![](\"https://app.ashbyhq.com/api/images/user-content/4fbed559-3472-4cab-b074-d2e2d34772be/55597adc-82da-45a9-a55d-b0de6356562b/Eng%20team.jpg\")
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 Solution Partner Ecosystem is the second biggest growth lever at Dust, yet Europe's agency and consultant market is still almost entirely untapped.
As Partner Development Manager (EU) at Dust, you will build a volume engine to boost partner-led revenue. Your job is to find the right partners across Europe, recruit them, and get them to their first win fast, and then transform into a repeatable motion. Working directly with our global partnerships team, you'll own the outreach motion, the onboarding, and the early relationship with every new partner you bring in, primarily digital transformation agencies and AI consultants.
This is a hands-on role for someone who can build a relationship from a cold message, run a disciplined process, and never lose the human touch that makes partners want to show up. You will be part of a growing partnerships team of 6 people, with partner managers distributed by location and a global partner operations and a solutions engineer.
Hunt and recruit partners across Europe
Map the agency and consultant landscape across key European markets and identify highest-leverage entry points
Build and run an outbound motion to engage high-potential agencies and AI consultants: cold outreach, events, referrals, and everything in between
Develop targeted messaging tailored to different partner profiles, geographies, and languages
Qualify and prioritise your pipeline based on partner fit, client base relevance, and activation potential
Qualify partners and shape their Dust proposition
Run discovery conversations with prospective partners to assess their client base, AI readiness, and commercial fit before investing further
Help partners articulate how Dust fits into their service offering, whether that's a new AI practice, an add-on to existing engagements, or a standalone product recommendation
Make the call on which partners are worth advancing and move quickly on the ones that aren't
Onboard and enable new partners to go to market
Run structured onboarding for every new partner: product training, sales methodology, and deployment fundamentals
Own product training sessions with new partners and make sure they can demo, pitch and deploy Dust independently before going live
Get partners to first deal fast and track time-to-activation as a core success metric
Manage your partner portfolio and drive performance
Own quarterly business reviews with active partners: pipeline, escalations, and partnership trajectory
Keep the account management layer efficient and systematic to handle a high volume of partners
Support partners through live deals
Coach partners through sales cycles where Dust expertise is needed on the call
Build shared accountability for revenue outcomes between Dust and the partner network
5+ years of partnership management or business development experience in B2B SaaS, with proven track record of driving revenue through partner channels
Outbound-first mindset with a proven ability to recruit cold partners into active pipeline contributors, without relying on warm intros or an established brand to open doors
Relationship building expertise with ability to establish trust and drive action with consulting firms and system integrators
Strong enablement instincts — you can translate a technically complex product into a partner-ready sales motion and get partners to first deal without hand-holding
Excellent communication skills in English and French, nice to have a third European language
Entrepreneurial background or mindset: you've built something from scratch before, whether a territory, a partner channel, or a program, and you can show the impact
Self-starter mentality comfortable with ambiguity and can easily iterate on a built playbook
Nice to have: Existing network of agencies or consultants across Europe is a strong plus; we're looking for someone who brings complementary reach, not just experience in the category
Direct revenue impact: You'll be directly involved in signing partners, closing deals and driving measurable business results
AI-native partner operations: Build and shape the partner operations in a AI-native team
Cross-functional collaboration: Work closely with sales, partnerships, and product teams
High-growth environment: Join at a pivotal moment as we scale from €1M to €40+M ARR
Innovation opportunity: Help define how AI companies should approach partnership development
We're prioritizing building our team with an in-person culture at our offices in Paris, London, 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.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
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 French market is one of Dust’s most important growth levers, and the Marketing team plays a central role in supporting pipeline generation through events, content and account-based activations.
As field marketing specialist, France, you will be the execution owner for Dust’s local Marketing activities. Working closely with the France Marketing Lead, you will turn defined priorities into high-quality events, localized webinars, social media, content and partner marketing activations that support Sales, BDRs and pipeline generation.
The France Marketing Lead owns the strategy, budget, programme selection and priorities. You will own execution, coordination, content delivery and continuous improvement across the French Marketing motion.
You will be part of a growing Marketing team across the US, UK and France, managed by the Global Head of Marketing.
Execute conferences, Dust-owned events and localized webinars selected and scoped by the France Marketing Lead.
Coordinate the preparation, stakeholders, content, landing pages and logistics needed for a smooth delivery.
Work closely with Sales and BDRs to prepare target accounts, follow-up plans and event-related content.
Collect feedback, measure performance and document learnings after each activity.
Own social media execution for Dust around events, campaigns and key French-market topics.
Support AEs with relevant content and messaging for their LinkedIn activity.
Coordinate with Global Marketing, Product, Customer Success, Design and external media partners to deliver relevant content for French enterprise audiences.
Turn events, customer conversations and market insights into reusable content, including customer stories, blog posts, videos, YouTube content and Sales assets.
Provide execution and logistical support for regional partner marketing activities within the strategy, selection and budget defined by the France Marketing Lead.
Support Growth with French-market content for ABM, webinars and paid campaigns.
Produce or reformat assets such as e-books, landing pages, customer content and campaign materials.
Connect event, content and partner marketing activities to target account engagement and pipeline generation.
Identify opportunities to automate repetitive Marketing tasks , Build Dust agents and workflows to support research, event preparation, content repurposing, Sales enablement, reporting and follow-up.
3+ years of experience in B2B Marketing, ideally across Field Marketing, Event Marketing, Content Marketing or Product Marketing, preferably in SaaS or technology.
End-to-end event ownership with the ability to plan and deliver conferences, executive events and Dust-owned events, from preparation through execution and post-event follow-up.
Strong content and social media skills with experience creating or repurposing content for enterprise audiences across social media, landing pages, customer stories, YouTube, Sales enablement and executive LinkedIn profiles.
Commercial and pipeline mindset with a clear understanding of how events, content and account-based activities support Sales, BDRs, direct pipeline and partner-led growth.
Excellent communication skills in French and English, both written and spoken. You can write clearly and accurately, adapt your tone to different audiences and communicate credibly with enterprise executives.
Generalist and hands-on approach. You are comfortable moving between event ownership, content creation, Sales preparation, webinars, campaign assets and operational coordination.
Strong organisational skills and attention to detail. You anticipate needs, manage deadlines reliably and ensure that projects, events and content are properly prepared before launch.
Self-starter mentality. You take initiative, make decisions, solve problems and own outcomes rather than waiting to be told what to do.
Strong cross-functional collaboration skills. You know how to find and coordinate the right people across Marketing, Sales, BDRs, Customer Success, Partnerships and external partners.
Nice to have: Experience marketing to French enterprise or CAC 40 audiences, working with agencies or media partners, supporting paid campaigns, producing webinars or video content, and working with tools such as HubSpot, Google Workspace and Figma.
Location and travel: Based in Paris, comfortable working on-site and willing to travel occasionally for events in France.
Direct pipeline impact: Your work will directly support Sales and BDRs through events, content and ABM activations.
Execution ownership in France: You will turn the priorities defined by the France Marketing Lead into high-quality events, content, social media and partner marketing activations in France.
AI-native Marketing: You will use Dust to automate research, preparation, content production, reporting and follow-up.
Generalist scope: The role combines events, content, social media, webinars, Sales enablement and ABM.
Market-shaping opportunity: Help establish Dust as a leading voice in the French enterprise and agentic AI market.
We're prioritizing building our team with an in-person culture at our offices in Paris, London, 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.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
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.
As an Account Executive at Dust, you'll drive our mission to transform how work gets done through AI. You'll build our customer base among digital native and larger businesses, representing our innovative AI operating system that empowers teams to create the exact agents they need.
Joining Dust also means pioneering a new form of Business Development. As a GenAI-native company, Dust aims to illustrate how GenAI can help redefine the experience customers can expect from software and how sales teams can be designed with GenAI in mind.
You’ll contribute to building a new category from the ground up in a fast-paced environment that encourages a doer attitude and ownership over outcomes as we work to 5x our revenue by the end of 2025.
1. Business Development & Market Expansion
Evangelize the new paradigm Dust is creating and help Dust truly transform how work gets done.
Drive new business acquisition by targeting digital native and larger businesses
Identify strategic expansion opportunities to generate additional revenue
Drive market expansion by identifying and developing new opportunities, establishing a strong presence in key regions, and building strategic relationships
2. Sales Strategy & Pipeline Management
Manage a pipeline of multi-stakeholder sales opportunities from lead to close, navigating 2-6 month sales cycles
Source quality outbound sales pipeline from target accounts through strategic prospecting
Qualify and manage new opportunities generated by Marketing and other channels
3. Customer Experience & Relationship Management
Provide an exceptional buying experience for our customers that showcases how Dust can transform their work
Seamlessly hand over new customers to the Customer Success team
4. Analytics, Reporting & Strategic Insights
Develop a deep understanding of our target markets, ideal customer profile(s), and value proposition, as well as competitive positioning
Use CRM and other sales tools to manage your pipeline effectively
Report to leadership in weekly forecast meetings and 1:1s
Provide feedback from the market to Product, Marketing, and Dust leadership to inform our product roadmap, target profiles, and go-to-market strategies
You’ve met or exceeded your sales targets for 3-4+ years and are experienced in closing 6-figure deals.
3+ years experience selling complex products.
Proven ability to sell in a lean company with few to no sales support & resources (eg: no lead gen, no SDR, no sales playbook)
Experience managing complex, multi-stakeholder deal cycles in the 2-6 month range
Strong prospecting skills—and a willingness to use them.
Proven ability to build deep customer relationships with senior stakeholders at digital native businesses
Customer-centric approach, enjoying the process of learning about prospects' businesses and helping them solve challenges
Growth mindset, eager to learn new skills and methodologies and bring best practices into our business
Collaborative work style, able to partner effectively with Marketing, Customer Success, and other teams
Excellent written and spoken English skills and an exceptional feel for language and messaging.
Curiosity, adaptability, and a flair for elegant solutions to first-of-its-kind problems
A hard worker with the ability to be flexible as the needs of Dust evolve - no job is too big or too small
Must be a European resident
Experience and strong interest in AI, specifically generative AI and LLMs
Please send your application and resume in English.
We're prioritizing building our team with an in-person culture at our offices in Paris, London, 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.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
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.
We are seeking a talented Software Engineer to join our team. You will be responsible for framing and building high-value features and pieces of infrastructure in this role.
As a Software Engineer, you’ll engage with technologies like Typescript, React.js, Node.js, Rust, shadcn, Kubernetes, Helm, Terraform, Elasticsearch, QDrant, PostgreSQL.
Dust on Dust: as engineers, we have the incredible chance to work on a product we use every day.
Product-First: Unlike others focused on building foundation models, we're laser-focused on creating delightful product experiences with existing LLMs.
Small, High-Impact Team: Join a team of alumni from Stripe, Front, OpenAI, and other top tech companies. We're intentionally keeping our team small and mighty – every engineer has massive scope and impact.
Transparency & Collaboration: Our repository is open source, and we leverage serendipity between team members. We believe the best ideas emerge when the team shares information and insights openly.
Proactive Problem-Solving: If you see something broken, fix it—without waiting for permission. We don't wait for solutions - we create them.
Ship to Learn: We move fast and learn from real user feedback.
Intellectual Humility: We value strong convictions balanced with open-mindedness. Team members confidently advocate for their ideas while remaining receptive to new perspectives and evidence that might change their minds. If new data emerges, we adapt quickly.
Own critical features end-to-end: Design and implement core product experiences that directly impact how users interact with AI.
Scope and lead technical projects to completion with an eye on the full stack and a mind for opinionated prioritization.
Collaborate closely with users: Work directly with customers to understand their needs and rapidly iterate on solutions.
Build for scale: Design and implement systems that gracefully handle increasing complexity while maintaining simplicity for users.
Dust for Dust: We use Dust for Coding, debugging, knowledge search (runbooks, codebase), incident management, and task automation (i.e., creating issues).
Programming languages: TypeScript, Rust (not a requirement; we’re open to people who are experts in other programming languages).
Other relevant tools and technologies:
Front end: React, shadcn
Backend: NextJS, Kubernetes, Terraform/Helm
Database: PostgreSQL, QDrant, Elasticsearch
DevOps: Datadog monitoring, Github actions-based CI/CD
Competitive compensation: €30K - €150K* base salary
We offer substantial support for relocation, including a stipend up to €10k, finding an apartment in Paris, and supporting you with all residence and work permit-related procedures.
Significant equity package in a Sequoia-backed startup
Health insurance for you and your dependents
New MacBook Pro or Linux machine, monitor, keyboard, etc.
Beautiful office in the heart of Paris
Opportunity to travel to the US multiple times a year
Regular team events and offsites
We keep our engineering structure simple. Rather than assigning people to a ladder of levels, we focus on the scope of their work, their reliability, and the impact they have on the team over time.
Every engineer joins Dust as an Engineer, regardless of seniority. We expect engineers to be dependable, move with purpose, and expand their impact as they become familiar with the team, the product, and our customers.
We're prioritizing building our team with an in-person culture at our offices in Paris, London, 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.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
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.
Dust is building the AI operating system that transforms how companies work, already used weekly by 70%+ of our customers' teams. We're looking for a Senior Product Designer who can tackle ambiguous product problems across our platform, working in close partnership with engineering in a highly technical environment where AI capabilities evolve weekly.
This isn't a typical design role. You'll define the end-to-end experience for how humans collaborate with AI agents, shaping a product category that lacks established patterns yet. You need strong discovery and product thinking to frame the right problems, exceptional UI craft to execute elegant solutions, and the communication skills to influence direction across a lean, technical team.
You'll thrive here if you're excited by:
Defining a new product category: Creating interaction patterns for AI agents that don't exist yet
High impact, high autonomy: Owning entire product areas from discovery through delivery with massive scope
Technical depth: Working alongside world-class engineers (ex-Stripe, OpenAI) who value craft and move fast
Real usage at scale: Seeing your work used daily by customers like Cursor, Clay, Whatnot, and Persona
Product-First: We're laser-focused on delightful product experiences with existing LLMs, not building foundation models.
Small, High-Impact Team: Alumni from Stripe, Square, OpenAI. We're keeping the team intentionally small—every person has massive scope and impact.
Transparency & Collaboration: Our repository is open source. We share information openly because the best ideas emerge from serendipity and open exchange.
Proactive Problem-Solving: See something broken? Fix it—without waiting for permission. We create solutions, not wait for them.
Ship to Learn: We move fast and learn from real user feedback. Speed matters.
Intellectual Humility: Strong convictions, loosely held. We advocate confidently for our ideas while staying open to new perspectives. If new data emerges, we adapt quickly.
Own end-to-end product areas from discovery through delivery. Defining problems, exploring solutions, shipping designs, and measuring impact
Lead product discovery by working with users, analysing behaviour, and framing ambiguous problems into actionable design opportunities
Create exceptional UI that balances simplicity with powerful functionality in a complex, AI-driven product
Partner deeply with engineering to understand technical constraints, explore what's possible, and influence implementation decisions
Shape product direction by presenting work clearly, building conviction with stakeholders, and advocating for user needs
Contribute across disciplines when needed. Research, prototyping, brand, or even code, in true early-stage startup fashion
Raise the bar by providing guidance to less experienced designers with a \"no-ego, do-what-it-takes\" attitude
Discovery & Product Thinking
You can frame design problems by understanding user needs, business constraints, and technical possibilities
You ask sharp questions that reveal insights others miss
You know when to explore broadly vs. converge on solutions
UI Craft & Execution
You create polished, thoughtful interfaces that balance aesthetics with usability
Your portfolio shows end-to-end thinking, not just pretty screens
You understand systems thinking and how details compound
Communication & Influence
You can articulate your thinking clearly, explaining the why behind decisions, not just the what
You present work confidently and handle feedback constructively
You influence without authority in cross-functional settings
5+ years of product design experience, with at least 2 years working on complex B2B or technical products
Comfortable in technical environments: You understand engineering constraints and can work effectively with technical teams
Generalist mindset: Willing to step outside pure design when needed. Research, prototyping, brand, or light coding
Startup experience preferred: You've worked in ambiguous, fast-moving environments where you had to define your own scope
Competitive compensation: €60,000 - €110,000 base salary depending on experience and seniority*
Significant equity at all levels of seniority in a Sequoia-backed startup
Relocation support: Up to €10,000 for relocation to Paris, including apartment search and visa assistance
Health insurance for you and your dependents
Equipment: New MacBook Pro or Linux machine, monitor, keyboard, etc.
Beautiful office in the heart of Paris (4 days/week in-office)
US travel: Opportunity to visit our US operations multiple times per year
Regular team events and offsite gatherings
*We can go higher for outstanding profiles.
We're prioritizing building our team with an in-person culture at our offices in Paris, London, 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.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
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.
As an Account Executive at Dust, you’ll help shape how companies adopt AI at work by bringing our platform to digital-native startups and larger enterprises alike. You’ll drive new business across both Enterprise (six-figure+) and MidMarket ($50–75K) segments, working in a lean, fast-moving environment where you’ll own the full sales cycle from prospecting to close.
This is an opportunity to help define how AI-native sales teams operate. As a GenAI-native company, Dust is rethinking not only what software can do for customers, but also how modern go-to-market teams work with AI at the core. You’ll partner closely with Solutions Engineering and Customer Success to help customers transform how work gets done through custom AI agents connected to their internal systems and knowledge.
You’ll contribute to building a new category from the ground up in an environment that values ownership, curiosity, speed, and strong execution.
Own the full sales cycle for Enterprise and MidMarket accounts
Prospect and qualify opportunities through self-generated outbound efforts and inbound demand
Navigate complex, multi-stakeholder buying committees across 2–6 month sales cycles
Close six-figure deals while maintaining strong pipeline coverage and forecasting discipline
Build strategic relationships with senior stakeholders and identify expansion opportunities within target accounts
Build and establish US sales motions
Contribute to repeatable sales playbooks, processes, and best practices as we scale the US business
Share learnings and market insights that help shape pricing, messaging, and go-to-market strategy
Explore creative approaches to customer acquisition, events, and market expansion
Operate effectively in a lean, fast-moving environment where experimentation and iteration are encouraged
Drive creative, resourceful selling in a lean environment
Master product positioning and deliver compelling demos independently
Design and run paid pilot programs alongside Solutions Engineers
Develop land-and-expand strategies and target account plans for large tech companies
Collaborate cross-functionally to accelerate customer success
Partner closely with Solutions Engineers on technical discovery and demonstrations
Work with Customer Success on seamless account handoffs and expansion opportunities
Partner cross-functionally to ensure a strong customer experience from first conversation through deployment
At Dust, we evaluate candidates across three dimensions: Aptitude, Attitude, and Agency.
5+ years of B2B SaaS sales experience, with a consistent track record of meeting or exceeding quota
Proven success closing six-figure deals in complex, multi-stakeholder sales cycles
Strong outbound prospecting skills and the ability to build pipeline independently
Experience selling complex or technical products to senior stakeholders and technical buyers
Ability to quickly understand new technologies and translate them into business value for customers
Experience operating successfully in lean, fast-moving environments with limited support infrastructure
Deeply curious about AI, technology, and how work is changing
Growth-minded and eager to continuously learn, adapt, and improve your craft
Excited by ambiguity and energized by building in environments where not everything is fully defined
Highly proactive and resourceful; you find ways forward rather than waiting for perfect conditions
Collaborative and low ego; you care about team success as much as individual performance
Take ownership end-to-end and focus on outcomes rather than simply completing tasks
Identify gaps and opportunities without being asked, then proactively drive solutions forward
Comfortable experimenting with new approaches and iterating quickly based on feedback and results
Operate with urgency and strong execution while maintaining good judgment
You should still consider applying even if you don’t meet every requirement above. We care deeply about potential, curiosity, and determination, and we know exceptional people don’t always fit neatly into a checklist.
Competitive compensation: $250K–$320K OTE (50/50 split, ramped quota of $1.3M annually)
Significant equity package in a Sequoia-backed startup
Relocation support
Health insurance for you and your dependents
New MacBook Pro or Linux machine, monitor, keyboard, etc.
Beautiful office in the heart of NYC
Opportunity to travel to Paris and work with the EU team multiple times a year
Regular team events and offsite
We're prioritizing building our team with an in-person culture at our offices in Paris, London, 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.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
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.
As a Solutions Engineer at Dust, you will act as the technical bridge between our sales team and prospective customers, demonstrating how our AI operating system transforms and adds value to their workflows. Your primary focus will be partnering with customers to showcase our solution through technical demonstrations, use case scoping and supporting technical evaluations. You will work closely with our Sales, Customer Success, and Product & Engineering teams to ensure successful customer engagements.
Product-First: Unlike others focused on building foundation models, we're laser-focused on creating delightful product experiences with existing LLMs.
Small, High-Impact Team: Join a team of alumni from Stripe, Square, OpenAI, and other top tech companies. We're intentionally keeping our team small and mighty – every individual has massive scope and impact.
Transparency & Collaboration: Our repository is open source, and we leverage serendipity between team members. We believe the best ideas emerge when the team shares information and insights openly.
Proactive Problem-Solving: If you see something broken, fix it—without waiting for permission. We don't wait for solutions - we create them.
Ship to Learn: We move fast and learn from real user feedback.
Intellectual Humility: We value strong convictions balanced with open-mindedness. Team members confidently advocate for their ideas while remaining receptive to new perspectives and evidence that might change their minds. If new data emerges, we adapt quickly.
Partner with the Sales team to articulate Dust’s value proposition to our prospects and customers and set them up for success
Provide compelling product demonstrations that showcase Dust's capabilities to both technical and business stakeholders
Help customers identify high-value use cases that align with Dust's capabilities and their specific business needs
Create and configure custom LLM agents in Dust to demonstrate practical applications
Own the technical evaluation end-to-end from customized demos to pilots, helping prospects by onboarding them onto the platform and driving pilot use-cases to completion
Represent the voice of the customer with Product & Engineering teams to ensure insights and feedback are being implemented into product strategy
Develop and maintain deep expertise in Dust's API capabilities and prompt engineering best practices
Educate customers on how to maximize value from generative AI within their workflows
Meaningful experience in a combination of technical and customer-facing roles
Proven track record of helping customers unlock value from sophisticated software products
Experience conducting effective technical demonstrations and translating complex concepts to diverse audiences
Excellent communication and presentation skills with the ability to engage technical and business stakeholders
Strong technical aptitude with understanding of API concepts and generative AI prompt engineering principles
Passionate about educating customers of various backgrounds on new technologies
Ability to speak to both the technical and business value of a solution
Experience collaborating with cross-functional teams in fast-paced environments
Ideal, But Not Required:
Experience with AI/ML technologies, particularly generative AI and LLMs
Background in productivity tools, knowledge management, or workflow automation
Coding experience to understand API implementations and create custom demos
Competitive compensation based on experience
We offer substantial support for relocation, including a stipend up to €10k, finding an apartment in Paris, and supporting you with all residence and work permit-related procedures
Significant equity package in a Sequoia-backed startup
Health insurance for you and your dependents
New MacBook Pro or Linux machine, monitor, keyboard, etc.
Regular team events and offsites
We're prioritizing building our team with an in-person culture at our offices in Paris, London, 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.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
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.
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.
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.
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.
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.
Every candidate and employee’s success at Dust is measured against the same three dimensions: Aptitude, Attitude, and Agency.
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.
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.
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.
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.
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.
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.
We're prioritizing building our team with an in-person culture at our offices in Paris, London, 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.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
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.
Dust is hiring a Lead Solutions Engineer to build the technical customer-facing organization required for our next stage of growth.
You will lead our global Solutions Engineering function across pre-sales and post-sales. You will own how Dust earns the technical win during complex enterprise evaluations and how we deepen the value, adoption, and stickiness of Dust during and after deployment through advanced use cases and technical solutions.
This is a founding player-coach role. During your first year, you will remain directly involved in our most important customer engagements while significantly scaling the team, and building the repeatable motions that allow the organization to operate without depending on you for every decision.
You will have authority over the organization’s structure, hiring, performance, career paths, technical standards, coverage, resource allocation, and operating model. As a member of Dust’s GTM leadership group, you will work closely with Sales, Customer Success, AI Deployment, Product, and Engineering to connect customer ambition, technical execution, and business value.
The opportunity is larger than building a traditional SE team. You will define how an AI-native Solutions Engineering organization helps customers move from understanding Dust’s potential to making it a critical part of how their companies operate.
Define the global vision, strategy, and operating model for Solutions Engineering at Dust.
Lead the organization across pre-sales and post-sales Solutions Engineering.
Design the team structure, leadership model, roles, career paths, coverage model, operating standards, and performance systems.
Significantly scale the team across Paris, New York, San Francisco and London.
Hire, develop, and manage both Solutions Engineers and future SE leaders.
Establish a high talent bar and build a team that combines technical depth, business judgment, executive presence, and customer empathy.
Create clear decision rights and operating rhythms across regions and functions.
Allocate Solutions Engineering resources based on opportunity complexity, customer impact, strategic importance, and likelihood of success.
Build the systems and leadership capacity required for the function to scale without relying on linear headcount growth.
Define how Dust qualifies, scopes, and executes complex enterprise technical evaluations.
Partner with Sales leadership to improve technical win rate, evaluation conversion, qualified pipeline coverage, and evaluation velocity.
Develop the technical strategy for Dust’s most important enterprise opportunities.
Build a clear understanding of why Dust wins and loses technical evaluations, then turn those insights into improvements across the organization.
Ensure successful evaluations transition into deployment with clear use cases, architecture, dependencies, ownership, and success criteria.
Raise performance across discovery, demonstrations, solution design, pilots, architecture reviews, security validation, and technical handoffs.
Build the post-sales Solutions Engineering motion that helps customers adopt more advanced, valuable, and sticky use cases.
Partner with Customer Success on strategic workshops, complex integrations, new architectures, and technically influenced expansion.
Establish a clear interface with AI Deployment, which owns initial implementation, enablement, production use, and first measurable value.
Turn successful engagements into reusable playbooks, reference architectures, technical assets, and AI-native workflows.
Establish consistent methods for allocating resources, identifying risk, inspecting opportunities, and learning from outcomes.
Reduce dependence on individual heroics while preserving the judgment required for complex enterprise situations.
Turn recurring customer needs into clear input for Product and Engineering.
Strengthen Dust’s technical positioning across enterprise AI, integrations, security, governance, and agent architecture.
You have built, scaled, or significantly transformed a Solutions Engineering, Solutions Architecture, Customer Engineering, Technical Account Management, or comparable customer-facing technical function.
You have recruited, retained, and developed exceptional customer-facing technical talent across multiple regions, segments, or customer motions.
You have owned measurable GTM outcomes and personally helped win complex enterprise opportunities.
You understand both pre-sales technical execution and how post-sales Solutions Engineering can deepen adoption, value, and expansion.
You combine strong technical credibility across enterprise architecture, integrations, security, governance, and AI systems with clear business judgment.
You can remain close to strategic customers while building an organization that does not depend on you for every decision.
You introduce the structure needed to scale without creating unnecessary process.
You are a hands-on, low-ego leader who communicates clearly across Sales, Customer Success, AI Deployment, Product, and Engineering.
Advise customers on where AI agents can create meaningful value
Reason about model selection, prompting, context management, tool use, retrieval, evaluations, reliability, latency, and cost.
Explain the capabilities and limitations of modern AI systems clearly to technical teams, business leaders, and executive stakeholders.
Identify integration, security, data governance, and scalability risks.
Reason about APIs, authentication, data connectors, enterprise systems, and cloud architectures.
Design evaluation approaches that connect AI-system performance to customer and business outcomes.
Coach Solutions Engineers through difficult AI, architecture, and customer decisions.
Recognize excellent technical work and hold the organization to a consistently high bar.
Competitive compensation
We offer substantial support for relocation including finding an apartment in Paris/NYC and supporting you with the visa procedure
Significant equity package in a Sequoia-backed startup
Health insurance for you and your dependents
New MacBook Pro or Linux machine, monitor, keyboard, etc.
Beautiful office in the heart of Paris or NYC
Opportunity to travel to the US/Paris multiple times a year
Regular team events and offsite
We're prioritizing building our team with an in-person culture at our offices in Paris, London, 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.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
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.
We're looking for a Revenue AI Operations builder to help Dust scale toward $100M in ARR. You'll work closely with GTM teams to identify friction across the customer lifecycle to build AI-powered workflows for the entire GTM engine. This is a high-scope, high-leverage role on a small team: you'll be dogfooding Dust to reinvent how revenue operations get done, and your work will directly shape how fast we grow
Own the design and delivery of AI-powered workflows end-to-end across Marketing, Sales, and CS, from identifying repetitive work to building, launching, and improving the solution.
Automate high-friction parts of the customer lifecycle, including meeting prep and follow-up, deal and account workflows, and renewals.
Instrument each workflow so it's measurable, repeatable, and scales, keeping data clean and trusted in HubSpot
Identify what can be automated and design a clear hand-off for what still requires a human.
Be one of Dust's most demanding internal users: put the product to work on real GTM challenges and push beyond today's standard use cases.
Partner directly with Product and Engineering, bringing them concrete feedback from building and using Dust at scale.
Turn what you learn internally into reusable examples that help customers see what's possible with Dust.
Every candidate and employee's success is measured against the same 3 dimensions. Aptitude, Attitude and Agency.
2-5 years in revenue/sales operations, consulting, VC, or a comparable analytical, high-ownership role
Strong CRM fluency, ideally HubSpot, plus automation tools (Zapier, Make, n8n)
Proven project management: you scope, sequence, and ship cross-functional work without dropping details
Bonus: B2B SaaS or AI/ML experience, familiarity with the modern GTM stack (Clay, Lemlist, Common Room), and sales methodologies (MEDDIC, BANT)
You make the people around you more effective; sales leaders come to you because your work makes their jobs easier
You thrive in a fast-paced startup, stay calm in ambiguity, and bring structure rather than friction
You communicate clearly and keep cross-functional partners aligned
You're intellectually humble: strong opinions, held loosely, updated on evidence
You care about craft and sweat the details, because in RevOps the details are the trust
You drive outcomes proactively and don't wait to be told what to fix
You own problems end-to-end, from spotting the issue to shipping the system that prevents it
You make decisions autonomously and default to action
You act like a true business partner, taking initiative on behalf of the leaders you support
You see leverage where others see manual work, and you build for it
€50k-€80k base salary
Equity package in a Sequoia-backed startup
🏡 We offer substantial support for relocation (up to 10k€), including finding an apartment in Paris and supporting you with the visa procedure
Health insurance for you and your dependents
New MacBook Pro or Linux machine, monitor, keyboard, etc.
Beautiful office in the heart of Paris
Opportunity to travel to the US multiple times a year
Regular team events and offsite
We can go higher for outstanding profiles.
We're prioritizing building our team with an in-person culture at our offices in Paris, London, 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.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
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.
Dust is looking for a Product Marketer to shape how we bring a fast-moving, technical product to market and build the engine behind our product launches.
You will lead product launches and storytelling at Dust, turning a constant stream of product innovation into clear positioning, compelling narratives, and launches that help customers understand what’s new, why it matters, and what they can do with it.
This is a hands-on role. You will work closely with product and engineering to understand what we’re building, find the story within it, and bring that story to life across messaging, web, video, social, customer communications, and sales enablement. You’ll own the work from strategy through execution, bringing in designers, contractors, and other partners where they can add specialist expertise.
It’s a rare opportunity to help define the product narrative of a category-defining AI company while the product, the market, and the way people work with AI are all evolving quickly.
Own product launches from initial narrative and positioning through asset creation, amplification strategy, and sales enablement
Build and run an always-on launch program that keeps pace with Dust’s rapid product development, supporting at least 5-7 releases each quarter
Partner closely with engineering team to understand what’s shipping, why it matters, and which initiatives require a broader market moment
Establish lightweight launch tiers and processes that bring consistency without slowing the team down
Develop positioning and messaging for new capabilities, translating technical innovation into clear, differentiated narratives that resonate with Dust’s buyers and users
Create launch assets across formats, including short-form videos, social campaigns, web copy, blogs, livestream events, customer communications, and sales collateral
Develop unique, scroll-stopping feature overview videos by owning storyboarding and screen capture end-to-end, while leveraging in-house creative and design support or external contractors as needed
Experiment with new formats and approaches to find the most effective ways to make Dust’s product understandable, memorable, and exciting
Build strong relationships with engineers and user leads and become a partner they proactively bring into product launches
Develop enough technical fluency to ask the right questions, challenge assumptions, and uncover the most important customer and market story
Operate effectively in Dust’s highly autonomous product environment, where engineers often lead product initiatives directly
Bring customer, competitive, and market context into conversations about how we position and communicate the product
Partner with Dust’s founders and marketing leadership on major product narratives and moments
Equip Sales and Customer Success teams with the messaging, assets, and context they need to effectively pitch new capabilities to customers
Partner with Brand & Content to turn product innovation into broader editorial and content opportunities
Work with Growth and Field Marketing to extend launches across campaigns, events, and distribution channels
Ensure Dust’s product positioning and differentiation remain clear and consistent as the platform evolves
Create a reliable pipeline of high-quality product content that teams across Dust can use and distribute
3–5+ years of dedicated product marketing experience, ideally with strong PMM foundations from an established B2B technology company and hands-on experience in a high-growth startup
A track record of personally owning technical B2B product or feature launches from positioning through execution
Exceptional product storytelling skills, with the ability to make complex technology clear, credible, and compelling
The range to create across formats, including positioning and messaging, web, written content, social, presentations, and video or demo storytelling
Strong technical curiosity and the ability to build credibility with engineers by asking thoughtful questions and quickly getting fluent in the product
Strong taste and an informed point of view on what great modern product marketing looks like
Comfort operating with ambiguity and figuring out the right approach rather than defaulting to an established playbook
A hands-on working style. You’re as comfortable writing the copy, developing the storyboard, or building the launch plan as you are setting the strategy
Deep fluency in and curiosity about AI. You’ll use Dust to run your own function and become deeply familiar with how our customers are putting AI to work
Based in New York
We're prioritizing building our team with an in-person culture at our offices in Paris, London, 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.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
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.
At Dust, 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 Dust. 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 Dust 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 Dust 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.
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.
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.
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.
Every candidate and employee's success is measured against the same 3 dimensions: Aptitude, Attitude and Agency.
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 leadership: You've coached and developed engineers and know how to set expectations, give direct feedback, and raise the performance of the people around you.
Bidirectional communication: can translate technical concepts to non-technical audiences and speak technical language fluently with engineers.
Build/Run mindset: You believe the best Support Engineering teams don't just resolve issues. They build systems that prevent those issues from recurring.
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.
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.
Competitive compensation based on level and experience
$240,000 - $350,000
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
We're prioritizing building our team with an in-person culture at our offices in Paris, London, 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.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
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.
At Dust, 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 Dust. 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 Dust 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 Dust 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.
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.
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.
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.
Every candidate and employee's success is measured against the same 3 dimensions: Aptitude, Attitude and Agency.
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 leadership: You've coached and developed engineers and know how to set expectations, give direct feedback, and raise the performance of the people around you.
Bidirectional communication: can translate technical concepts to non-technical audiences and speak technical language fluently with engineers.
Build/Run mindset: You believe the best Support Engineering teams don't just resolve issues. They build systems that prevent those issues from recurring.
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.
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.
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
We're prioritizing building our team with an in-person culture at our offices in Paris, London, 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.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
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.
As a Business Development Representative at Dust, you'll be instrumental in generating the qualified pipeline that fuels our rapid growth. This isn't a typical BDR role: you'll be pioneering AI-native sales development, using Dust's own platform daily to transform how prospecting and qualification work. You'll be joining at a pivotal moment as we scale from 60 to 180 people, working directly with technical leaders and founders at scale-ups and enterprise companies to connect their challenges to Dust's value. This role offers a front-row seat to category creation and a clear path to growth within our GTM organization.
Drive qualified pipeline generation
Identify and qualify new sales opportunities through targeted outreach to scale-ups and enterprise companies
Conduct cold calls and discovery conversations with technical leaders, founders, and decision-makers
Qualify leads by understanding their pain points and connecting business challenges to Dust's value proposition
Own the qualification and handoff process
Nurture prospects until they're sales-ready, providing detailed context to Account Executives and Solution Engineers
Ensure smooth handoffs that convert to high-quality SQLs with clear next steps
Track and manage your pipeline in close partnership with the GTM team
Experiment and optimize the sales motion
Collaborate with Marketing and GTM Engineers to test outbound campaigns and double down on what works
Define target personas and develop prospecting strategies to access key accounts
Use data to refine your approach and continuously improve conversion rates
Be a Dust power user
Use Dust agents daily to prospect, qualify, research accounts, and manage your workflow
Embody \"Work AGI\" by transforming your own processes and sharing what you learn with the team
Every candidate and employee's success is measured against the same 3 dimensions. Aptitude, Attitude and Agency.
Aptitude
1-2 years working in Tech sales, or demonstrated hunger to break into tech sales with relevant transferable skills
Excellent communication skills in English to engage effectively with technical stakeholders; French is a strong plus for European market coverage
You know how to grab attention and adapt your message to different audiences
Strong coachability. You absorb feedback, iterate quickly, and continuously improve your approach
Performance-oriented mindset with a track record of meeting or exceeding targets
Attitude
Team player who thrives in a collaborative, high-growth environment and actively shares knowledge
Self-aware and reflective. You own your results, learn from setbacks, and don't deflect responsibility
Strong ownership mentality. You take pride in your work and care about the impact you create
Ability to handle rejection with resilience and maintain a positive, curious attitude
Natural collaborator who makes the people around them better
Agency
Hustle mentality. You see opportunities and act on them without waiting to be told
Ownership over outcomes, not just tasks, you drive results end-to-end
Resourceful problem-solver who finds ways forward even with limited information
Track record of self-initiated projects or going beyond what was asked
Comfortable making decisions and moving fast in ambiguous, evolving situations
Competitive compensation: $100k-$145k
Equity package in a Sequoia-backed startup
Health insurance for you and your dependents
Office in the heart of San Francisco
Regular team events and offsites
We're prioritizing building our team with an in-person culture at our offices in Paris, London, 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.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
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.
We are hiring a Founding Customer Success Lead/Manager for the UK market.
This is a high-ownership role for someone who wants to build a market and a function, not simply manage a book of business or an expansion. You will work with some of our most strategic customers, helping them move from initial experimentation to broad, measurable adoption of AI across their organizations.
You will own the full customer journey, from executive alignment and implementation through long-term adoption, value realization, renewal, and expansion. You will build trusted relationships with C-level and VP-level leaders, help customers navigate the organizational change that comes with adopting AI, and turn successful customer outcomes into a repeatable Customer Success motion from our London HQ.
As our first senior Customer Success leader based at the London HQ, you will help define how Dust serves customers from the office. You will create playbooks, establish operating rhythms, shape our approach to executive engagement, and feed what you learn back into the wider Customer Success, Sales, Product, and Deployment teams.
Dust is an AI-native company, and that changes what Customer Success can look like. You will help customers understand how AI can reshape their work while using AI to make your own practice more effective, scalable, and precise.
This role is suited to someone who combines executive presence with a strong builder's mindset. You should be comfortable operating without a finished playbook, making decisions with incomplete information, and taking responsibility for outcomes from beginning to end.
Own a portfolio of strategic enterprise customers, building durable relationships across executive, business, technical, and operational stakeholders.
Establish trusted-advisor relationships with C-level and VP-level leaders, helping them define their AI strategy and turn that strategy into meaningful business outcomes.
Lead complex customer journeys from kickoff through adoption, renewal, and expansion. You will coordinate the right people at the right time and make sure progress does not stall between teams.
Drive measurable value realization by helping customers identify, quantify, and communicate outcomes such as time saved, costs reduced, faster execution, and improved decision-making.
Lead executive business reviews and other strategic customer conversations, connecting product usage to business impact and creating a clear path to the next stage of adoption.
Support customers through enterprise-wide change management, including rollout planning, governance, internal enablement, use-case discovery, and the transition from individual experimentation to organization-wide adoption.
Identify and develop expansion opportunities across teams, functions, and geographies. You will partner closely with Sales to turn strong adoption and customer outcomes into sustainable account growth.
Orchestrate internal resources across Customer Success, AI Deployment Strategy, Forward-Deployed Engineering, Product, and Sales to deliver a cohesive customer experience.
Build the foundations of Dust's Customer Success motion from the London HQ, including account planning, executive engagement, adoption frameworks, value reviews, customer education, and feedback loops.
Represent the voice of customers inside Dust by turning customer needs, use cases, and patterns into clear product feedback, strategic insight, and better ways of working.
Contribute to the broader Customer Success team by sharing what works, raising the bar for strategic account management, and helping shape how a GenAI-native CS organization operates.
You have 8+ years of experience in Customer Success, account management, consulting, solutions, or a related customer-facing role, with a strong track record of owning and growing strategic enterprise accounts.
You have worked with complex organizations where adoption requires sustained executive alignment, cross-functional coordination, and thoughtful change management over multiple quarters.
You have successfully managed senior customer relationships, including the ability to influence C-level and VP-level stakeholders and communicate credibly with business and technical audiences.
You have a track record of driving measurable customer outcomes, renewals, and expansion. You can move comfortably between strategic conversations and the operational details needed to make progress.
You have built or improved Customer Success processes, playbooks, or operating models. You know how to create structure where little exists and how to turn individual success into a repeatable motion.
You understand how technically sophisticated products are adopted inside large organizations. Experience with AI, developer tools, data platforms, enterprise software, or another emerging technology category is highly valuable.
You are fluent in AI concepts and are genuinely curious about how agents, language models, and automation will change the way companies operate. You do not need to be an engineer, but you should be able to engage confidently with technical teams and build practical AI fluency with customers.
You communicate with clarity and conviction in English, both in writing and in executive settings. French is helpful because you will work closely with our Paris-based teams, but it is not essential.
You have strong judgment, initiative, and ownership. You make sound decisions under ambiguity, follow through on commitments, and take responsibility for the outcome rather than waiting for perfect instructions.
You are comfortable being both strategic and hands-on. You can lead an executive business review in the morning, rethink an onboarding process in the afternoon, and write the first version of a playbook when the team needs one.
You are generous with context, direct in your communication, and committed to working as part of a team. You make the people around you better.
In your first six months, you will have:
Built strong relationships with the key executives, champions, and decision-makers across your customer portfolio.
Created clear account plans and adoption strategies for each strategic customer.
Established a repeatable approach to executive engagement, value realization, and expansion planning from the London HQ.
Helped customers move from isolated AI experiments to repeatable, high-value workflows used across teams.
Identified the most important customer and market patterns and turned them into actionable feedback for Dust's Product and Go-to-Market teams.
Created the first building blocks of a scalable Customer Success playbook.
Over time, you will help make Dust indispensable to some of the most ambitious companies and define what exceptional Customer Success looks like for an AI operating system.
We're prioritizing building our team with an in-person culture at our offices in Paris, London, 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.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
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.
We are about to hire the people who will define the next phase of this company. Not backfill a plan someone else wrote — define it. The quality of who joins Dust over the next eighteen months is the single highest-leverage variable in whether we build the category or watch someone else do it.
That work needs a recruiter who treats hiring as a craft rather than a queue. Someone who can hold a real point of view on what \"great\" looks like for a role, defend it with a hiring manager who disagrees, and then go find that person themselves — from a cold start, without a lead gen team, a sourcing pod, or a playbook waiting for them.
You'll be an early member of a small Talent team. That means you own roles end to end, and you also help build the thing itself: the assessment design, the interview loops, the calibration, the data we use to know whether any of it is working.
We're looking for someone who cares about the candidate experience for all parties internal and external. And prioritizes protecting Dust's culture by being thoughtful, thorough and leading by example in being a true team player.
Full-cycle hiring, end to end. You run your own searches from role kickoff to close. Sourcing, outreach, screening, interviewing, offer strategy, negotiation. You are the owner of the outcome, not a coordinator of other people's opinions.
Assessment design, not just assessment delivery. For every role you open, you help define what evidence would actually predict success — then you build the loop that surfaces it. You'll push back on interview stages that exist out of habit and replace them with ones that test something real.
Hiring manager partnership with a spine. You'll spend as much time calibrating hiring managers as you do talking to candidates. When a manager says \"not quite the right feel,\" you'll ask what they mean until there's a defensible answer, and you'll say so when there isn't one.
Market intelligence. You'll know your talent market better than anyone else in the building — who's good, where they are, what moves them, what compensation actually looks like right now — and you'll bring that back into how we scope roles and design offers.
The candidate experience. Our hiring process is the first honest sample of what working here feels like. You'll make it expedient, direct, well-communicated, and worth a candidate's time whether or not they get an offer.
Building the function. Process, tooling, structured scorecards, funnel data, quality-of-hire signal. You'll leave the system better than you found it, and you'll be trusted to change it without asking permission first.
We're hiring for depth in one of two areas. You should have a genuine centre of gravity in one; interest in the other is a bonus, not a requirement.
GTM. Account Executives, Sales Engineers, Customer Success, Marketing, and the leaders above them, across Europe and the US. You know how to assess commercial talent on evidence rather than swagger, and you can tell the difference between a rep who carried a territory and a rep who inherited one.
Technical. Software engineers, infrastructure, product, and design, in a market where the best people are not looking and the second-best are drowning in outreach. You can hold a credible conversation about what someone actually built, and you know why that matters more than where they built it.
We're telling you this up front because if you disagree with it, this will be a frustrating job.
We don't hire based on pedigree. Logos and school names are weak evidence. What someone has actually done, and what they can demonstrate now, is strong evidence. We design our loops accordingly.
We hire for evidence, not affinity. \"Culture fit\" that means \"reminds me of me\" is how companies get homogeneous and slow. We assess against explicit behaviours tied to how we work, and we write down what we saw.
Speed and rigour are not in tension. Slow processes are usually a symptom of unclear thinking about the role, not of high standards.
A no should be as clear as a yes. To the candidate, and internally.
Some of us came from well-known companies. That's context, not criteria. It isn't why we're here and it won't be why you are. We celebrate everyone's achievements and want to create an environment where diversity of thought and experience of a collective whole makes this place exceptional and lasting.
Recruiters are operators, not order-takers. If you think a role is wrongly scoped, badly levelled, or shouldn't be open at all, you're expected to say so.
5+ years in full-cycle recruiting, with meaningful time in-house at a high-growth company. You've hired in an environment with real ambiguity, not just real volume.
Demonstrable depth in either GTM or technical hiring — you can talk through searches you've run, what made them hard, and what you'd do differently.
Genuinely strong sourcing. Not \"I partner with a sourcing team.\" You find people yourself, and you write outreach that people reply to because it's obviously written by a human who read something.
Comfort operating without infrastructure. No playbook, no SDR equivalent, limited tooling to start.
The judgement and directness to challenge senior stakeholders, and the credibility to be listened to when you do.
A bias to start. You see the gap and close it before anyone asks you to.
Excellent written English and a real feel for language. Everything you write is a piece of our employer brand.
Low ego, high ownership. No job is too big or too small — you'll design an assessment framework in the morning and chase a scheduling conflict in the afternoon.
Based in Paris, London or New York.
Ideal, but not required: experience hiring in AI or developer-facing companies; experience building or improving a hiring process rather than inheriting one; multi-market hiring across Europe and the US.
We build the AI operating system that companies use to rewire their work. We expect our own team to be the sharpest possible example of that.
You'll build and run your own Dust agents: market maps, candidate research, interview debrief synthesis, competitive intelligence on where talent is moving. Not as a side project — as how the job gets done. You don't need to have done this before, but you do need to be the kind of person who is genuinely excited to, rather than politely tolerant of it.
You'll also be one of our most credible internal sources of feedback on the product, because you'll be a heavy user of it every day.
This role is based in Paris, London or New York, and we'd love you to spend real time in the office with the team. A lot of the best things about building at Dust happen because people are in the same room: the energy, the fast decisions, the unexpected conversation that unlocks a hard problem.
We hire people with strong judgement and extend that trust to how they manage their time.
We'll tell you the full loop up front, keep it to a small number of stages, and give you a decision quickly. You'll meet the people you'd work with, not a panel of proxies. Expect at least one stage where you work through a real hiring problem with us rather than describing a past one.
If you don't check every box, apply anyway. We're more interested in your potential and how you think than a perfect match to a checklist.
Please send your application and resume in English.
We're prioritizing building our team with an in-person culture at our offices in Paris, London, 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.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
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.
This is Dust's first PM hire. You'll work closely with the product team, turning raw GTM signal, company priorities, and user feedback into well-formed problems the team can act on.
A lot of product signal doesn't reach the team in an actionable shape today. You'll create and run the process that connects signal to shaping to prioritization.
Implementing company strategies across functions requires ownership and orchestration. You'll translate company priorities into an intelligible, trackable set of product, marketing, and operations initiatives.
You'll enrich prioritized projects with distilled business and user context and market perspective so that the people building them make better decisions.
Our designers and engineers stay close to product decisions from conception to delivery. You're here to make their context richer and their priorities sharper. You enable distributed ownership, you don't replace it.
Qualify and synthesize feedback: Sit at the intersection of GTM, users, and product. Turn high-volume, unstructured input into a small set of well-framed problems worth solving.
Shape initiatives: Work with engineers and designers to translate validated problems into initiatives ready for Stack Rank — with clear objectives, KPIs, and scope.
Drive outcome tracking: Own reporting on whether what shipped actually moved the needle. Feed that back into the next round of decisions.
Improve internal coordination: Connect Marketing, Comms, GTM, and Product — reduce the friction that slows things down when multiple functions need to move together.
Own outcomes, not outputs: For cross-functional initiatives, you'll own the goal — objectives, KPIs, orchestration, reporting.
Own artefacts in the Dust platform (agents, skills, data, etc..) to continuously rewire and augment the above for yourself and the team
Dust is a growing team of about a 100 people. Most of the product and engineering team is based in Paris, with close collaboration across our teams in New York, San Francisco, and London.
The process is designed to understand how you think, collaborate, and operate in an ambiguous, technical environment:
Recruiter conversation: motivation, background, logistics, and fit for an early-stage environment.
Hiring DRI conversation: discussion with a senior member of the product team.
Product exercise: collaboration exercise based on a real company priority.
Founder conversation: discussion with one of our founders on product judgment, attitude, and ability to operate with distributed authority.
Onsite: working sessions with members of Engineering, Design, and GTM. We’ll look at how you gather context, identify the important problems, collaborate on possible approaches, and leave ownership with the people closest to the work.
We care more about the quality of your reasoning and collaboration than about arriving at a predetermined answer.
Founding PM mentality: Senior individual contributor and builder balancing capacity to build the practice in the company while being hands-on.
5–8+ years of product experience, including time at an early-stage company where you had to build process from scratch.
Genuine product taste. You know great from good in the world of tech products, and you bring deep perspective, judgment and conviction to any preferences you voice.
Excellent information synthesis skills, distilling a messy pile of customer feedback, sales calls, and Slack threads into sharp problems.
Technical proficiency earn the respect of engineers. You don't need to code, but you understand systems and tradeoffs easily deeply.
Builder mindset at heart. You use AI tools fluently and you're excited about what they unlock for how PMs operate. You've thrived in environments where everyone is a builder and you want to strengthen that.
Effective communication. You'd rather say one clear thing than three vague things.
Comfort with distributed authority. You influence by being right, not by being in charge.
We're prioritizing building our team with an in-person culture at our offices in Paris, London, 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.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
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.
We're expanding into the UK and Ireland, and this is the role that makes it real. As an early Account Executive in the region, you'll own the full sales cycle across fintech, financial services, and B2B SaaS — landing net-new logos and building the GTM motion from the ground up. You'll work alongside a dedicated Solutions Engineer and BDR, but this is a builder role: you'll shape how Dust sells in this market, not inherit a finished playbook. If you want a career-defining opportunity to open a market for a product you believe in, this is it.
Drive net-new logo acquisition across fintech, financial services, and B2B SaaS — hitting $250K/quarter ramping to full quota by Q3
Self-generate pipeline when BDR-sourced pipe is thin; attend events and customer workshops to build presence and create opportunities
Convert pilots to closed contracts at a ~65% rate, managing deal cycles end-to-end without heavy support infrastructure
Lead discovery calls that surface genuine workflow pain and connect it credibly to Dust's platform capabilities
Navigate multi-stakeholder buying processes — including technical buyers (VP Eng, CTO, Head of Data) and business stakeholders across CS, RevOps, and Finance
Partner with Solutions Engineers to deliver compelling, tailored demos that turn sceptics into believers
Work with management to shape the regional GTM motion — what ICPs convert, what messaging lands, what the buying journey looks like in the UK market
Collaborate closely with the GTM team to refine outbound targeting and sequencing based on what you're seeing in the field
Feed market intelligence back to the broader sales and product teams to inform how Dust evolves
Position Dust's platform with conviction to technical and business decision-makers who are actively building AI strategies
Engage meaningfully on how AI is reshaping how companies operate — not just as a vendor, but as a practitioner who uses Dust yourself
Help prospects understand the difference between Dust and point solutions or build-your-own approaches
Work closely with the broader sales, marketing and product teams by sharing context, feedback, and what you're learning from the market
Contribute to a nascent UK team culture — the way you operate will shape what the regional team looks like as it grows
Every candidate and employee's success is measured against the same 3 dimensions. Aptitude, Attitude and Agency.
Track record of closing mid-market deals across multi-stakeholder buying committees in B2B SaaS or technical software — you can articulate exactly how you won, not just that you did
Proven ability to sell to technical buyers and translate complex product capability into clear business outcomes for non-technical stakeholders
Strong outbound instincts — you can identify the right accounts, build compelling and personalised messaging, and open doors without heavy SDR coverage
History of consistent quota attainment in lean, low-infrastructure environments where you built the motion rather than executed against a mature playbook
Genuine AI fluency — you actively use AI tools in your own workflow and can speak credibly to how AI is reshaping operations across the verticals you'll be selling into
Energised by ambiguity — building a new market from scratch excites you more than executing against a finished playbook
Makes the people around them better — you collaborate generously with SE and BDR, share what you learn, and create lift for the team without ego
Gives and receives direct feedback; surfaces problems early rather than letting them compound quietly
Goes deep on customers, their industries, and their specific pain — curiosity is your competitive advantage
Believes in the mission and it shows — you sell with conviction because you use Dust and understand what it does
Defines your role in outcomes, not tasks — you own UK revenue growth, not a list of responsibilities
Self-generates pipeline and invents new approaches when existing channels are insufficient, without waiting to be told
Drives deals end-to-end without escalation or hand-holding — from first touch to closed contract, you own the path
Spots gaps in the UK GTM motion and proposes solutions proactively rather than flagging problems upward
Shows up to this process with initiative — you've researched Dust, used the product, and come with ideas, not just questions
We're prioritizing building our team with an in-person culture at our offices in Paris, London, 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.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
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.
As Head of Customer Success US, you will help companies rethink how work gets done with AI and turn that ambition into lasting business value. You will build and lead the US Customer Success organization that helps customers identify their highest-value opportunities, embed agents into everyday workflows, and demonstrate measurable impact.
You will also help define what Customer Success becomes in a rapidly evolving AI world. You will hire and develop exceptional people, shape our US approach, and pioneer new ways to deliver customer outcomes, using AI to rethink how we engage, enable, and support customers at scale. As capabilities and customer expectations evolve, you will continually challenge and improve the model rather than simply apply an existing SaaS playbook.
You will initially own a focused portfolio of strategic customers to ground those decisions in firsthand experience. As the team grows in 2027, you will progressively hand over those accounts and focus on leading and scaling the organization.
Define and lead the US Customer Success approach, including customer segmentation, account coverage, and the right level of engagement for each account.
Establish and run an agreed US Customer Success scorecard covering sustained adoption, time-to-value, demonstrated customer value, and retention. Use it to prioritize the team’s work and surface risk early.
Create operating rhythms that turn customer health, renewal risk, and expansion opportunities into clear actions and ownership.
Make prioritization and resourcing decisions that balance customer urgency, strategic value, commercial importance, and team capacity.
Initially manage a focused portfolio of strategic and high-complexity accounts, delivering customer outcomes while identifying where specialist expertise, better processes, or additional capacity would make the team more effective. Progressively transfer account ownership as you build the team.
Build trusted relationships with champions and executive sponsors, agree what success means for their business, and establish how to measure it. Help customers demonstrate the value realized from Dust and identify where to expand that impact.
Help customers turn promising AI use cases into reliable, adopted workflows, partnering with Deployment Strategists and Solutions Engineers on technical delivery and working with Sales on renewals and expansion.
Build champion networks and practical customer enablement programs that help teams adopt Dust, create useful agents, and expand successful use cases across their organization.
Serve as the senior escalation point for high-stakes customer situations.
Partner with Customer Success colleagues and leadership across Dust to shape what Customer Success means in an AI-first world, including how we engage customers, drive adoption, demonstrate value, and combine human expertise with AI.
Test new approaches through US customer deployments and share the evidence, tools, and practices that can improve customer outcomes across Dust.
Identify where US customer needs, buying processes, or adoption patterns call for a different approach. Adapt execution locally while contributing to a coherent global model.
Manage and develop the US Customer Success team through clear goals, regular 1:1s, account reviews, performance feedback, and career development.
Define the team growth plan with leadership: which roles to hire next, which skills to develop internally, and where to add capacity. Take an active role in recruiting and onboarding.
Establish clear ownership and progressively delegate customer delivery, developing people who can lead relationships independently and take on broader responsibilities as the organization grows.
Improve the transition from Sales to Customer Success, with clear stakeholder mapping, priority use cases, success criteria, and delivery ownership.
Agree clear responsibilities with Sales for renewal readiness, forecasting, expansion identification, and commercial execution, then keep account strategies aligned with AEs.
Coordinate Customer Success, Deployment Strategists, Solutions Engineers, and other post-sales partners around shared outcomes, with clear responsibilities for customer relationships and technical delivery.
Translate recurring customer needs into evidence-based Product feedback, distinguishing product gaps from deployment or adoption issues and explaining their business impact.
Every candidate and employee's success is measured against the same 3 dimensions. Aptitude, Attitude and Agency.
Aptitude
You have at least 5 years of experience leading Customer Success or post-sales teams in B2B SaaS, with a track record of hiring, developing people, and improving team performance. A previous Head of Customer Success title is not required.
You have delivered and demonstrated measurable customer value, translating business priorities into success criteria and helping customers assess the impact of adoption. You can communicate that value credibly to executive stakeholders and connect it to retention and expansion.
You can influence beyond your reporting lines, aligning colleagues across functions and regions around shared post-sales practices while recognizing where customer or market needs require a different approach.
You can explain how AI agents fit into customer workflows, recognize common integration, governance, and reliability constraints, and work effectively with technical specialists to resolve them. You can translate between business priorities and product capabilities without needing to be the implementation engineer.
You use AI actively and can show practical impact, such as a workflow you built or improved, how you assessed its quality, and how it helped you or your team work more effectively.
Attitude
You treat customer outcomes as the north star, not activity metrics, and build trust through preparation, clarity, follow-through, and honest communication.
You surface risks and difficult information early, working constructively across functions to solve customer problems rather than treating them as someone else’s responsibility.
You raise the standard while helping others succeed, giving direct feedback, welcoming challenge, and combining high expectations with thoughtful coaching.
Agency
You create impact beyond your own work, turning customer insight into clear decisions, repeatable practices, and ownership that enable others to deliver independently.
You question established approaches and learn through experimentation, using customer evidence to test new ways of delivering success. You adapt as AI capabilities and customer expectations evolve, judging new approaches by their impact rather than their novelty.
You make thoughtful prioritization and resourcing decisions, balancing customer urgency, strategic value, commercial importance, and team capacity. You find ways to improve outcomes through better systems and AI-enabled workflows as well as hiring.
Competitive compensation: $260,000–$340,000 OTE
Significant equity package in a Sequoia-backed startup
Health insurance for you and your dependents
New MacBook Pro or Linux machine, monitor, keyboard, etc.
Beautiful office in the heart of SoHo (NYC)
Opportunity to travel to Paris multiple times a year
Regular team events and offsites
We're prioritizing building our team with an in-person culture at our offices in Paris, London, 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.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
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.
Dust is hiring a Global Head of Solutions Engineering to build the technical customer-facing organization required for our next stage of growth.
You will lead our global Solutions Engineering function across pre-sales and post-sales. You will own how Dust earns the technical win during complex enterprise evaluations and how we deepen the value, adoption, and stickiness of Dust during and after deployment through advanced use cases and technical solutions.
This is a founding player-coach role. During your first year, you will remain directly involved in our most important customer engagements while significantly scaling the team, and building the repeatable motions that allow the organization to operate without depending on you for every decision.
You will have authority over the organization’s structure, hiring, performance, career paths, technical standards, coverage, resource allocation, and operating model. As a member of Dust’s GTM leadership group, you will work closely with Sales, Customer Success, AI Deployment, Product, and Engineering to connect customer ambition, technical execution, and business value.
The opportunity is larger than building a traditional SE team. You will define how an AI-native Solutions Engineering organization helps customers move from understanding Dust’s potential to making it a critical part of how their companies operate.
Define the global vision, strategy, and operating model for Solutions Engineering at Dust.
Lead the organization across pre-sales and post-sales Solutions Engineering.
Design the team structure, leadership model, roles, career paths, coverage model, operating standards, and performance systems.
Significantly scale the team across Paris, New York, San Francisco and London.
Hire, develop, and manage both Solutions Engineers and future SE leaders.
Establish a high talent bar and build a team that combines technical depth, business judgment, executive presence, and customer empathy.
Create clear decision rights and operating rhythms across regions and functions.
Allocate Solutions Engineering resources based on opportunity complexity, customer impact, strategic importance, and likelihood of success.
Build the systems and leadership capacity required for the function to scale without relying on linear headcount growth.
Define how Dust qualifies, scopes, and executes complex enterprise technical evaluations.
Partner with Sales leadership to improve technical win rate, evaluation conversion, qualified pipeline coverage, and evaluation velocity.
Develop the technical strategy for Dust’s most important enterprise opportunities.
Build a clear understanding of why Dust wins and loses technical evaluations, then turn those insights into improvements across the organization.
Ensure successful evaluations transition into deployment with clear use cases, architecture, dependencies, ownership, and success criteria.
Raise performance across discovery, demonstrations, solution design, pilots, architecture reviews, security validation, and technical handoffs.
Build the post-sales Solutions Engineering motion that helps customers adopt more advanced, valuable, and sticky use cases.
Partner with Customer Success on strategic workshops, complex integrations, new architectures, and technically influenced expansion.
Establish a clear interface with AI Deployment, which owns initial implementation, enablement, production use, and first measurable value.
Turn successful engagements into reusable playbooks, reference architectures, technical assets, and AI-native workflows.
Establish consistent methods for allocating resources, identifying risk, inspecting opportunities, and learning from outcomes.
Reduce dependence on individual heroics while preserving the judgment required for complex enterprise situations.
Turn recurring customer needs into clear input for Product and Engineering.
Strengthen Dust’s technical positioning across enterprise AI, integrations, security, governance, and agent architecture.
You have built, scaled, or significantly transformed a Solutions Engineering, Solutions Architecture, Customer Engineering, Technical Account Management, or comparable customer-facing technical function.
You have recruited, retained, and developed exceptional customer-facing technical talent across multiple regions, segments, or customer motions.
You have owned measurable GTM outcomes and personally helped win complex enterprise opportunities.
You understand both pre-sales technical execution and how post-sales Solutions Engineering can deepen adoption, value, and expansion.
You combine strong technical credibility across enterprise architecture, integrations, security, governance, and AI systems with clear business judgment.
You can remain close to strategic customers while building an organization that does not depend on you for every decision.
You introduce the structure needed to scale without creating unnecessary process.
You are a hands-on, low-ego leader who communicates clearly across Sales, Customer Success, AI Deployment, Product, and Engineering.
Advise customers on where AI agents can create meaningful value
Reason about model selection, prompting, context management, tool use, retrieval, evaluations, reliability, latency, and cost.
Explain the capabilities and limitations of modern AI systems clearly to technical teams, business leaders, and executive stakeholders.
Identify integration, security, data governance, and scalability risks.
Reason about APIs, authentication, data connectors, enterprise systems, and cloud architectures.
Design evaluation approaches that connect AI-system performance to customer and business outcomes.
Coach Solutions Engineers through difficult AI, architecture, and customer decisions.
Recognize excellent technical work and hold the organization to a consistently high bar.
Competitive compensation: $275K–$350K OTE (NY); 130-160k EUR OTE (Paris)
Significant equity package in a Sequoia-backed startup
Relocation support
Health insurance for you and your dependents
New MacBook Pro or Linux machine, monitor, keyboard, etc.
Beautiful offices in the heart of NYC and Paris
Opportunity to travel to offices and work with the global team multiple times a year
Regular team events and offsite
We're prioritizing building our team with an in-person culture at our offices in Paris, London, 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.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
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.
We're hiring our first dedicated BDR for the UK market to build and own early-stage pipeline in London. This is a net-new role — you won't inherit a warm book of business, and that's the point. You'll be the person who figures out how we win in the UK, running outbound from day one with real ownership over a market we're just beginning to unlock. For the right person, this is a direct path to AE.
Run high-volume, high-quality outbound across email, LinkedIn, and cold calling targeting UK enterprise buyers
Build and iterate on sequences that get responses — you write the copy, test the angles, and improve the numbers
Hit 30+ meetings booked per month, consistently
Represent Dust at UK-based events and convert conversations into pipeline
Own follow-up from events with speed and precision — no leads left to go cold
Feed event insights back into outbound messaging
Partner with AEs on follow-up for warm conversations that need a nudge
Help keep deals moving in the early stages without taking over the sales cycle
Be the connective tissue between early interest and a qualified meeting
Develop genuine fluency in Dust's product and how it maps to UK buyer problems
Stay close to what's happening in the UK AI and enterprise software landscape
Use that knowledge to personalise outreach and earn credibility with buyers fast
Track what's working and what isn't — bring data and hypotheses, not just activity
Contribute to a BDR playbook that doesn't exist yet; you're building it
Use AI tools to research accounts, personalise at scale, and work smarter
Every candidate and employee's success is measured against the same 3 dimensions. Aptitude, Attitude and Agency.
You have prior BDR experience and a proven record of booking meetings through outbound — cold calling, email sequencing, and LinkedIn are second nature
You can hold a sharp, credible conversation with a senior buyer that earns an AE meeting, not just a rejection
You know how to manage and improve your own metrics — pipeline velocity, conversion rates, outreach quality — without needing to be coached on what to track
You're genuinely fluent in AI tools and use them to research accounts, personalise outreach, and scale your output — not as a novelty but as a core part of how you work
You understand the UK enterprise software landscape well enough to know who to target, how to reach them, and what they actually care about
You're resilient — rejection is information, not discouragement, and you stay sharp across a full day of outbound
You're collaborative with AEs and the wider team without being dependent on them to generate your pipeline
You give and receive direct feedback, and you're honest about what's working and what isn't
You're scrappy — you find a way when the playbook doesn't exist, and you don't wait for perfect conditions to perform
You show up prepared, energised, and ready to represent Dust well in every interaction with a prospect
You don't wait for a territory or a sequence to be handed to you — you build your own approach and take ownership of the UK market from day one
You're on track to be an AE and you act like it — you understand the full sales motion and you're already thinking about what comes after the meeting is booked
You iterate on your messaging independently: you test, analyse, and improve without being asked
You spot gaps in coverage — an untouched segment, a weak follow-up cadence, a missed event — and you act on them before anyone else notices
You treat 30 meetings/month as a floor, not a ceiling
We're prioritizing building our team with an in-person culture at our offices in Paris, London, 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.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
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.
Dust is hiring a Global Head of AI Deployment & Partner Delivery to make high-impact Dust deployments repeatable at scale.
When customers deploy Dust well, AI agents become part of how their teams work every day. Your job is to make that happen consistently, whether a deployment is led by Dust or by a trusted partner. You will lead our most complex customer deployments, turn what works, technically and organizationally, into clear playbooks, and build the partner delivery capacity that lets more customers succeed with Dust in 2027 and beyond.
This is a player-coach leadership role. You will lead and grow Dust’s global AI Deployment team, stay directly involved in our most important deployments, and build the methods, standards, and partner network that allow delivery to scale without depending on you for every engagement.
You will work closely with Sales, Customer Success, Solutions Engineering, Partnerships, Product, and Engineering to connect what customers want to achieve with how deployments are planned, delivered, and measured.
This is a chance to define how an AI-native company delivers transformation: what an exceptional deployment looks like, how value is measured, and how partners become delivery teams our customers trust.
Lead Dust’s existing global AI Deployment team and set its direction, priorities, and standards.
Hire and develop deployment leaders and practitioners as customer demand grows.
Shape roles, career paths, and coverage across regions, customer segments, and deployment types.
Coach the team through complex customer situations and hold a consistently high bar for the work.
Set up the operating rhythms, capacity planning, and reporting the function needs to scale.
Build one deployment method, from discovery through handoff, that Dust and partner teams can both follow to the same standard.
Define which deployments Dust should lead, which a partner can deliver well, and how work moves between the two.
Set clear entry and exit criteria and go-live readiness checks, and track delivery health: time to first value, go-live quality, and customer satisfaction.
Run regular delivery reviews, spot at-risk engagements early, and bring the right Dust and partner people together quickly when a deployment is blocked.
Turn lessons from each engagement into reusable playbooks, templates, and reference architectures, and recurring friction into clear input for Product and Engineering.
Personally lead complex, high-priority, and first-of-their-kind deployments, from scoping to lasting adoption, bringing in Solutions Engineering, Product, and Engineering when complexity or risk calls for it.
Help customer leaders define what AI transformation means for their organization: map how teams work today and identify the workflows where agents can create the most value.
Align executives, IT, security, and business teams on goals, use cases, and success measures, with a baseline before launch and measured impact after.
Design change programs for each deployment: executive sponsorship, communication plans, role-based enablement, and clear adoption milestones.
Develop AI operators and champions inside customer teams, and help customers update ways of working, governance, and ownership so agents become part of how teams operate.
Track adoption after launch, act quickly when teams aren’t changing how they work, and hand off to Customer Success with a clear picture of what comes next.
Work with Partnerships to assess partners’ delivery capability, technical depth, and customer readiness.
Start with a small, carefully selected group of partner practitioners and grow capacity as quality is proven.
Co-create onboarding, training, certification, and train-the-trainer programs so partners can develop their own Dust experts.
Co-deliver early partner engagements, then help partners progress toward delivering independently, leading adoption, not just implementation.
Ensure customers experience Dust and its partners as one aligned team, with clear responsibilities on every engagement.
You have at least 6 years of experience leading and developing customer-facing deployment or delivery teams, ideally across multiple regions or customer segments and through periods of fast change.
You have led complex enterprise deployments or transformation programs and delivered measurable customer outcomes.
You have built or significantly improved a deployment methodology, professional services model, or delivery function, adding the structure needed to scale without unnecessary process.
You have led organizational change alongside technology rollouts, and built champion networks or adoption plans that changed how teams work after the project ended.
You don’t need to be a machine-learning engineer. Beyond that, we care more about evidence that you have built high-performing delivery systems than about a perfect sequence of titles.
You understand how systems integrators, consultancies, and implementation partners staff, deliver, and grow a practice, and you have built enablement or certification programs that created lasting capability in teams you didn’t manage.
You have turned around engagements at risk from scope, staffing, technical complexity, or stakeholder misalignment, and you know when to standardize, when to adapt, and when to reset.
You are credible with customer executives, partner leaders, and technical practitioners, and you communicate clearly with all of them.
You are a hands-on, low-ego leader with a builder’s instinct: you would rather solve the problem than hand off a recommendation.
You are comfortable traveling to customers and partners when it matters most.
Advise customers on where AI agents can create meaningful value and where they can’t yet, and explain why to technical teams, business leaders, and executives.
Understand how agents work in practice: prompting, context, tool use, retrieval, evaluations, reliability, and cost.
Challenge a deployment plan’s assumptions about integrations, data connectors, authentication, permissions, security, and production readiness, and discuss the trade-offs with engineers.
Design evaluation approaches that connect AI performance to customer and business outcomes.
We're prioritizing building our team with an in-person culture at our offices in Paris, London, 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.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
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.
Dust is seeking a UK Partnerships Manager to grow our partner ecosystem in the UK. This is a business development role at its core: your job is to identify, engage, and activate the partners who will become a meaningful source of pipeline and revenue for Dust in the UK market.
The Solution Partner Ecosystem is the second biggest growth lever at Dust, yet UK's agency and professional services market is still almost entirely untapped.
As Partner Manager UK at Dust, you will build partnerships with leading agencies to boost partner-led revenue. Your job is to find the right partners in the UK, recruit them, and get them to their first win fast, and then transform into a repeatable motion. Working directly with our global partnerships team, you'll own the outreach motion, the onboarding, and the early relationship with every new partner you bring in, primarily AI transformation agencies and consultants.
This is a hands-on role for someone who can build a relationship quickly, has entrepreneurial, and can craft joint solutions that makes partners want to invest in Dust. You will be part of a growing global partnerships team of 6 people, with dedicated support from partner operations, solutions engineer and partner marketing.
Build Dust's UK partner ecosystem. Identify, qualify, and recruit the partners best positioned to Dust’s ICP buyers in the UK,
Drive partners to pipeline. This isn't about signing partner logos. Your success is measured by partners generating qualified opportunities, co-selling with Dust AEs, and closing deals. Own the full journey from first conversation to first partner-sourced deal
Create activation playbooks that take partners from signed agreement to actively selling. Build the training, enablement, and co-selling infrastructure needed to make partners effective
Own UK partnership pipeline and revenue targets, with latitude to experiment with creative deal structures, incentive models, and go-to-market approaches
Work hand-in-hand with UK Sales (AEs and BDRs) to ensure partners are pipeline accelerators. Build deal routing, co-selling motions, and account mapping that the sales team actually uses
Collaborate with Field Marketing (Events, Content, Community) to build joint events, co-branded content, and community activations that serve both partner development and demand generation
Stay tightly connected with the Global Partnerships team to share learnings, adapt proven playbooks, and maintain consistency where it matters
Partner with Growth Marketing to turn partner activity into scalable demand: co-hosted webinars, joint case studies, partner-led content, and event-driven pipeline
Coordinate with Product and Engineering on integration priorities, partner feedback, and joint solution development where relevant
Every candidate and employee's success is measured against the same 3 dimensions. Aptitude, Attitude and Agency.
High AI literacy, you're already using AI daily in your work and can articulate how you'd apply it to partnerships at Dust
Proven go-to-market strategy experience: customer-obsessed, first-principles thinking, not just copy-pasting past playbooks
Experience building partnerships at a startup or scale-up (not large enterprise reseller models)
Specific experience with agency partners, system integrators, or similar zero-to-one motions
Grit and sales acumen, you can convince partners, hold them accountable, and go through windows when doors are closed
Team player who solves for Dust and its customers, not just partnerships metrics
Low ego, high impact, you leverage others' work and make the broader team better
Decisive — you make tough calls on prioritisation and aren't afraid to cut partnerships that aren't working
Direct and transparent, you surface problems early and give honest feedback
User-first orientation, you frame decisions around customer outcomes without being prompted
You unblock yourself with AI and people, scaling your impact through tools and cross-functional leverage
You own outcomes end-to-end, identifying gaps, building solutions, and driving to resolution without being told
You challenge the goal when it's wrong, high agency in execution AND thinking
You've expanded your scope by solving problems no one assigned you
You launch things without waiting for permission and find ways to deliver with limited resources
We're prioritizing building our team with an in-person culture at our offices in Paris, London, 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.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
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.
Dust is growing fast, and we want every person who joins us to feel welcome, supported, connected and able to do their best work. As our People Experience Manager, you'll shape how people experience Dust, from their first day and the moments that bring us together to the way our offices in Paris, London, New York and San Francisco support the team.
We're looking for someone who is operationally excellent and creatively ambitious. You'll handle the details carefully, and you'll also look for ways to make the employee experience much better. One day you might be redesigning part of onboarding, the next planning a company offsite, acting on survey feedback, or working with a site lead to improve one of our offices.
This role works as a partner across the company. You'll work most closely with People Operations, who lead on the core people processes. Together, you'll make sure the employee experience is well run behind the scenes and thoughtful in how people actually experience it. In Paris, you'll also work closely with our Office Manager, who runs our HQ on site and leads much of our day-to-day office life and events. In London, New York and San Francisco, you'll coordinate with local site leads. You'll also work with IT, Finance, Legal, Marketing, leadership and outside partners. Your guiding principle: consistency where it matters, local adaptation where it creates a better experience.
Own the onboarding experience end to end, working closely with our People Ops Specialist, from pre-boarding and equipment to first-day logistics and the first few weeks, so new joiners can contribute from day one in every location.
Work with People Ops, IT, Finance, hiring managers, our Paris Office Manager and site leads so every handoff in the employee journey is smooth.
Partner with People Ops and IT on offboarding, so people leave with the same care they got when they joined.
Be a trusted point of contact for everyday employee questions and needs, and know when to bring in People Ops.
Run and improve our team rituals, including weekly lunches, team drinks, dinners and company gatherings.
Organise one or two company offsites or retreats each year.
Create moments that help people connect, celebrate progress and feel they belong, across offices and time zones.
Pay attention to the details that make experiences feel personal and inclusive, such as dietary needs, accessibility, preferences and team milestones.
Partner with People and Marketing on selected external and brand-building events.
Build feedback loops (surveys, conversations, informal check-ins) to understand how people experience Dust.
Turn what people tell us into concrete recommendations and visible improvements.
Define and track simple, useful measures of employee and workplace experience.
Communicate clearly and consistently about updates, events, practical information and team norms. Be assertive when needed.
Make sure our offices are safe, welcoming, functional and ergonomic, and that they reflect how we want people to feel at Dust.
Work with our office manager on day-to-day operations: supplies, maintenance, access, equipment and services.
Manage workplace vendors, contracts and budget, and look for efficient ways to improve the experience.
Spot operational needs early and fix issues before they disrupt anyone.
Help shape how our physical, hybrid and digital environments evolve as the company grows.
Set up simple, scalable processes and clear ownership across People, IT, Finance and Legal topics.
Keep the employee experience personal and high quality without making it bureaucratic.
After your first 100 days, you will have:
Built a smooth, consistent onboarding experience for every new joiner, in every location.
Delivered team rituals, events and offsites that strengthen connection and culture.
Set up feedback loops and a practical set of metrics that guide People Experience decisions.
Created well-run, welcoming offices where operational issues are handled quickly and proactively.
Established clear processes and ownership across People, workplace, IT, Finance and Legal.
Helped Dust grow its employee experience without it becoming bureaucratic or impersonal.
4+ years of experience in People Operations, People Experience, Workplace Experience in a fast growing, globally distributed environment
A proactive generalist who can handle many kinds of work at once without losing sight of the bigger picture.
Real ideas, sound judgement and the confidence to improve how things work today.
Strong operational ownership, project management skills and attention to detail.
Warmth, empathy and a genuine interest in helping people feel comfortable and connected.
Clear, direct, thoughtful communication, and discretion with sensitive situations.
Confidence working with vendors, budgets and outside partners.
The ability to build simple processes that scale, and to keep a high bar for quality while staying pragmatic.
Comfort with a fast-moving environment where priorities can change, working on your own while collaborating across the company.
We're prioritizing building our team with an in-person culture at our offices in Paris, London, 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.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.