Revenue AI Operations
Quick Summary
put the product to work on real GTM challenges and push beyond today's standard use cases. Partner directly with Product and Engineering,
you scope, sequence, and ship cross-functional work without dropping details Bonus: B2B SaaS or AI/ML experience, familiarity with the modern GTM stack (Cla
With enterprise-grade governance, flexible model choice, and a collaborative interface for humans and agents to work together, Dust empowers AI Operators at the world’s fastest-moving companies to rewire how work gets done.
With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We don't get piloted and shelved. We land once, and spread. We're at an exciting stage of our journey, and growing fast.
We're serving great customers like Datadog, 1Password, Cursor, Clay, Vanta and Persona, and aim to x5 our growth by the end of 2026.
Dust is backed by Sequoia with a determined team of optimists (coming from Stripe, OpenAI, and Stanford) who like to focus on users, ship fast, and don't take themselves too seriously while doing so. The Generalist named us among the Future 50.
We're looking for a Revenue AI Operations builder to help Dust scale toward $100M in ARR. You'll work closely with Sales, CX, and Finance to keep our CRM and revenue processes running smoothly, improve performance visibility, and redesign how work gets done across the customer lifecycle. You'll also build scalable GTM enablement with Dust agents and skills, helping our fast-growing team ramp quickly and stay up to date. This is a high-scope, high-leverage role on a small team, and your work will directly shape how fast we grow.
Responsibilities
~1 min read- →
Our product constitution, a story about our mission
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Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
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Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
Support GTM teams day to day in resolving operational issues and requests.
Own daily HubSpot administration, including pipelines, properties, workflows, and automations, responding to incoming needs while proactively flagging improvements.
Keep CRM data clean and trusted through deduplication, territory management, and clear attribution logic.
Audit the current Sales funnel, review our KPIs, and implement the tracking and reporting needed to make performance visible.
Support the 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 CX processes such as onboarding and account management.
Partner with Finance on Deal Desk and Quote to Cash processes.
Build AI-powered GTM content with Dust agents and skills, creating and maintaining the assets our teams sell with, including sales playbooks, pitch and demo materials, battle cards, and customer stories. Draw on call recordings, product updates, and market signals to keep them relevant.
Design and run onboarding for new GTM hires as the team triples.
Train the team continuously on product, marketing, and process changes, using Dust to scale enablement.
Be one of Dust's most demanding internal users: put the product to work on real GTM challenges and push beyond today's standard use cases.
Partner directly with Product and Engineering, bringing them concrete feedback from building and using Dust at scale.
Turn what you learn internally into reusable examples that help customers see what's possible with Dust.
Requirements
~1 min readEvery candidate and employee's success is measured against the same 3 dimensions.
Location & Eligibility
About this job
- Pay per year
- €50,000–€80,000 a year
- Who can apply
- France
- Posted
- 123 days ago
Listing Details
- Posted
- July 13, 2026
- First seen
- July 13, 2026
- Last seen
- November 13, 2026
Posting Health
- Days active
- 122
- Repost count
- 0
- Trust Level
- 32%
- Scored at
- November 13, 2026
Signal breakdown
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