![](\"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.
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, 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
Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024
LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024
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, 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
Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024
LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024
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 looking for an experienced frontend engineer who feels comfortable working on backend tasks as needed. In this role, you will collaborate closely with our product designer team, contributing ideas to shape the user experience while implementing features in our React-based frontend. On the backend side, you’ll contribute to REST API work and infrastructure improvements and ensure a smooth developer experience across our codebase.
![](\"https://app.ashbyhq.com/api/images/user-content/4fbed559-3472-4cab-b074-d2e2d34772be/6d948ae9-a270-4a83-81c6-6935bd4690e1/Eng%20team.jpg\")
Product-First: Unlike others focused on building foundation models, we're laser-focused on creating delightful product experiences with existing LLMs. Think “No GPUs before PMF”.
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 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.
Create delightful frontend experiences end-to-end: Design and implement visually engaging interfaces that define how users interact with Dust.
Frame and lead frontend technical projects to completion: Balance performance, accessibility, and maintainability—all with a full-stack perspective in mind.
Collaborate closely with users and product designers: Brainstorm interface solutions, gather feedback, and iterate rapidly to build delightful user experiences.
Build for scale: Architect frontend systems that gracefully handle increasing complexity while preserving simplicity and speed.
Champion best practices: Advocate for code quality, guide our design system’s evolution, and ensure every feature meets high standards of excellence.
Dive into the backend: Use Next.js (Node/TypeScript) to handle REST APIs, data retrieval, and integration tasks.
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 expert in other programming languages).
Other relevant tools and technologies:
Frontend: 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 offsite
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, 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
Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024
LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024
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
Additional Requirements:
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, 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
Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024
LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024
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
Bring best practices and raise the bar
Introduce ideas and approaches from prior experiences that make the team stronger
Proactively identify process improvements and share knowledge with teammates
Help establish the foundation for a world-class US sales organization
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
Flexible and adaptable; willing to jump into whatever is needed as Dust evolves
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
Thrive in environments without established playbooks; you help create them
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–$300K OTE (50/50 split, ramped quota of $1.3M annually)
Significant equity package in a Sequoia-backed startup
We offer relocation support
Health insurance for you and your dependents
New MacBook Pro or Linux machine, monitor, keyboard, etc.
Beautiful office in the heart of San Francisco
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, 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
Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024
LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024
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 Customer Success team at Dust partners with our customers to transform how they work with AI. As a Senior CSM, you'll act as a trusted strategic advisor managing the complete customer journey from partnership kick-off through long-term adoption, value realization, and strategic account growth.
Joining Dust also means pioneering a new form of Customer Success. As a GenAI-native company, Dust aims to illustrate how GenAI can help redefine the experience customers can expect from software and how Customer Success teams can operate with AI at their core.
You'll contribute to shaping and scaling our CS practice in a fast-paced environment that encourages a doer attitude and strong ownership over outcomes.
Lead and optimize the full customer lifecycle for your portfolio of Key & Strategic accounts, driving sustained engagement and expansion across teams and departments. Help customers identify high-impact use cases and translate them into repeatable rollout plans aligned with business goals and product capabilities.
Drive organizational AI transformation as a change management partner, working cross-functionally with customer stakeholders, including executive level, to scale AI adoption company-wide. Partner with customers on evolving their AI governance and best practices as their usage matures. Position Dust as a trusted strategic partner, not just a software vendor.
Drive measurable value realization through Enterprise Business Reviews, capturing customer impact in terms of time saved, costs reduced, and operational improvements. Drive account retention and expansion by building trusted advisor relationships, identifying opportunities, and scaling Dust’s impact across customer organizations.
Orchestrate internal resources to deliver exceptional customer outcomes, partnering closely with AI Deployment Strategists during the deployment phase, Forward-Deployed Engineers for technical escalations and custom solutions, Product for feedback loops, and Sales for expansion and renewal opportunities. Act as the central point of coordination ensuring customers receive timely, cohesive support across all touchpoints.
Be the voice of customers at Dust, providing insights on customer experience, adoption blockers, and high-value use cases to shape product development in the rapidly evolving GenAI landscape. Maintain continuous feedback loops between customer usage patterns and product roadmap priorities.
Contribute to building the CS function: help design scalable playbooks, executive engagement programs, customer health frameworks, and team processes that raise the bar for the entire Customer Success organization.
Minimum 5 years in Customer Success roles, with a proven track record driving adoption, retention, and expansion for Key & Strategic customers, preferably in the SaaS industry.
Demonstrated ability to build and manage C-level relationships and navigate complex organizational structures. You've led Executive Business Reviews, shaped multi-stakeholder adoption strategies, and influenced senior decision-makers.
Proven impact driving, developing and deploying digital adoption and enablement strategies for complex technical products in rapidly evolving landscapes. Experience with AI-driven products or emerging technology categories is a strong plus.
Proven ability to drive organizational change management and transformation initiatives, guiding customers through long-cycle adoption journeys (6-9 months) that require sustained engagement, executive alignment, and cross-functional coordination.
Proven ability to develop deep product knowledge and effectively communicate technical concepts to drive customer adoption and success
Excellent communication skills in English and French to engage confidently with a diverse range of stakeholders, from end users to C-levels. Strong written and presentation skills for executive-facing deliverables.
Curiosity, eagerness to learn, and adaptability with a flair for elegant solutions to first-of-a-kind problems. You bring structure to ambiguity, propose elegant solutions to first-of-a-kind problems, and can manage a portfolio of complex accounts while simultaneously contributing to team-wide infrastructure and process development.
High level of ownership and initiative with a \"doer attitude\". You thrive operating alongside demanding enterprise users in an emerging field, driving outcomes with minimal supervision while setting the standard for others
We're prioritizing building our team with an in-person culture at our offices in Paris, San Francisco, and New York because we value the magic that happens when talented people work closely together.
We have an office-first culture. Some of the best things about building at Dust are the energy, the fast decisions, and the unexpected conversations that unlock a hard problem, which happen because we are in the same room. Being together is not a formality, it is how we do our best work, and it is something we actively protect.
That said, we hire people with strong judgement and we extend that trust to how they manage their time. When working from home makes more sense for what you need to get done that day, we trust you to make that call.
The models are powerful enough. What's missing is the product layer where AI meets how companies actually work. That's what we're building: the infrastructure that lets any team turn scattered knowledge and tools into coordinated execution with agents they build, own, and run themselves.
We use Dust ourselves every day. We get to shape how humans and agents collaborate while solving our own problems with the product we ship. That loop is rare, and it's why we move fast.
If you're excited about defining a new category and want to join a determined team of optimists who focus on users, ship fast, and don't take themselves too seriously, we'd love to talk.
Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist.
Learn how we think and work.
Our product constitution, a story about our mission
Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024
LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024
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, 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
Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024
LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024
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, 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
Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024
LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024
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 Post-Sales Solutions Engineer at Dust, you will act as the technical partner for our existing customers, ensuring they maximize value from our AI operating system throughout their journey with us. Your primary focus will be driving long-term customer success through value realization, identifying expansion opportunities, and creating high-value, sticky use cases that make Dust indispensable to their operations. You will work closely with our Customer Success and Product & Engineering teams to deepen customer relationships and drive retention.
Develop and maintain deep expertise in Dust's product, platform capabilities, and prompt engineering best practices to serve as the internal expert for customer scenarios
Serve as a trusted technical advisor to our Enterprise customers, building deep relationships with both technical and business stakeholders over time
Lead advanced implementation projects, including high-value, high-impact use cases, technical integrations and custom workflows
Lead training & workshop sessions, effectively communicating Dust's value proposition to buyers and evaluators (e.g. security and compliance teams). You must possess strong technical acumen and high emotional intelligence (EQ) to adapt explanations and presentations to the audience, ensuring clarity and engagement.
Partner with Customer Success to drive high-value adoption, retention and expansion among your book of business
Champion customers' needs with Product & Engineering teams, translating usage patterns and feedback into product requirements and roadmap priorities
Be instrumental in building our global Solutions Engineering organization from the ground up as our first post-sales SE hires, with the opportunity to define processes, establish best practices, and lay the groundwork for future team expansion
4+ years in a combination of technical and customer-facing roles (e.g. software engineering, solutions architect, implementation engineer).
An action-oriented and organized self-starter mindset who isn’t afraid to get scrappy to solve customer issues.
A strong work ethic and commitment to excellence.
A deep interest in understanding customer needs and the desire to become an expert on Dust’s product.
Strong relationship-building skills with ability to establish yourself as a trusted technical advisor
Effective multitasking and prioritization skills under pressure and in ambiguous situations across a wide variety of tasks.
Demonstrated ability to work collaboratively with cross-functional teams to achieve shared goals.
A data-driven mindset that can interpret customer feedback and behavior.
A passion for technology, problem-solving, and a commitment to your customers’ success.
High technical aptitude, with an ability to work directly with engineers as well as business stakeholders. Experience with APIs, web development, and writing scripts to build internal tools is a plus. Familiarity with LLMs like GPT-4, Claude, Mistral or Gemini is highly desirable.
We're prioritizing building our team with an in-person culture at our offices in Paris, San Francisco, and New York because we value the magic that happens when talented people work closely together.
We have an office-first culture. Some of the best things about building at Dust are the energy, the fast decisions, and the unexpected conversations that unlock a hard problem, which happen because we are in the same room. Being together is not a formality, it is how we do our best work, and it is something we actively protect.
That said, we hire people with strong judgement and we extend that trust to how they manage their time. When working from home makes more sense for what you need to get done that day, we trust you to make that call.
The models are powerful enough. What's missing is the product layer where AI meets how companies actually work. That's what we're building: the infrastructure that lets any team turn scattered knowledge and tools into coordinated execution with agents they build, own, and run themselves.
We use Dust ourselves every day. We get to shape how humans and agents collaborate while solving our own problems with the product we ship. That loop is rare, and it's why we move fast.
If you're excited about defining a new category and want to join a determined team of optimists who focus on users, ship fast, and don't take themselves too seriously, we'd love to talk.
Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist.
Learn how we think and work.
Our product constitution, a story about our mission
Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024
LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024
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 driven and operationally sharp Field Marketing Manager to own Dust's sales-driven event strategy across the US market.
This is a high-impact, pipeline-focused role. You won't just be organizing events, you'll be directly accountable for generating qualified pipeline through executive dinners, curated sessions for business leaders, and strategic presence at key US tech and AI conferences.
You will be embedded within the Marketing team, working hand-in-hand with the US Sales team to ensure every event translates into real business outcomes: meetings booked, leads converted, deals opened.
Build and maintain the US field event calendar. Benchmark events constantly to ensure the best coverage and ROI, and conduct discovery calls to validate relevance before committing
Partner closely with the EMEA Field Marketing Manager on cross-territory events and initiatives. Share learnings, retros, and best practices across regions to sharpen the overall event strategy
Negotiate packages with event vendors and venues
Design and execute a pre/during/post-event playbook in close coordination with the Sales and SDR teams to maximize lead capture, follow-up quality and speed-to-pipeline
Own CRM hygiene: track leads, update HubSpot, and report on event performance
Coordinate with SDRs and AEs on account targeting before each event (guest list curation, outreach sequences, day-of briefings)
Own all event logistics end-to-end: retroplanning, venue sourcing, catering, speakers, materials, onsite coordination
Be present and hands-on at events — you're not just the organizer, you're a key part of the team on the floor
Travel to events across the US regularly (est. 1–2x/month)
Develop pre- and post-event content in coordination with the content team (emails, LinkedIn posts, event pages, one-pagers) tailored to target accounts and personas
Work with the broader Marketing team to adapt assets to US market tone and priorities
Report on event ROI: leads generated, pipeline created, conversion rates
Run structured retros after each event and implement learnings in the next cycle
Help the team sharpen the strategy every quarter
5-10 years of B2B marketing experience in a demand-gen or field marketing role, preferably in tech/SaaS
Proven track record of executing events that directly generate pipeline and revenue
Strong project management skills: you can run 5 events in parallel without dropping the ball
Sales-first mindset: you understand that events are a pipeline tool, not a PR exercise
Excellent interpersonal skills and low ego, you know how to work with a busy Sales team, get the information you need, and give them the support they need to close
Comfortable with HubSpot or equivalent CRM for lead tracking and campaign measurement
Thrives in fast-paced environments with a hands-on, roll-up-your-sleeves attitude
Based in San Francisco or New York, able to travel regularly across the US
Experience with account-based marketing strategies and coordinating with ABM programs
Track record of building field marketing programs from the ground up at scaling organizations
Experience in the AI/ML or enterprise software space
Experience using Dust (or similar AI productivity tools)
Experience supporting enterprise or mid-market sales teams through field marketing
Existing network in the US tech/AI ecosystem
Competitive compensation: $120,000–$160,000 base salary
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 San Francisco
Opportunity to travel to Paris multiple times a year
Regular team events and offsites
We can go higher for outstanding profiles.
We're prioritizing building our team with an in-person culture at our offices in Paris, San Francisco, and New York because we value the magic that happens when talented people work closely together.
We have an office-first culture. Some of the best things about building at Dust are the energy, the fast decisions, and the unexpected conversations that unlock a hard problem, which happen because we are in the same room. Being together is not a formality, it is how we do our best work, and it is something we actively protect.
That said, we hire people with strong judgement and we extend that trust to how they manage their time. When working from home makes more sense for what you need to get done that day, we trust you to make that call.
The models are powerful enough. What's missing is the product layer where AI meets how companies actually work. That's what we're building: the infrastructure that lets any team turn scattered knowledge and tools into coordinated execution with agents they build, own, and run themselves.
We use Dust ourselves every day. We get to shape how humans and agents collaborate while solving our own problems with the product we ship. That loop is rare, and it's why we move fast.
If you're excited about defining a new category and want to join a determined team of optimists who focus on users, ship fast, and don't take themselves too seriously, we'd love to talk.
Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist.
Learn how we think and work.
Our product constitution, a story about our mission
Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024
LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024
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 Engineering Lead at Dust, you will build and lead the function that connects our technical teams with customers, partners, and the broader go-to-market organization. You will shape how we support technical evaluations, customer implementations, and partner engagements, while remaining hands-on with our most complex opportunities. You will work closely with Sales, Customer Success, Product, Engineering, and Partnerships to build repeatable playbooks, develop the Solutions Engineering team, and show how Dust’s AI operating system can transform the way companies work.
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.
Lead the Solutions Engineering teams across three functions: pre-sales, post-sales, and partnerships.
Define the team structure, roles, career paths, operating standards, and success metrics for each function.
Recruit, hire, and onboard 4–6 Solutions Engineers across the three functions during your first year.
Build repeatable playbooks for technical discovery, pilots, onboarding, implementation, enablement, expansion, and partner co-selling.
Establish shared standards for technical capability, Dust platform expertise, demo craft, and customer communication.
Coach and develop the team through regular feedback, performance reviews, technical enablement, and leadership development.
Set and track performance metrics, including POC conversion, time to value, and partner-sourced pipeline.
Maintain deep expertise in Dust’s API, data connectors, agent orchestration, prompt engineering, and integration architecture.
Work directly with customer and partner engineering teams to validate integrations using APIs, Postman, and custom scripts.
Build reusable technical content, including reference architectures, security documentation, integration guides, and enablement materials.
Help customers and partners understand how Dust agents differ from deterministic workflow automation and copilot products.
Continue contributing to the most important and technically complex enterprise engagements.
Partner with Sales, Customer Success, Product, Engineering, and Partnerships to shape technical strategy.
Turn customer and partner feedback into clear product and roadmap input.
Coach the team to use Dust every day and model AI-native ways of working.
Help establish Dust’s technical positioning across enterprise security, integrations, agent architecture, and workflow automation.
You have at least three years of experience leading technical teams across pre-sales, post-sales, solutions consulting, technical services, or related functions.
You have experience managing or working across multiple Solutions Engineering functions, such as pre-sales, post-sales, implementation, or partnerships.
You combine strategic thinking with a hands-on, low-ego leadership style.
You have deep technical expertise across APIs, integrations, data connectors, and enterprise architecture.
You can write production code in Python, TypeScript, Bash, or a similar language, and have shipped real projects.
You understand enterprise integration patterns, security, and compliance requirements, including REST APIs, webhooks, OAuth, SSO, MCP, SOC 2, and GDPR.
You can explain the differences between agentic systems, workflow automation, and copilot products to technical and non-technical audiences.
You have built or led a Solutions Engineering organization through an early stage of growth.
You have experience hiring and developing Solutions Engineers across multiple regions or functions.
You have worked with AI, LLM, or agent platforms and understand concepts such as retrieval-augmented generation, prompt engineering, agent orchestration, and model evaluation.
You have used AI-assisted development tools such as Lovable, Cursor, or v0 to build demos, prototypes, or POC environments.
You have experience building technical partner programs, co-selling motions, or partner enablement.
You have influenced product strategy through structured customer and market feedback.
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, 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
Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024
LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024
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 Growth Engineer who writes code that moves revenue. You'll sit at the intersection of engineering and go-to-market, owning the technical systems that power how Dust acquires, activates, and converts users. Think: shipping directly on dust.tt, building our analytics and tracking infrastructure from the ground up, and creating high-leverage internal apps that make our GTM team wildly more effective.
You'll work alongside Growth Marketers and GTM Engineers, translating ambitious growth ideas into production systems, fast. And you'll do all of it supercharged by AI, using Dust and Claude Code every single day.
Website & Growth Funnel
Ship directly on dust.tt: landing pages, conversion flows, forms, and experiments, with the velocity of a founder, not the process of a platform team.
Implement and own end-to-end tracking across our growth funnel (ads attribution, UTM params, gclid, cookie/browser tracking, HubSpot integration).
Design and run rapid experiments (A/B tests, new pages, new CTAs) and double down on what the data says works.
Internal Apps & GTM Tooling
Build high-leverage internal applications for Sales, Growth, and Marketing: signal-based notification systems, control towers, quote-to-cash automation between HubSpot and Stripe, outbound tooling.
Create production-grade tools that our GTM team actually relies on daily, going far beyond prototypes, with real security, reliability, and autonomy.
Leverage Dust's own platform to build AI-powered agents and workflows that give our go-to-market team an unfair advantage.
Data & Analytics Infrastructure
Own our marketing and growth data stack: instrument events, build dashboards, and ensure data is clean, reliable, and actionable across PostHog, Snowflake, and Metabase.
Partner with Growth Marketers to define metrics, track performance, and generate insights that drive campaign and funnel decisions.
Build and maintain integrations across our GTM stack (CRM, CDP, ad platforms, enrichment tools).
Cross-Functional Collaboration
Serve as the technical backbone of the growth team: translate vague marketing requests into scoped technical specs and ship them autonomously.
Work closely with GTM Engineers on data architecture and with Growth Marketers on acquisition strategy.
Maintain a dotted line to Product Engineering to ensure code quality, security best practices, and architectural coherence.
Software engineer first. Strong engineering fundamentals, ideally full-stack (TypeScript/React + backend). You write clean, production-grade code.
AI-pilled. You're a power user of AI coding tools (Claude Code, Cursor, or equivalent). You don't just use AI, you build with it and think about how it changes what's possible. This is a hard requirement.
Growth mindset, literally. Genuine interest in growth, marketing funnels, and user acquisition. You care about conversion rates as much as code quality.
Hands-on with analytics and tracking. Experience with tools like PostHog, GA4, Segment, Mixpanel, or similar. You've instrumented events, debugged attribution, or built dashboards before.
Autonomous and fast. You thrive in ambiguous, fast-moving environments. You don't wait for a spec; you write the spec and ship the solution.
1-4 years of professional software engineering experience. Prior growth engineering, marketing technology, or internal tools experience is a plus.
Ideal, but not required:
Background in SEO infrastructure, programmatic content, or developer marketing
Familiarity with Stripe integrations, billing systems, or commerce flows
Prior work at a high-growth startup (especially AI-native or developer tools)
We're prioritizing building our team with an in-person culture at our offices in Paris, San Francisco, and New York because we value the magic that happens when talented people work closely together.
We have an office-first culture. Some of the best things about building at Dust are the energy, the fast decisions, and the unexpected conversations that unlock a hard problem, which happen because we are in the same room. Being together is not a formality, it is how we do our best work, and it is something we actively protect.
That said, we hire people with strong judgement and we extend that trust to how they manage their time. When working from home makes more sense for what you need to get done that day, we trust you to make that call.
The models are powerful enough. What's missing is the product layer where AI meets how companies actually work. That's what we're building: the infrastructure that lets any team turn scattered knowledge and tools into coordinated execution with agents they build, own, and run themselves.
We use Dust ourselves every day. We get to shape how humans and agents collaborate while solving our own problems with the product we ship. That loop is rare, and it's why we move fast.
If you're excited about defining a new category and want to join a determined team of optimists who focus on users, ship fast, and don't take themselves too seriously, we'd love to talk.
Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist.
Learn how we think and work.
Our product constitution, a story about our mission
Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024
LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024
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 hire is the first dedicated FP&A and Controlling resource at Dust. The mandate is to build the financial backbone the business needs to scale: from clean accounting oversight to forward-looking models, all supercharged by AI. This is not a role where you maintain someone else's work. You build it and reinvent it along the way..
The role sits across three pillars, each roughly equal in time and importance:
You are not the accountant booking the entries. But you own the quality of the numbers.
Drive the month-end close process: partner with our external accounting firms (France & US) to ensure the monthly close is clean, on time, and decision-grade, challenge entries, review accruals, ensure period accuracy
Own the accounting-to-reporting bridge: translate statutory P&L into the management reporting. Build and enforce the chart of accounts and analytical mapping to make reporting reliable and scalable
Flag risks proactively: revenue recognition edge cases, deferred revenue, capitalized development costs. You stand over the logic to make sure we translate the business into trustworthy accounting inputs and financial insights
You are among the first persons to build FP&A at Dust. That means architecture decisions matter as much as outputs.
Design and model the integrated financial model: P&L, cash flow, headcount planning, unit economics and metrics
Build the annual budget process and participate to the quarterly forecast cycle and business reviews
Support strategic analysis as needed: scenario modeling, unit economics, fundraising datarooms
It is a core part of the job. Dust transforms how work gets done and we are our first users. You will be expected to build, test, and deploy Finance agents on the Dust platform.
Identify repetitive Finance workflows and redesign them with AI: AP and AR automations, reconciliations, variance commentary, reporting drafts, data validation, … Uses cases are endless
Develop real convictions on what AI-augmented Finance looks like in practice
Act as a pilot user and internal advocate for Dust's product, generating feedback loops between Finance and Product
Experience and background:
5-7 years in Finance, with a clear arc from accounting-trained foundations toward FP&A and finance
Exposure to both close/controlling work and forward-looking planning - you have done both and value both
AI/SaaS company background is a plus - you understand ARR, churn, CAC, and why revenue recognition in software is not trivial
Experience in a scaling environment where processes did not exist yet and you had to build them
Technical skills:
Strong financial modeling: you build from scratch, not from templates
Data-literate: comfortable with SQL or willing to learn, experienced with Data & BI tools (Metabase, Snowflake, or equivalent)
Architecture-minded: When you build a model, a reporting structure, or a process, you ask \"will this still work at 3x the complexity?\" Data flows, model logic, and reporting hierarchies should feel like systems design decisions.
Mindset:
Automation-obsessed: your default reaction to a recurring task is \"how do I make this run itself\"
Builder mentality: energized by the blank page, not intimidated by it
Communication: you can explain a P&L variance to a non-Finance person and knows what they need to see versus what stays in the model
Business enabler: You see Finance as a function that makes the business move faster and smarter - not one that slows it down with process for process's sake. You earn trust with business leaders by being the person who shows up with options, while never losing sight of the controls and rigor that protect the company long-term
Intellectual curiosity about AI: you don't need to be a technologist or an engineer, but you need genuine interest
Build from scratch: the Finance function at Dust is being designed now. Your fingerprints will be on the architecture for years.
AI-first by default: you will use and shape the product you work for, every day.
Scale trajectory: Dust is growing fast. This role grows with it, both in scope and seniority.
We're prioritizing building our team with an in-person culture at our offices in Paris, San Francisco, and New York because we value the magic that happens when talented people work closely together.
We have an office-first culture. Some of the best things about building at Dust are the energy, the fast decisions, and the unexpected conversations that unlock a hard problem, which happen because we are in the same room. Being together is not a formality, it is how we do our best work, and it is something we actively protect.
That said, we hire people with strong judgement and we extend that trust to how they manage their time. When working from home makes more sense for what you need to get done that day, we trust you to make that call.
The models are powerful enough. What's missing is the product layer where AI meets how companies actually work. That's what we're building: the infrastructure that lets any team turn scattered knowledge and tools into coordinated execution with agents they build, own, and run themselves.
We use Dust ourselves every day. We get to shape how humans and agents collaborate while solving our own problems with the product we ship. That loop is rare, and it's why we move fast.
If you're excited about defining a new category and want to join a determined team of optimists who focus on users, ship fast, and don't take themselves too seriously, we'd love to talk.
Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist.
Learn how we think and work.
Our product constitution, a story about our mission
Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024
LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024
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 Customer Success team at Dust partners with our customers to transform how they work with AI. As a Senior CSM, you'll act as a trusted strategic advisor managing the complete customer journey from partnership kick-off through long-term adoption, value realization, and strategic account growth.
Joining Dust also means pioneering a new form of Customer Success. As a GenAI-native company, Dust aims to illustrate how GenAI can help redefine the experience customers can expect from software and how Customer Success teams can operate with AI at their core.
You'll contribute to shaping and scaling our CS practice in a fast-paced environment that encourages a doer attitude and strong ownership over outcomes.
Lead and optimize the full customer lifecycle for your portfolio of Key & Strategic accounts, driving sustained engagement and expansion across teams and departments. Help customers identify high-impact use cases and translate them into repeatable rollout plans aligned with business goals and product capabilities.
Drive organizational AI transformation as a change management partner, working cross-functionally with customer stakeholders, including executive level, to scale AI adoption company-wide. Partner with customers on evolving their AI governance and best practices as their usage matures. Position Dust as a trusted strategic partner, not just a software vendor.
Drive measurable value realization through Enterprise Business Reviews, capturing customer impact in terms of time saved, costs reduced, and operational improvements. Drive account retention and expansion by building trusted advisor relationships, identifying opportunities, and scaling Dust’s impact across customer organizations.
Orchestrate internal resources to deliver exceptional customer outcomes, partnering closely with AI Deployment Strategists during the deployment phase, Forward-Deployed Engineers for technical escalations and custom solutions, Product for feedback loops, and Sales for expansion and renewal opportunities. Act as the central point of coordination ensuring customers receive timely, cohesive support across all touchpoints.
Be the voice of customers at Dust, providing insights on customer experience, adoption blockers, and high-value use cases to shape product development in the rapidly evolving GenAI landscape. Maintain continuous feedback loops between customer usage patterns and product roadmap priorities.
Contribute to building the CS function: help design scalable playbooks, executive engagement programs, customer health frameworks, and team processes that raise the bar for the entire Customer Success organization.
Minimum 5 years in Customer Success roles, with a proven track record driving adoption, retention, and expansion for Key & Strategic customers, preferably in the SaaS industry.
Demonstrated ability to build and manage C-level relationships and navigate complex organizational structures. You've led Executive Business Reviews, shaped multi-stakeholder adoption strategies, and influenced senior decision-makers.
Proven impact driving, developing and deploying digital adoption and enablement strategies for complex technical products in rapidly evolving landscapes. Experience with AI-driven products or emerging technology categories is a strong plus.
Proven ability to drive organizational change management and transformation initiatives, guiding customers through long-cycle adoption journeys (6-9 months) that require sustained engagement, executive alignment, and cross-functional coordination.
Proven ability to develop deep product knowledge and effectively communicate technical concepts to drive customer adoption and success
Excellent communication skills in English and French to engage confidently with a diverse range of stakeholders, from end users to C-levels. Strong written and presentation skills for executive-facing deliverables.
Curiosity, eagerness to learn, and adaptability with a flair for elegant solutions to first-of-a-kind problems. You bring structure to ambiguity, propose elegant solutions to first-of-a-kind problems, and can manage a portfolio of complex accounts while simultaneously contributing to team-wide infrastructure and process development.
High level of ownership and initiative with a \"doer attitude\". You thrive operating alongside demanding enterprise users in an emerging field, driving outcomes with minimal supervision while setting the standard for others
We're prioritizing building our team with an in-person culture at our offices in Paris, San Francisco, and New York because we value the magic that happens when talented people work closely together.
We have an office-first culture. Some of the best things about building at Dust are the energy, the fast decisions, and the unexpected conversations that unlock a hard problem, which happen because we are in the same room. Being together is not a formality, it is how we do our best work, and it is something we actively protect.
That said, we hire people with strong judgement and we extend that trust to how they manage their time. When working from home makes more sense for what you need to get done that day, we trust you to make that call.
The models are powerful enough. What's missing is the product layer where AI meets how companies actually work. That's what we're building: the infrastructure that lets any team turn scattered knowledge and tools into coordinated execution with agents they build, own, and run themselves.
We use Dust ourselves every day. We get to shape how humans and agents collaborate while solving our own problems with the product we ship. That loop is rare, and it's why we move fast.
If you're excited about defining a new category and want to join a determined team of optimists who focus on users, ship fast, and don't take themselves too seriously, we'd love to talk.
Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist.
Learn how we think and work.
Our product constitution, a story about our mission
Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024
LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024
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 the Creative Director you will define how Dust shows up in the world, from our website and product launches to campaigns, events, video, and the visual systems that make our brand promise compelling and our product narrative credible. As an AI company, we expect our brand to be built the AI-native way: fast, systematic, and unmistakably ours.
Set the direction for Dust's visual identity: motion, illustration, typography, video style, and brand guidelines. Make it differentiating and memorable. Keep it enterprise-credible.
Lead creative direction across every major output: website, product launches, campaigns, events, GTM and sales assets, social. Flex between brand and product storytelling work. Own the visual language for launch moments and make IRL brand experiences feel like a high-integrity signal, not a booth.
Create the operating model for brand design at Dust: intake, prioritization, review, and standards. Build and manage the network of freelancers and agencies that lets a small team punch above its weight. Our ambition is to grow a small, world-class creative team around this role, working closely with our Paris-based product design team and contractor network.
Define and own a brand system that lets the team (and AI tools) produce high-quality, on-brand assets at speed — codifying our visual identity into documented guidelines, templates, and reusable components so lower-lift work (landing pages, social, blog and event graphics, slides) can be created consistently without a designer touching every execution.
First weeks: Immerse in the brand, the product, and the team. Audit current assets and identify the highest-leverage gaps. Start building a network of freelancers and agencies.
By month 3: Lead creative direction on the updated website — the most visible expression of Dust's value proposition as we grow.
By month 6: Refresh and build on brand guidelines — aligning video and motion style with core identity, covering illustration, iconography, and photographic direction.
You’re a visual storyteller. You've led brand or creative work where the narrative came first and the visual system was built to serve it.
You have exceptional taste and can defend your preferences, and you also know how to align your instincts to the direction of the brand and product.
You're hands-on. You make things. You can art-direct a video, push pixels on a landing page, and give a freelancer the right brief — all in the same week.
You're AI-fluent. You treat AI as a core part of the creative toolkit, not a threat to craft. You're already using AI intentionally in your own design and production workflow, and you're excited to build systems that let a small team punch far above its weight. (Bonus: experience building brand or design systems, template libraries, or prompt-driven workflows that let non-designers self-serve on-brand work.)
You've built or scaled a creative function. You've hired designers, set standards, and created the systems that let a small team punch above its weight.
You have a point of view on the market. You understand what resonates with AI-mature buyers and technical decision-makers, and you can make Dust feel culturally magnetic to them.
You can work across Paris and the US. Most of the company is still based in Paris, while the US team is growing across New York and San Francisco. You need to be proactive, clear in writing, and comfortable pushing work forward across time zones.
You've worked at or deeply admire companies with strong brand craft — Airbnb, Webflow, Intercom, Linear, Anthropic, or their equivalent. You know what great looks like and you've shipped it.
Experience building or refreshing a visual identity for a fast-growing technology company.
Experience working with founders on brand, narrative, launch moments, or executive presence.
A strong network of creative collaborators across motion, video, production, photography, illustration, web, and experiential work.
Experience designing interactive web experiences, motion systems, or product-led storytelling.
Messaging, content strategy, or campaign strategy depth. This is a bonus, not the core requirement.
A front-row seat at one of the most interesting companies in AI right now - early enough for real equity upside, late enough for proven PMF.
A small, candid, low-ego team that takes the work seriously without taking themselves too seriously.
In a beautiful SoHo office ( NYC) with a team that genuinely wants to be together.
Competitive salary and meaningful equity.
Health insurance for you and your dependents
New MacBook Pro or Linux machine, monitor, keyboard, etc.
The opportunity to travel to 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, 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
Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024
LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024
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 an EU Revenue Operations professional to help Dust reach $100M in ARR. You'll own GTM workflows end-to-end, act as a business partner who helps leaders make faster, sharper decisions, and own the sales reporting that gives every team and geo a trusted view of performance. 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 key GTM workflows end-to-end across Marketing, Sales, and CS, from lead routing and qualification through deal progression, hand-offs, renewals and expansion
Remove operational friction so reps spend their time selling, not fighting process
Instrument each workflow so it's measurable, repeatable, and scales, keeping data clean and trusted in HubSpot
Act as the operational partner to EU GTM leaders, translating their priorities into process, reporting, and action, and anticipating what they need before they ask
Deliver dashboards and reporting leadership can trust as a real-time source of truth
Define and track the KPIs, quotas, and performance metrics that drive the EU team
Use Dust itself to reinvent how revenue operations works, building agents that automate research, reporting, and GTM workflows (see dust.tt/home/solutions/sales)
Ship internal tools that compound the team's leverage over time
Act as a power user whose feedback directly shapes the product
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)
Solid data analysis skills (Excel/Sheets, SQL) and the judgment to turn data into recommendations others trust
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, 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
Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024
LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024
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, 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
Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024
LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024
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 coining the term AI Operator: someone who rethinks and rebuilds company processes around AI. Not \"how can AI help us do this faster?\" but \"if AI existed from day one, would we even do this the same way?\"
The AI Support Engineer applies this mindset to Support. You'll split your time between running support (handling complex issues when agents fall short) and building the AI systems that reduce that workload over time. Support at Dust is not a cost center, it's a product. Success is measured by eliminating categories of tickets, not just resolving them.
You will define, ship, and continuously iterate on the infrastructure that lets Dust deliver a world-class support experience at scale: AI agents, automation workflows, classification systems, knowledge systems, and tooling built on top of Dust itself. You will dogfood the product harder than almost anyone at the company.
We're hiring depending on your experience and technical depth. You'll be an experienced support engineer ready to build systems at scale, we want to hear from you.
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 development instincts: You've coached and grown engineers before, even informally. You know how to give feedback that sticks and create conditions where people do their best work.
Bidirectional communication: can translate technical concepts to non-technical audiences and speak technical language fluently with engineers.
Interest in or experience with a Build/Run split: Whether you've already operated this way or you're excited to learn this approach, you see support as more than ticket resolution.
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, 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
Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024
LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024
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 coining the term AI Operator: someone who rethinks and rebuilds company processes around AI. Not \"how can AI help us do this faster?\" but \"if AI existed from day one, would we even do this the same way?\"
The AI Support Engineer applies this mindset to Support. You'll split your time between running support (handling complex issues when agents fall short) and building the AI systems that reduce that workload over time. Support at Dust is not a cost center, it's a product. Success is measured by eliminating categories of tickets, not just resolving them.
You will define, ship, and continuously iterate on the infrastructure that lets Dust deliver a world-class support experience at scale: AI agents, automation workflows, classification systems, knowledge systems, and tooling built on top of Dust itself. You will dogfood the product harder than almost anyone at the company.
We're hiring depending on your experience and technical depth. You'll be an experienced support engineer ready to build systems at scale, we want to hear from you.
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 development instincts: You've coached and grown engineers before, even informally. You know how to give feedback that sticks and create conditions where people do their best work.
Bidirectional communication: can translate technical concepts to non-technical audiences and speak technical language fluently with engineers.
Interest in or experience with a Build/Run split: Whether you've already operated this way or you're excited to learn this approach, you see support as more than ticket resolution.
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, 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
Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024
LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024
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.
Work is being rewritten, and the people holding the pen are the ones who actually run it.
We call them AI operators: the employees inside companies who build, deploy, and run AI agents for their teams, without waiting for someone to hand them a tool. Dust is the platform they choose to rewire how their company works.
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, 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 AI Deployment Strategist, you'll drive transformational AI adoption for Dust Enterprise customers. You’ll serve as a trusted product expert from first touch through scale, leading onboarding, training, and strategic enablement programs that translate business challenges into high-impact use cases with measurable outcomes.
As an AI Deployment Strategist at Dust, you’ll help shape a new product category from the ground up in a fast-paced environment where ownership and impact define success.
Lead the Customer Deployment Journey (first 60–90 days) for our strategic customers
Partner with customers as a trusted advisor to define deployment goals aligned with business objectives
Design and deliver persona-specific enablement sessions, from first-time users to executive stakeholders
Identify and unlock high-impact use cases across customer organizations
Monitor adoption signals and proactively remove blockers to accelerate customer value realization
Drive Strategic Enablement Programs
Design scalable programs that connect customer goals with Dust’s product capabilities
Create high-quality educational content, including guides, playbooks, and learning materials that enable customer self-sufficiency
Build the foundation of Dust’s customer education platform from the ground up
Partner closely with Sales and Customer Success to refine deployment and handoff processes
Product & Organizational Impact
Act as the voice of the customer, sharing insights that inform product development in a rapidly evolving GenAI landscape
Help establish the foundations, best practices, and repeatable systems for Dust’s Paris deployment motion
Every candidate and employee's success is measured against the same 3 dimensions. Aptitude, Attitude and Agency.
Aptitude
You’ve led successful digital adoption, enablement, or education initiatives for Enterprise customers in fast-moving technology environments
You have experience managing large-scale product rollouts and change management efforts across organizations with 1,000+ employees
You can quickly absorb complex product and technical concepts, then translate them into clear, actionable guidance for both technical and non-technical stakeholders
You’re hands-on with AI products and workflows in a professional setting; AI fluency is embedded into how you operate and solve problems
You’re comfortable engaging with a broad range of stakeholders, including executives, end users, technical teams, and cross-functional customer partners
You create scalable customer leverage through documentation, enablement content, workshops, and repeatable systems that improve adoption over time
Attitude
You’re deeply curious and energized by emerging technology, especially AI and the evolving ways teams work
You thrive in ambiguity and approach first-of-a-kind problems with creativity, adaptability, and a bias toward elegant, practical solutions
You bring a calm, reassuring, and high-trust presence to customer interactions, especially in high-stakes or fast-changing environments
You care deeply about customer outcomes and naturally build strong relationships across teams and functions
You’re collaborative, low ego, and proactive about sharing feedback, surfacing risks early, and helping the broader team succeed
You’re excited by the idea of helping define what great AI adoption and enablement looks like in a category that is still being invented
Agency
You take ownership end-to-end and operate with a high level of initiative, even when priorities are shifting or requirements are unclear
You’ve gone beyond the scope of your role in previous positions by identifying gaps, improving processes, or building resources that didn’t previously exist
You can prioritize effectively across competing customer needs and operate with urgency without sacrificing quality
You’re comfortable navigating ambiguity, making decisions with incomplete information, and driving projects forward independently
You have a strong builder mindset; you create playbooks, frameworks, systems, and scalable approaches rather than solving the same problem repeatedly
You’ve demonstrated the ability to drive meaningful adoption, retention, expansion, or organizational change through your own initiative and execution
Prior experience in consulting, customer success, solutions engineering, enablement, or other customer-facing SaaS roles
Experience working with Enterprise customers in highly collaborative or transformational deployments
Familiarity with AI-native workflows, prompt engineering, or agent-based platforms
You should still consider applying even if you don’t meet every requirement above. We care deeply about curiosity, ownership, adaptability, and the desire to help our customers succeed.
Competitive compensation: up to 115,000 euros a year
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 to the EU multiple times a year
Regular team events and off-sites
We're prioritizing building our team with an in-person culture at our offices in Paris, San Francisco, and New York because we value the magic that happens when talented people work closely together.
We have an office-first culture. Some of the best things about building at Dust are the energy, the fast decisions, and the unexpected conversations that unlock a hard problem, which happen because we are in the same room. Being together is not a formality, it is how we do our best work, and it is something we actively protect.
That said, we hire people with strong judgement and we extend that trust to how they manage their time. When working from home makes more sense for what you need to get done that day, we trust you to make that call.
The models are powerful enough. What's missing is the product layer where AI meets how companies actually work. That's what we're building: the infrastructure that lets any team turn scattered knowledge and tools into coordinated execution with agents they build, own, and run themselves.
We use Dust ourselves every day. We get to shape how humans and agents collaborate while solving our own problems with the product we ship. That loop is rare, and it's why we move fast.
If you're excited about defining a new category and want to join a determined team of optimists who focus on users, ship fast, and don't take themselves too seriously, we'd love to talk.
Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist.
Learn how we think and work.
Our product constitution, a story about our mission
Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024
LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024
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, 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
Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024
LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024
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 a Growth Marketer to own pipeline generation across our target markets. This is a high-output, high-autonomy role: design and run multi-channel campaigns, build the assets yourself, run experiments every week, and make sure your work moves the number.
You won't be waiting on a creative team or briefing out to agencies. You'll think, build, and execute — fast. And you'll do it in a way that's on-brand, tightly connected to our ICP strategy, and built to compound over time.
Run 3–5+ demand gen experiments per week across LinkedIn, email, paid social, and beyond — with a structured approach to testing, reflection, and iteration
Own a pipeline number. Every campaign you run should be traceable to qualified opportunities for the sales team
Build and manage target account lists in close coordination with RevOps and Sales — map the right people, reach the right contacts, drive the right conversations
Design and execute full campaign sequences from strategy to copy to asset creation to reporting
Think in systems: every experiment you run should ladder up into a sustainable, repeatable demand gen engine — not a one-off push
Build assets yourself (landing pages, email sequences, ebooks, one-pagers, LinkedIn creatives) —using AI tools to move fast without sacrificing quality
Own CRM hygiene and campaign tracking in HubSpot — report on what's working, kill what isn't, double down on what is
Collaborate with RevOps to sharpen ICP targeting and ensure your campaigns reach the accounts that matter
Work closely with the Head of Marketing and the broader marketing team (content, field, PMM) to develop campaigns that elevate our brand and amplify our latest messaging
Collaborate with our other growth marketer on strategy and share learnings to build a high- performing growth function together
Move fast by building on what exists -- you know how to repurpose what’s already working to get high-quality work live quickly
Partner with the Sales and SDR teams regularly -- they are your internal customers
Experience in demand generation, growth marketing, or a closely related role at a B2B tech company — ideally one with a fast-moving, scrappy culture
Proven ability to own campaign execution end-to-end: strategy, copy, asset creation, targeting, reporting — without needing a support team around you
Strong analytical instincts — you can read your own numbers, draw conclusions quickly, and adjust course
Experience running ABM-style campaigns: ICP-led targeting, account mapping, personalized outreach sequences
Fluent across the core channels: LinkedIn, paid social, email, and paid search
An AI-native operator — you use AI tools daily to move faster, build better assets, and stay scrappy at scale
High cadence, high focus — you can run multiple experiments simultaneously without losing the thread on what each one is trying to prove
A systems thinker — you're not just running campaigns, you're building the infrastructure for long-term, compounding pipeline growth
Low ego and highly collaborative — you work well within a team, give and receive feedback clearly, and don't need to own the idea to execute it brilliantly
Brand taste — you can create assets that feel right for Dust: sharp, professional, and distinctly not enterprise-generic
You've worked in a B2B environment that's fast-paced and digitally native — think companies in the Notion / Figma / Slack mold, rather than traditional enterprise software
You have experience across more than one geographic market — you understand that running campaigns in the US and Europe requires different instincts, not just different copy
You've worked at an early-stage AI or developer tools company
You've used Dust (or a comparable AI productivity platform) as part of your daily workflow
You have experience building demand gen from scratch at a company in hypergrowth
You've worked directly alongside a RevOps or sales team in a pipeline-accountable marketing role
Competitive compensation: $180,000–$210,000 base salary
Significant equity package in a Sequoia-backed startup
Health insurance for you and your dependents
New MacBook Pro or Linux machine, monitor, keyboard, etc.
Opportunity to travel to Europe 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, 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
Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024
LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024
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 senior Brand and Content Strategist to define how our story comes to life and build the content engine behind it.
You will turn Dust’s product innovation, customer outcomes, company priorities, and the emerging AI Operator movement into stories and programs that earn attention, build the brand, and advance the business.
This is a strategy-led role with a strong editorial point of view and real ownership of execution. You will create flagship work yourself while building the systems and creative network that allow Dust’s storytelling to scale. You will start as a senior individual contributor, with the opportunity to build a team as the function grows.
It’s a rare opportunity to shape how a category-defining AI company shows up across the US and Europe while the market, and the conventions for communicating within it, are still being formed.
Own the content program across social, video, customer, community, and editorial channels, from strategic direction through execution
Decide which stories Dust should tell, who they are for, and where they should show up
Translate Dust’s company narrative and positioning into a distinctive content strategy for the US and Europe
Develop a content roadmap around company priorities, audience needs, market opportunities, and gaps across the funnel
Establish the voice, editorial standards, and creative principles that make Dust’s content recognizable and trusted
Turn product launches, customer outcomes, company milestones, and market shifts into stories that earn attention and deepen understanding
Make customer storytelling a flagship, multi-format program
Champion the AI Operators who are rewiring how work gets done inside their companies
Tell the story of how Dust runs on Dust and develop compelling programs with customers and ecosystem partners
Create a customer and partner co-marketing engine that builds credibility and deepens relationships
Enable voices across Dust, from engineering to go-to-market, to contribute authentic, public-facing stories
Develop the playbooks, briefs, workflows, and creative network needed to produce high-quality content consistently and at scale
Build content operations on Dust and set the standard for an AI-powered content function
Define success across awareness, audience growth, engagement, influence, and qualified demand
Establish the measurement systems needed to understand which stories, formats, and channels are working, and use those insights to continually refine the strategy
Partner with product marketing, growth, comms, community, and field marketing on launches and integrated programs
5–7+ years of content or brand strategy experience at a fast-growing B2B software company
A track record of building a brand people genuinely care about, with the mindset of a media company operating inside a marketing organization
A strong grasp of modern distribution, including social-first content, LinkedIn dynamics, video, community, and creator-style playbooks in an enterprise context
Exceptional storytelling skills across a wide range of formats and topics, with the ability to make complex technology clear, credible, and compelling
A strong connection between content and business results, using both qualitative and quantitative signals to decide what to create next
The ability to scale through others by building productive relationships with cross-functional teammates, customers, agencies, and freelancers, and creating systems that outlast any single piece of content
Deep fluency in and curiosity about AI. You’ll run your own function on Dust and speak the language of our buyers and users
Based in New York or San Francisco
To be explicit about the boundaries with adjacent functions, this role does not own:
Co-founder presence, executive thought leadership, PR, or communications. These are owned by our Comms & Ecosystem Lead, and you’ll collaborate closely on narrative alignment
Core product marketing or positioning
Growth experimentation or paid acquisition
We're prioritizing building our team with an in-person culture at our offices in Paris, San Francisco, and New York because we value the magic that happens when talented people work closely together.
We have an office-first culture. Some of the best things about building at Dust are the energy, the fast decisions, and the unexpected conversations that unlock a hard problem, which happen because we are in the same room. Being together is not a formality, it is how we do our best work, and it is something we actively protect.
That said, we hire people with strong judgement and we extend that trust to how they manage their time. When working from home makes more sense for what you need to get done that day, we trust you to make that call.
The models are powerful enough. What's missing is the product layer where AI meets how companies actually work. That's what we're building: the infrastructure that lets any team turn scattered knowledge and tools into coordinated execution with agents they build, own, and run themselves.
We use Dust ourselves every day. We get to shape how humans and agents collaborate while solving our own problems with the product we ship. That loop is rare, and it's why we move fast.
If you're excited about defining a new category and want to join a determined team of optimists who focus on users, ship fast, and don't take themselves too seriously, we'd love to talk.
Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist.
Learn how we think and work.
Our product constitution, a story about our mission
Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024
LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024