D

Dust

Enterprise AI agent platform

Founding Customer Success Manager

Full-TimeUpdated on 10/20/2026
£100k - £155k/yr
Senior, Expert
London, UK
HybridOffice-first culture; working from home is allowed when it better suits the day's work.
Customer Experience & SupportCustomer Success

About the job

Requirements
  • You have 8+ years of experience in Customer Success, account management, consulting, solutions, or a related customer-facing role, with a strong track record of owning and growing strategic enterprise accounts.
  • You have worked with complex organizations where adoption requires sustained executive alignment, cross-functional coordination, and thoughtful change management over multiple quarters.
  • You have successfully managed senior customer relationships, including the ability to influence C-level and VP-level stakeholders and communicate credibly with business and technical audiences.
  • You have a track record of driving measurable customer outcomes, renewals, and expansion, and can move between strategic conversations and the operational details needed to make progress.
  • You have built or improved Customer Success processes, playbooks, or operating models, and can create structure where little exists and turn individual success into a repeatable motion.
  • You understand how technically sophisticated products are adopted inside large organizations.
  • You are fluent in AI concepts and can engage confidently with technical teams and build practical AI fluency with customers.
  • You communicate clearly and convincingly in English, in writing and in executive settings.
  • You can make sound decisions under ambiguity, follow through on commitments, and take responsibility for outcomes.
  • You are comfortable being both strategic and hands-on, leading executive business reviews, improving onboarding processes, and writing playbooks.
  • You can work collaboratively, share context, and communicate directly.
Responsibilities
  • Own a portfolio of strategic enterprise customers, building durable relationships across executive, business, technical, and operational stakeholders.
  • Establish trusted-advisor relationships with C-level and VP-level leaders, helping them define their AI strategy and turn that strategy into meaningful business outcomes.
  • Lead complex customer journeys from kickoff through adoption, renewal, and expansion; coordinate the right people at the right time and prevent progress from stalling between teams.
  • Drive measurable value realization by helping customers identify, quantify, and communicate outcomes such as time saved, costs reduced, faster execution, and improved decision-making.
  • Lead executive business reviews and other strategic customer conversations, connecting product usage to business impact and creating a clear path to the next stage of adoption.
  • Support customers through enterprise-wide change management, including rollout planning, governance, internal enablement, use-case discovery, and the transition from individual experimentation to organization-wide adoption.
  • Identify and develop expansion opportunities across teams, functions, and geographies, partnering closely with Sales to turn adoption and customer outcomes into sustainable account growth.
  • Orchestrate internal resources across Customer Success, AI Deployment Strategy, Forward-Deployed Engineering, Product, and Sales to deliver a cohesive customer experience.
  • Build the foundations of Dust's Customer Success motion from the London HQ, including account planning, executive engagement, adoption frameworks, value reviews, customer education, and feedback loops.
  • Represent the voice of customers inside Dust by turning customer needs, use cases, and patterns into product feedback, strategic insight, and better ways of working.
  • Share what works with the broader Customer Success team, raise the bar for strategic account management, and help shape how a GenAI-native Customer Success organization operates.
Desired Qualifications
  • Experience with AI, developer tools, data platforms, enterprise software, or another emerging technology category is highly valuable.
  • French is helpful because the role works closely with Paris-based teams, but it is not essential.

About the company

D

Dust

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Website

Dust provides a horizontal, open-source platform to design, deploy, and manage custom AI agents that connect to a company's internal data and tools. It works by acting as an operating-system for AI: connects LLMs from OpenAI, Anthropic, Google, and Mistral to company data and tools (Slack, Notion, Google Drive, GitHub) through a no/low-code GUI, prompt-chain builder, building blocks, and a scripting language. The platform targets non-technical users to automate workflows across departments, enabling tasks, insights, and better decision-making, while emphasizing security with SOC 2 Type II and GDPR and maintaining model-agnosticity. Dust aims to be an enterprise AI operating system that broadens AI adoption within organizations, offering a B2B SaaS product with a horizontal strategy and a Series A from Sequoia.

Company Size

51-200

Company Stage

Series B

Total Funding

$62M

Headquarters

Paris, France

Founded

2023

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Simplify's Take

What believers are saying

  • Dust closed a $40 million Series B on May 18, 2026, led by Sequoia and Abstract.
  • Contentsquare, ZoomInfo, Modjo, Snowflake, and Datadog integrations expanded Dust's production footprint through September 2026.
  • Dust claims 3,000 organizations, 300,000 agents, and zero 2025 churn, signaling strong retention.

What critics are saying

  • Microsoft, Google, and Snowflake ship native agent layers, squeezing Dust into a feature by 2027.
  • Enterprise buyers will demand rollback, audit, and identity controls; one bad write can kill deployments.
  • Any governance breach or data leak destroys Dust's trust pitch and blocks regulated customer expansion.

What makes Dust unique

  • Dust pairs shared agent workspaces with governance, not single-user copilots, since May 18, 2026.
  • Its model-agnostic MCP platform connects 100-plus tools, plus Dust Docs launched remote MCP in 2026.
  • Founders Gabriel Hubert and Stanislas Polu previously built TOTEMS, sold to Stripe in 2014.

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Benefits

  • Health Insurance
  • Company Equity
  • Relocation Assistance
  • Company Social Events

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

3%
StartupHub AI
Sep 8th, 2026
Snowflake Ventures enterprise AI funds trust layer.

Snowflake Ventures enterprise AI funds trust layer. Snowflake Ventures says enterprise AI scale fails on infrastructure, not models, and points to Dust and Gray Swan as its trust layer bets. StartupHub.ai Staff Snowflake frames Snowflake Ventures enterprise AI as a bet on the layer between models and apps, where pilots either become products or stall. Head of Snowflake Ventures Harsha Kapre named Dust and Gray Swan on Sep 8 as examples of that layer in production. How governance failures turn into security failures. Kapre argues most agent programs do not fail on model quality but on missing identity-aware access, policy guardrails and a single source of truth. Without that foundation even capable models cannot safely act across business workflows, so governance gaps become security gaps. Think of it like giving interns master keys to file paperwork, fast work but no audit trail until something leaks. Partner Paid placement Dust targets the workflow side, giving teams shared knowledge, search and Model Context Protocol connectors to run cross-functional agents on any model. Gray Swan targets the runtime side, scanning for vulnerabilities and enforcing protections before agents touch production data. Together they map to the three capabilities Snowflake calls foundational: model choice, governance at scale, and human-agent collaboration. Why production trust is still unfinished. Snowflake already pushed this thesis days earlier with CoCo, its coding agent that keeps data inside the perimeter, so Dust and Gray Swan extend the same inside-the-governance-boundary pitch. The overlap matters because Dust is integrating with Cortex Agents to ground agents in Snowflake data, which tightens Snowflake as the source of truth but also concentrates lock-in risk if governance lives there. Gray Swan fills a hole Snowflake cannot credibly fill alone, runtime defense for nondeterministic agents that traditional data controls were never built to watch. Databricks has made parallel governance bets, so Snowflake is signaling it will buy distribution for this layer rather than concede it. Neither announcement discloses investment size, terms or product milestones, so there is no way to judge traction beyond described GTM and ops usage at startups and enterprises. Procurement will now ask how agents inherit identity, log actions and revert bad writes, not which model they use. Until vendors publish third-party tests for those controls and clear rollback paths, the agentic enterprise stays a governed pilot for most shops. Snowflake is betting outsiders solve its hardest trust problem faster than it can ship natively. (C) 2026 StartupHub.ai. All rights reserved. You may not republish this article in full without a license. Search engines and AI research tools may crawl and summarize for reference. Bulk reproduction or model training requires a license. See our terms. Discussion. Join the conversation below StartupHub.ai Staff Editorial team The staff writers of StartupHub.ai, ranging from investment analysts to avid AI tool users, early adopters and critical enthusiasts. Backgrounds span engineering, business and the arts. We hold every piece to rigorous standards of research and review.

Noah Business Intelligence
Jul 18th, 2026
Dust raises $40M Series B to build collaborative AI agents that work across teams

Dust, an enterprise AI platform, has raised $40m in a Series B round led by Abstract and Sequoia, with backing from Snowflake and Datadog. Chief executive Gabriel Hubert says the company is moving beyond individual AI tools towards shared agents integrated into company workflows. These "digital teammates" can be assigned tasks, linked into chains, and pass work between stages. Hubert argues this approach institutionalises operational knowledge rather than just improving individual productivity. The model addresses growing governance concerns. Data from Smarsh shows 55% of large EU enterprises use AI, yet only a quarter believe their governance frameworks are fully prepared. Dust ties agents to controlled workspaces where administrators manage data access and permissions. Hubert expects that by 2027, companies will focus less on whether to use agents and more on managing and governing them effectively.

Contentsquare
Jun 24th, 2026
Contentsquare partners with Dust to power AI agents with customer experience & digital performance data.

Contentsquare partners with Dust to power AI agents with customer experience & digital performance data. CSQ Platform Paris - June 24, 2026 - Contentsquare, a global leader in customer experience intelligence, today announced a new integration with Dust, the leading enterprise platform for building and deploying secure AI agents. The integration gives teams direct access to Contentsquare's customer experience intelligence within Dust. Instead of switching between dashboards, building reports, and interpreting analytics, users can ask questions in natural language and get immediate answers grounded in real customer behavior. Bringing customer Intelligence Into everyday workflows. Understanding customer behavior often requires navigating multiple tools, pulling data, and translating findings into actions. Valuable insights exist, but accessing them can be slow and highly dependent on specialist teams. The Contentsquare MCP connector for Dust removes that friction. Teams can query live behavioral data directly from Dust AI agents, turning customer experience insights into something that's available wherever work happens. Whether investigating a drop in conversion, identifying friction in a checkout flow, or understanding the impact of a recent release, teams can get answers in minutes - along with the context needed to take action. By combining Contentsquare's behavioral data with Dust's agent platform, organizations can automate analysis, generate structured briefs, trigger workflows, and surface customer insights directly in the tools teams already use. From behavioral data to automated decision support. The Contentsquare MCP connector equips Dust agents with real-time access to critical behavioral datasets, enabling several cross-functional use cases: * Funnel & journey analysis briefs: Agents automatically extract step completion times, drop off rates and end to end funnel conversion rates to help you see where you're losing visitors so you can prioritise fixes. * Quantified revenue impact: Dust leverages Contentsquare's Impact Analysis to rank friction points and errors by their exact financial downside, allowing teams to ruthlessly prioritize sprint cycles. * Automated behavioral digests: Teams can set up autonomous, scheduled workflows inside Dust to deliver weekly or daily plain-English performance summaries to stakeholders via email - completely touch-free. * Error spike triage & routing: The connector accesses real-time JavaScript and API error rates and session impact metrics. When anomalies occur, Dust agents can generate immediate technical briefs or route triage notes directly into connected engineering ecosystems like Slack or Jira. * Multi-source business reasoning: Fuse experience data with complementary data sources so Dust can provide a unified view of business insights across the entire tech stack. Turn customer experience data into instant AI-powered insights. Connect Contentsquare with Dust to help your teams query real customer behavior, automate analysis, and act faster, without jumping between dashboards. Availability. The Contentsquare MCP connector for Dust is available starting today for joint customers. To learn more about setting up the integration or to read the Use Case Playbook, visit contentsquare.com or dust.tt. Gabrielle Moreau Global Communications and Public Affairs Manager at Contentsquare Gabrielle Moreau is Contentsquare's Global Communications and Public Affairs Manager. She leads media relations, executive communications, and partner PR across EMEA and the US, and oversees the company's public affairs strategy from Paris, France. Prior to Contentsquare, she held corporate communications roles at Bouygues and BNP Paribas. * Press & Media Contentsquare Brings CX Intelligence Into Claude to Improve Experiences and Drive Growth Contentsquare, a global leader in customer experience intelligence, today announced it is among the first experience analytics solutions to be listed in Anthropic's Claude Connectors Directory. * Press & Media - 4 min read Contentsquare acquires Hotjar to help all businesses build better digital experiences The two leaders join forces to serve the global market end-to-end - from entrepreneurs & SMBs/growth companies to Enterprises Wednesday, September 1, 2021 - Contentsquare, the global leader in digital experience analytics, today announces it is joini...

Axios
May 18th, 2026
Dust raises $40M Series B led by Abstract and Sequoia for AI agent platform

Dust, a human-agent collaboration platform, raised a $40M Series B led by Abstract and Sequoia. CEO Gabriel Hubert announced the round exclusively via Axios.

Tech.eu
May 18th, 2026
Dust raises $40M Series B to build the "multiplayer" operating system for enterprise AI.

Dust raises $40M Series B to build the "multiplayer" operating system for enterprise AI. Used by more than 3,000 organisations, Dust claims over 300,000 AI agents have already been deployed across its platform with 70 per cent weekly active usage and zero churn in 2025. Agentic AI company Dust today announced a $40 million Series B led by Abstract and Sequoia, with participation from Snowflake and Datadog. With this round, Dust has raised over $60 million in total funding. Most companies have adopted AI, but they haven't become meaningfully more intelligent as organisations. One person prompts an assistant, gets an answer, and the context disappears into a private chat window. The result is real productivity at the individual level, with very little compounding across teams. Dust is on a mission to transform how work gets done. It is the Operating System for AI Agents. It enables businesses to deploy, orchestrate, and govern fleets of specialised AI agents that work alongside the team, safely connecting the company's knowledge and tools. "This is a century-defining transformation, and we're only in year three," said Gabriel Hubert, Co-Founder and CEO of Dust. "What will transform the way we work isn't the next best model or assistant. It's going to be a completely new type of system that gives humans and agents shared, governed access to the same information and capabilities so that they become true collaborators, working with the same context, notifications, artifacts, and goals to compound organisational impact. This is what we call multiplayer AI, and this is what we're building at Dust." Dust is the multiplayer AI system for human-agent collaboration. It's a platform where business teams build, deploy, and manage AI agents that work together across an organisation, connected to company knowledge, integrated with the tools teams already use, and governed with enterprise-grade controls. The product is built around a shared collaboration surface where teams and agents work in the same workspace with shared projects, context, conversations, to-dos, notifications, and a cloud-based compute environment for processing files and generating documents. An intelligence layer connects more than 100 data sources and integrates with tools teams already rely on, enabling agents to work with company context and take action. Built-in memory and reinforcement loops help teams achieve more impact with AI over time by understanding their preferences and proactively recommending agent improvements. Enterprise governance provides granular permissions, cost and usage monitoring, a full audit trail, and agent analytics. Dust is SOC 2 Type II certified, GDPR compliant with EU and US data residency, and does not train models on customer data, as contractually guaranteed by major providers. Dust is used by more than 3,000 organisations, many of them household names. Over 300,000 agents have been deployed across the platform, with 70 per cent weekly active usage across customers and zero churn in 2025. The company was founded by Gabriel Hubert and Stanislas Polu, who have been building together since meeting at Stanford in 2007. They previously co-founded TOTEMS, a data analytics company acquired by Stripe in 2014, and spent five years at Stripe scaling products and teams. Polu later joined OpenAI as a research engineer on Greg Brockman's team, co-authoring papers on AI reasoning with Ilya Sutskever. Hubert became Chief Product Officer at Alan. In September 2022, Polu left OpenAI with a conviction that became Dust's founding thesis: the models were already powerful enough to be economically transformative, but were under-deployed because the product layer was missing. "We're in the early innings of a massive shift in how organisations use AI," said Konstantine Buhler, Partner at Sequoia. "Most enterprise AI today is single-player: one person, one prompt, no compounding. Dust is building the multiplayer system, where agents and humans share context and work together across the entire company. Zero churn and 70 per cent weekly active usage tell you this isn't experimental anymore. This is how enterprises will actually operate." "Most AI platforms are stuck in single-player mode: one person, one chatbot, one task," said Ramtin Naimi, General Partner at Abstract. "Dust is multiplayer. AI Operators inside companies like Datadog and 1Password don't just use Dust; they build agents that collaborate across teams, learn from every interaction, and rewire how the entire company works. That's a new operating model and category. That's why we participated in this round." Dust plans to use this round to push three frontiers at once: agents that learn and improve automatically as they're used, collaboration primitives that make humans and agents equal co-contributors with bidirectional access to shared projects, tools, and context, and infrastructure that makes governance and orchestration predictable at enterprise scale. Lead image: Dust founders Stanislas Polu and Gabriel Hubert. Follow the developments in the technology world. What would you like us to deliver to you?