ABOUT DUST

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,

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.

SUMMARY

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.

We're hiring depending on your experience and technical depth. You'll be an experienced support engineer ready to build systems at

scale, we want to hear from you.

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, Dust 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 Dust. 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 precise, accessible communication for both technical and non-technical audiences.

Systematically analyze agent-generated responses for inconsistencies and iterate on prompts, documentation, and tooling until

human intervention is minimal.

BRIDGE CUSTOMER PAIN TO PRODUCT IMPROVEMENTS

Represent support at the engineering and product level. You synthesize signal, prioritize it, and push it through with enough

context that it actually moves things, not just relays it.

Build strong working relationships with engineers and customer-facing teams to ensure efficient, high-context escalations.

Own the feedback loop end-to-end: when agents fail due to missing or incorrect information, close the gap across engineering,

product, and documentation.

REQUIREMENTS

Every candidate and employee's success is measured against the same 3 dimensions: 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, hired into the team, or rebuilt a broken process from scratch.

High technical aptitude: comfortable reading code, analyzing logs, navigating codebases, and troubleshooting distributed

systems. You're not stopped by a stack trace.

AI fluency at builder level: track record of building custom agents, automations, or workflows using AI tools (Dust, Cursor,

Claude Code, n8n, etc.); not just prompting.

Exceptional prioritization: You know what to solve immediately, what to automate, what to escalate, and, critically, what to

delegate and to whom. You make these calls for yourself and for the team, fast and without second-guessing.

People development instincts: You've coached and grown engineers before, even informally. You know how to give feedback that

sticks and create conditions where people do their best work.

Bidirectional communication: can translate technical concepts to non-technical audiences and speak technical language fluently

with engineers.

Interest in or experience with a Build/Run split: Whether you've already operated this way or you're excited to learn this

approach, you see support as more than ticket resolution.

ATTITUDE

Builder mentality: You instinctively automate repetitive work rather than accepting inefficient systems, and you hold your team

to the same standard.

Resilience-empathy paradox: You can absorb customer frustration without taking it personally while still deeply caring about

the user experience.

Leads by example: You're not above the queue. When something is hard, you take it.

Exceptional prioritization: You know what to solve immediately, what to automate, and what to escalate.

Thrives in ambiguity: You enjoy building systems from scratch in environments where many processes are still undefined.

Low ego, team player: You share knowledge freely and care about the success of the broader team.

AGENCY

High ownership: You define what needs to be done as often as you execute it. You don't wait for someone to tell you the

function has a gap.

Systems-first thinking: You focus on eliminating categories of work, not simply resolving tickets faster. You hold yourself and

the team accountable to that distinction.

Pattern recognition to repeatability: You turn recurring issues into scalable systems, automations, workflows, or documentation

that eliminate future occurrences.

Deep investigation instincts: You investigate as far as possible before escalating, providing engineering teams with

thoughtful, high-context information when collaboration is needed, and you coach the team to do the same.

Even if you don’t meet every requirement above, we still encourage you to apply. We care deeply about curiosity, potential, and

determination, and we know exceptional people don’t always fit neatly into a checklist.

BENEFITS & COMPENSATION

Competitive compensation based on level and experience
100,000€ - 160,000€

Significant equity package at a Sequoia-backed startup

Health benefits for you and your dependents

New MacBook Pro or Linux machine, monitor, keyboard, etc.

Opportunity to travel between our Paris and San Francisco offices

Regular team events and off-sites

LOCATION

We're prioritizing building our team with an in-person culture at our offices in Paris, San Francisco, and New York because we

value the magic that happens when talented people work closely together.

We have an office-first culture. Some of the best things about building at Dust are the energy, the fast decisions, and the

unexpected conversations that unlock a hard problem, which happen because we are in the same room. Being together is not a

formality, it is how we do our best work, and it is something we actively protect.

That said, we hire people with strong judgement and we extend that trust to how they manage their time. When working from home

makes more sense for what you need to get done that day, we trust you to make that call.

WHY DUST

The models are powerful enough. What's missing is the product layer where AI meets how companies actually work. That's what we're

building: the infrastructure that lets any team turn scattered knowledge and tools into coordinated execution with agents they

build, own, and run themselves.

We use Dust ourselves every day. We get to shape how humans and agents collaborate while solving our own problems with the product

we ship. That loop is rare, and it's why we move fast.

If you're excited about defining a new category and want to join a determined team of optimists who focus on users, ship fast, and

don't take themselves too seriously, we'd love to talk.

Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds,

and we're more interested in your potential and passion than a perfect match to our checklist.

Learn how we think and work.

Our product constitution, a story about our mission

Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024

LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024

Roll

AI Support Engineer Lead

Plats

Paris, Frankrike

Publicerad

16 juli

Sista ansökningsdag

16 augusti

Källa

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Senior AI Support Engineer (Paris)

Dust•Paris

ABOUT DUST 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, 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. THE ROLE Support at Dust is not a cost center. It is one of the most important product surfaces we own. As a Senior AI Support Engineer, you will help define what world-class support looks like in an AI-native company. You will not just resolve tickets. You will own the systems, agents, workflows, and feedback loops that make support better, faster, and more scalable over time. This is a senior individual contributor role for someone who has already operated close to support strategy, technical escalation, user experience, and automation. You should be excited by the idea of taking recurring customer pain and turning it into durable systems: better agents, better documentation, better internal tooling, sharper product feedback, and fewer repeat issues. The best person for this role is not a traditional support leader who wants to manage a queue from a distance. It is someone with strong technical instincts, a deep user mindset, and a track record of building support systems that change how a team operates. You might be a great fit if you have built an AI-powered support function, owned support tooling at scale, worked deeply with LLMs or automation, or carried a support strategy from problem discovery through implementation and measurement. WHAT YOU WILL OWN BUILDING THE AI SYSTEMS THAT MAKE SUPPORT SCALE You will design, build, and continuously improve the AI-powered systems that help Dust support customers with speed and quality. This includes agents for ticket classification, auto-acknowledgement, response drafting, internal routing, proactive incident detection, knowledge retrieval, and escalation support. You will identify categories of recurring issues and engineer them out of the support queue. Sometimes that means building a better Dust agent. Sometimes it means improving documentation, creating an internal tool, tightening a workflow, writing a script, or escalating product feedback upstream with enough context for engineering to act. You will be expected to measure whether the systems you build actually improve the user experience. Seniority here means not just shipping tooling, but knowing what good looks like, instrumenting it, and iterating until the impact is visible. RUNNING COMPLEX SUPPORT WHEN THE SYSTEMS FALL SHORT You will still be close to the work. You will investigate complex customer issues across logs, code, internal tooling, product behavior, and agent outputs. You will provide clear, accurate answers to customers, including when the underlying issue is ambiguous or technically complex. You will handle escalated cases with precision and judgment, communicating clearly with both technical and non-technical users. You should be comfortable translating between customer language, product behavior, engineering detail, and business impact. When AI-generated responses are incomplete, inconsistent, or wrong, you will debug the system behind them. You will improve prompts, knowledge sources, workflows, routing, tooling, and escalation paths so that the same failure mode does not repeat. SHAPING THE SUPPORT STRATEGY You will help define how Dust should run support as we scale. That means thinking beyond the queue and owning the full loop: what customers experience, what support sees, what agents can handle, what engineering needs to fix, and what product should learn. You will translate repeated customer pain into high-quality product signal. You will build strong working relationships with engineers and product teams so escalations are high-context, actionable, and efficient. You will also help raise the bar for how the support function operates: what we measure, how we prioritize, how we review quality, how we onboard junior team members, and how we decide what should be automated versus handled by a human. WHAT WE ARE LOOKING FOR Every candidate and employee’s success at Dust is measured against the same three dimensions: Aptitude, Attitude, and Agency. APTITUDE You have strong technical depth. You are comfortable with APIs, web applications, logs, scripts, and internal tools. You can navigate a codebase, reason through product behavior, and troubleshoot systems without being stopped by a stack trace. You have genuine AI fluency at builder level. You have built agents, automations, workflows, or internal tools using AI systems such as Dust, Cursor, Claude Code, n8n, GPT-4, Claude, Mistral, Gemini, or similar platforms. You are not just good at prompting. You understand how to turn AI into operational leverage. You have experience operating at the strategy layer of support, not only at the ticket layer. You have owned or helped shape support systems, support tooling, escalation workflows, deflection strategy, knowledge management, or AI support operations. You can balance technical accuracy with user experience. You care about whether the customer understood the answer, whether the product pain was addressed, and whether the issue will happen again. You are able to communicate bidirectionally: clearly enough for customers, technically enough for engineers, and strategically enough for leadership. ATTITUDE You combine resilience with empathy. This is a front-line role, and customer frustration is often direct and unfiltered. You do not take it personally, but you do take it seriously. You are proactive rather than reactive. You do not wait for a perfect problem statement from the customer. You investigate, infer, clarify, and anticipate what they may need next. You have strong prioritization judgment. You know what needs an immediate human response, what can be automated, what should be escalated, and what should become product feedback. You are comfortable setting boundaries. You do not say yes to everything, and you can explain tradeoffs clearly in a way that builds trust rather than eroding it. You care about the craft of support. You see support as a product experience, not a back-office function. AGENCY You turn patterns into systems. When you see the same issue twice, you start asking whether it should exist at all. You go deep before escalating. You investigate as far as you reasonably can, so that when you involve engineering or product, they receive a clear problem statement, relevant evidence, and a useful recommendation. You build without waiting for permission. If you see a gap in the support system, you are excited to prototype, test, and ship a better version. You continuously improve your own workflows. You treat your time, your tools, and your operating system as things worth debugging. You extract product opportunities from customer interactions. You do not let support signal disappear into a solved ticket. You close the loop. WHAT STRONG CANDIDATES MAY HAVE DONE BEFORE You may have: * Built or led an AI-powered support function * Designed support agents, internal copilots, escalation workflows, or deflection systems * Owned technical support tooling, support operations, or automation at a fast-growing software company * Worked as a senior support engineer, technical support engineer, developer support engineer, support ops engineer, solutions engineer, or implementation engineer * Built a support product, internal platform, AI startup, or automation-heavy support system * Operated in a high-volume environment where quality, speed, and judgment all mattered We care more about the depth and relevance of your experience than the exact number of years. That said, we expect this role to be a fit for someone who has already spent several years close to technical support, support engineering, AI tooling, or support systems ownership. WHAT THIS ROLE IS NOT This is not a traditional customer support role focused only on ticket resolution. It is not a people-management role where you are far away from the technical work. It is not a pure operations role where you optimize process without building. It is not a role for someone who is curious about AI but has not yet built with it. The person we are looking for should be excited to own the messy middle between customers, AI agents, internal tooling, engineering, and product. COMPENSATION AND BENEFITS * Competitive compensation * Significant equity package in a Sequoia-backed startup * Substantial relocation support, up to 10k€, including help finding an apartment in Paris and support with the visa process * Health insurance for you and your dependents * New MacBook Pro or Linux machine, monitor, keyboard, and equipment * Beautiful office in the heart of Paris * Opportunity to travel to the US multiple times a year * Regular team events and offsites We can go higher for exceptional profiles. LOCATION We're prioritizing building our team with an in-person culture at our offices in Paris, San Francisco, and New York because we value the magic that happens when talented people work closely together. We have an office-first culture. Some of the best things about building at Dust are the energy, the fast decisions, and the unexpected conversations that unlock a hard problem, which happen because we are in the same room. Being together is not a formality, it is how we do our best work, and it is something we actively protect. That said, we hire people with strong judgement and we extend that trust to how they manage their time. When working from home makes more sense for what you need to get done that day, we trust you to make that call. WHY DUST The models are powerful enough. What's missing is the product layer where AI meets how companies actually work. That's what we're building: the infrastructure that lets any team turn scattered knowledge and tools into coordinated execution with agents they build, own, and run themselves. We use Dust ourselves every day. We get to shape how humans and agents collaborate while solving our own problems with the product we ship. That loop is rare, and it's why we move fast. If you're excited about defining a new category and want to join a determined team of optimists who focus on users, ship fast, and don't take themselves too seriously, we'd love to talk. Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist. Learn how we think and work. * Our product constitution, a story about our mission * Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024 * LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024

Sista ansökan: 16 aug.Publicerad: 23 jan.

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Ideal candidates for the role fit the following criteria: - 1+ year of experience in IT Support, Help Desk, Workplace IT, or a similar role. - Basic scripting or automation skills (Bash, PowerShell, Python, or similar). - Have hands-on experience troubleshooting macOS and Windows environments. - Possess a basic knowledge of network fundamentals (Wi-Fi, Ethernet, VPN, DNS, Internet connectivity) - Have experience managing user accounts and permissions within modern SaaS environments. - Fast learner who enjoys adopting new technologies and improving processes. - Have excellent communication and interpersonal skills with a strong customer-service mindset. - Fully fluent English, both written and spoken, and are comfortable working in a multicultural, international environment Bonus Skills - Experience with VMware Workspace ONE or other Mobile Device Management (MDM) solutions. - Familiarity with Google Workspace, Microsoft 365, Okta, and Atlassian products. - Experience supporting a hybrid or international workforce. 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PythonAIMachine Learning

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