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Dust

Enterprise AI agent platform

Revenue AI Operations

Sales OperationsConfirmed live in the last 24 hours
Full-timeÎle-de-France, France€50k - €80k /yr

About the Job

Requirements

  • 1–2 years of experience in revenue or sales operations, consulting, venture capital, or a comparable analytical, high-ownership role.
  • Strong customer relationship management fluency, ideally with HubSpot, and familiarity with automation tools such as Zapier, Make, or n8n.
  • Ability to scope, sequence, and deliver cross-functional projects while maintaining attention to detail.
  • Ability to make sales leaders more effective and improve the ease of their work.
  • Ability to thrive in a fast-paced startup, remain calm amid ambiguity, and bring structure to work.
  • Ability to communicate clearly and keep cross-functional partners aligned.
  • Intellectual humility, with willingness to update views based on evidence.
  • Attention to craft and detail.

Responsibilities

  • Support go-to-market teams with day-to-day operational issues and requests.
  • Administer HubSpot daily, including pipelines, properties, workflows, and automations; respond to incoming needs and proactively identify improvements.
  • Maintain clean and trusted customer relationship management data through deduplication, territory management, and clear attribution logic.
  • Audit the current sales funnel, review key performance indicators, and implement tracking and reporting to make performance visible.
  • Support preparation of weekly, monthly, and quarterly pipeline, forecast, and performance reviews.
  • Lead process redesign projects across pre-sales, including lead attribution, new business, expansion and renewal sales cycles, and pilot tracking.
  • Improve customer experience processes such as onboarding and account management.
  • Partner with Finance on Deal Desk and Quote to Cash processes.
  • Build AI-powered go-to-market content with Dust agents and skills, creating and maintaining sales playbooks, pitch and demo materials, battle cards, and customer stories using call recordings, product updates, and market signals.
  • Design and run onboarding for new go-to-market hires as the team grows.
  • Train the team continuously on product, marketing, and process changes, using Dust to scale enablement.
  • Use Dust as an internal user to address real go-to-market challenges and explore use cases beyond current standard usage.
  • Partner with Product and Engineering and provide concrete feedback based on building and using Dust at scale.
  • Turn internal learnings into reusable examples that help customers understand what is possible with Dust.
  • Drive outcomes proactively, identify problems, and own them end-to-end through delivery of systems that prevent recurrence.
  • Make decisions autonomously, take initiative as a business partner, and build systems that reduce manual work.

Desired Qualifications

  • B2B SaaS or AI/ML experience.
  • Familiarity with the modern go-to-market stack, including Clay, Lemlist, or Common Room.
  • Familiarity with sales methodologies such as MEDDIC or BANT.

About the Company

Dust

Enterprise AI agent platform

Dust provides a horizontal, open-source platform for building, deploying, and managing custom AI agents that connect to a company’s data and tools. It acts like an AI operating system by integrating with data sources and apps like Slack, Notion, Google Drive, and GitHub, and supports multiple LLM providers with a no/low-code interface, building blocks, and a scripting language to parse outputs. It targets non-technical users to automate tasks and gain insights across departments, focusing on deployment and productization of AI rather than model development. It differentiates itself with model-agnostic compatibility, strong security (SOC 2 Type II, GDPR), and a horizontal B2B SaaS strategy aimed at broad enterprise adoption.

Company size
51-200
Company stage
Series B
Total funding
$62M
Headquarters
Paris, France
Founded
2023

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