humans and agents to work together, Dust empowers AI Operators at the world’s fastest-moving companies to rewire how work gets done.

With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We don't get piloted and shelved. We land once, and spread. We're at an exciting stage of our journey, and growing fast.

We're serving great customers like Datadog, 1Password, Cursor, Clay, Vanta and Persona, and aim to x5 our growth by the end of 2026.

Dust is backed by Sequoia with a determined team of optimists (coming from Stripe, OpenAI, and Stanford) who like to focus on users, ship fast, and don't take themselves too seriously while doing so. The Generalist named us among the Future 50.

At Dust, we're coining the term AI Operator: someone who rethinks and rebuilds company processes around AI. Not "how can AI help us do this faster?" but "if AI existed from day one, would we even do this the same way?"

The AI Support Engineer applies this mindset to Support. You'll split your time between running support (handling complex issues when agents fall short) and building the AI systems that reduce that workload over time. Support at Dust is not a cost center, it's a product. Success is measured by eliminating categories of tickets, not just resolving them.

You will define, ship, and continuously iterate on the infrastructure that lets Dust deliver a world-class support experience at scale: AI agents, automation workflows, classification systems, knowledge systems, and tooling built on top of Dust itself. You will dogfood the product harder than almost anyone at the company.