AI Support Engineer Lead

Dust; Paris (TX); In loco; USD 120.000 - 210.000; Tempo pieno

Descrizione del lavoro

Dust is building a new kind of AI Operator: people who rethink and reshape how teams work 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?” As our AI Support Engineering Lead, you’ll own how Support is built and scaled at the company.

This is a deeply hands‑on role. You’ll take on the hardest customer issues when our agents fall short, but your job isn't simply to resolve them.

Competenze

• Hands-on experience building scalable AI-powered support systems.
• Experience leading a growing team of engineers.
• Strong ability to diagnose root causes across logs, code, and tooling.

Mansioni

• Build AI systems that perform the work.
• Set tech direction for the support stack and standards.
• Design and maintain AI agents and automation workflows.
• Reduce manual support by automating classifications, responses, and detections.
• Create tooling to scale the team without more headcount.
• Own the Support as a Product backlog and shipping bar.

Conoscenze

AI systems

Automation

AI agents

Support engineering

Team leadership

Strumenti

MCP integrations

Descrizione del lavoro

About the company

Work is being rewritten, and the people holding the pen are the ones who actually run it.

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

With 70%+ weekly active users, people stick with the company 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.

the company 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.

Summary

At the company, we're building for a new kind of AI Operator: people who rethink and rebuild how their teams work 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?”

As our AI Support Engineering Lead, you'll own how Support is built and scaled at the company. This is a deeply hands‑on role. You'll take on the hardest customer issues when our agents fall short, but your job isn't simply to resolve them. You'll look for the pattern behind each issue and turn what you learn into better agents, automation, tooling, documentation, and product improvements. Over time, you'll help grow the team and shape how Support Engineering operates as the company scales.

You'll define, ship, and continuously iterate on the systems that make this possible: AI agents, automation workflows, classification systems, knowledge systems, and tooling built on top of the company itself. You'll dogfood the product harder than almost anyone at the company and set the standard for how the rest of the Support Engineering team does the same.

We're looking for someone who wants to lead from the work: technically strong, obsessed with building better systems, and excited to shape both the team and the function as we grow.

What you'll do

• Build the AI systems that do the work
• Set the technical direction for the support stack: what gets automated, in what order, and to what standard. You make the calls, not just the builds.
• Design, ship, and maintain AI agents and automation workflows that reduce manual support load: think ticket classification, acknowledgment automation, response drafting, incident detection, and proactive user outreach.
• Identify recurring categories of issues and engineer them out of existence through automation, documentation, prompt iteration, or product feedback.
• Build and maintain tooling (MCP integrations, the company agents, internal scripts) that increase the team's capacity without increasing headcount.
• Define and own the “Support as a Product” backlog. You decide what goes on it, coach the team to execute it, and hold the bar on what shipped means.

Run support when the systems fall short

• Hire, onboard, and develop the support engineers around you. You're not just resolving tickets and building systems, you're growing the people who will.
• Set the standard for how complex issues get handled at the company. You take the hardest tickets yourself. The team knows what good looks like because they've watched you do it.
• Investigate complex issues across logs, code, and internal tooling to identify root causes and provide clear answers to customers.
• Handle escalated cases with