Full-Time

Customer Success Manager

Dust

Dust

51-200 employees

Enterprise AI agent platform

No salary listed

Paris, France

In Person

In-person culture; offices in Paris and San Francisco.

Category
Customer Experience & Support (1)
Requirements
  • 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.
Responsibilities
  • 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.

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 A

Total Funding

$22M

Headquarters

Paris, France

Founded

2023

Simplify Jobs

Simplify's Take

What believers are saying

  • Anthropic partnership in Europe validates Dust and enables co-go-to-market opportunities.
  • Spendesk deployment consolidates 15+ fragmented AI implementations, addressing enterprise sprawl pain.
  • Gong Connection integration expands TAM into high-value sales operations use cases.

What critics are saying

  • EU AI Act Level 3 classification forces Triggers compliance overhaul, delaying enterprise sales.
  • OpenAI Operators replicates Dust's Triggers, causing customer churn to dominant LLM provider.
  • Microsoft Copilot Studio displaces Dust through deep Microsoft 365 ecosystem integration.

What makes Dust unique

  • Triggers feature enables autonomous agent scheduling without third-party workflow tools like Zapier.
  • Model-agnostic architecture supporting OpenAI, Anthropic, Google, Mistral prevents vendor lock-in.
  • 70% weekly active user ratio matches Slack engagement, indicating core workflow integration.

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Benefits

Health Insurance

Company Equity

Relocation Assistance

Company Social Events

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

2%

2 year growth

6%
Dust
Nov 10th, 2025
Introducing Triggers: Your agents, working while you sleep

Introducing triggers: Your agents, working while you sleep. What if your AI agents didn't wait to be asked? Today, Dust is introducing Triggers: turns Dust agents from on-demand agents into autonomous workers. Schedule agents to run automatically, trigger them from external events, and let them write back to your systems; no human initiation required. Triggers bring a crucial new piece to the control plane for autonomous work. What triggers do. Triggers complete the automation loop. Your agents are no longer waiting for you to remember to use them. You can now create intelligent, persistent, agentic workflows without third-party workflow tools like Zapier, n8n, or Make. Dust agents understand your full company context, make decisions, and act autonomously. Triggers give them the initiative to follow your instructions better. Triggers complete Dust's agent's Operating System. As Dust wrote in its Agent OS post, companies are moving from Phase 1 (reactive agents) to Phase 3 (autonomous agent networks). Triggers allow your agents to work while you sleep, coordinate with each other, and close the full automation loop: event happens or agent is scheduled | agent processes with context | agent writes back results. Autonomy you can trust and deploy. Trust comes from visibility and observability. Every trigger logs what ran, when, and why. Every agent action shows its reasoning. You can audit, correct, and improve every agentic workflow you build in Dust. How teams use triggers. Sales teams connect their call transcript tool to walk out of their sales meetings with a customized follow-up email leveraging what was discussed, and CRM updates ready for posting. Engineering teams trigger code review agents when PRs are opened, routing complex changes to senior engineers and auto-approving simple fixes. Operations teams run weekly metric summaries that pull data from five systems, generate insights, and update Notion dashboards; all autonomously. Support teams trigger triage agents when tickets arrive, drafting responses to common questions and escalating complex cases, thereby cutting first-response time from hours to minutes. Built for scale, secure by default. * Schedule agents using natural language. No cron syntax required * Trigger from webhooks (GitHub, Jira, and available webhooks) * Write back to any system using MCP integrations * Full audit logs for every triggered run * Works with your existing agents. No rebuild required How to get started. * Open any agent in your Agent Builder * Add a Trigger action (Schedule or Webhook) * Describe when it should run - that's it Your agent will automatically determine when to trigger based on your description and start running autonomously. Not using Dust yet? Get a demo to see how triggers can transform manual processes into autonomous operations. Read the full documentation here to learn about webhook filtering, custom triggers, write-back patterns, and advanced workflows.

Dataconomy
Jul 4th, 2025
Anthropic is reportedly partnering with Dust in Europe

Anthropic is reportedly partnering with Dust in Europe.

Tech.eu
Apr 24th, 2025
Spendesk Partners With Dust To Roll Out Custom Ai Agents

French fintech Spendesk, a platform for spend management and procurement, has partnered with AI infrastructure startup Dust to roll out tailored, secure AI assistants across its organisation. The initiative aims to unify internal AI usage, enhance productivity, and maintain strong compliance with European and UK data regulations.Enterprises are increasingly turning to automation tools to remain competitive. Dust specialises in enterprise-ready AI agents built on top of secure integrations with workplace tools such as Slack, Notion, and Intercom.Spendesk, which counts SoundCloud, Gousto, and SumUp among its customers, had already embraced AI in various internal functions, from sales and customer support to accounting automation. But when it sought to scale AI usage across departments, it found itself grappling with fragmented adoption. Different teams were experimenting with disconnected tools, leading to data security concerns and inconsistent usage patterns.“It’s impossible to use Spendesk without interacting with AI. We’ve implemented no fewer than 15 AI-powered features since 2017, predicting and pre-filling more than 2 million accounting fields each month,” said Rodolphe Ardant, Founder of Spendesk.“As UK businesses continue to navigate an evolving regulatory and economic landscape, secure AI adoption has never been more crucial

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Mar 27th, 2025
Dust Product Update 12

Dust has introduced a new Gong Connection, keyword search in the agent builder, smarter label filtering, and better markdown support to make your agents more powerful and easier to work with.

StartUp Online
Aug 16th, 2024
Mutatjuk Az Openai Alumni Európai Projektjeit, Amikre Érdemes Figyelni

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