Full-Time

People Lead

Posted on 12/12/2025

Dust

Dust

51-200 employees

Enterprise AI agent platform

Compensation Overview

€70k - €100k/yr

+ Relocation Stipend + Equity Package

San Francisco, CA, USA + 1 more

More locations: Paris, France

In Person

Category
Operations & Logistics (1)
Requirements
  • Strong POV on modern People function and how AI is transforming it
  • You follow inspiring companies and leaders in People (and can name your top 3)
  • You're excited to reinvent People Ops with AI, not replicate what's been done before
  • You're vocal about your work—you write, speak, or create content about People topics
  • You see People as a product and apply product thinking to everything you build
  • 7+ years building people systems at fast-growing startups (Series A-C)
  • You've designed core people processes from scratch (onboarding, performance, comp, culture programs)
  • You balance strategic thinking with hands-on execution
  • You thrive in ambiguity and can operate with limited resources
  • Experience partnering with and challenging founders
  • You're comfortable influencing at the leadership level without formal authority
  • You can spar constructively—push back when needed without being defensive
  • You translate business strategy into people systems and vice versa
  • AI-native mindset and modern tools
  • You actively use AI in your day-to-day work and can articulate how it's transforming People Ops
  • You're excited to use Dust daily and evangelize how it can reinvent your function
  • You experiment with new tools and approaches proactively
  • Highly analytical and data-driven
  • You define what people metrics matter and why, and have tracked them in past roles
  • You tie people data to business outcomes
  • You're proficient with HRIS systems and analytics tools
  • Experience with distributed teams across France and the US
  • You understand both French and US employment contexts, working styles, and cultural norms
  • You've built people systems that scale across geographies
  • You're comfortable with async work and timezone coordination
Responsibilities
  • Shaping and scaling Dust's culture: Define what our Operating Principles mean in practice as we grow and become more distributed (Paris + US)
  • Build systems that preserve what makes Dust special while evolving what needs to change
  • Partner with founders on people strategy—we need someone who will spar, not just execute
  • Be a vocal champion internally and externally for how we're reinventing work with AI
  • Evangelizing Dust and AI-driven People Ops: Be public about how we're reimagining People function with AI (write, speak, create content)
  • Use Dust daily to transform your own work and champion it across the company
  • Build Dust's reputation as a leader in modern people practices
  • Bring a strong POV on what great looks like and push the team to think differently
  • Building people infrastructure and systems: Set up and optimize our HRIS, people tech stack, and data infrastructure
  • Design performance management, leveling, compensation, and rewards frameworks that are objective, scalable, and modern
  • Build onboarding, employee experience, and engagement programs
  • Integrate AI thoughtfully into every process and system you design—resist over-engineering
  • Driving people data and insights: Define and track metrics that matter (eNPS, engagement, retention, performance trends)
  • Surface insights that help leadership make better decisions about people and culture
  • Tie people outcomes to business goals and use data to iterate continuously
  • Ensuring operational excellence: Streamline contracts, payroll, compliance, and administrative processes
  • Stay ahead of French and US labor law requirements
  • Leverage AI and modern tools to work efficiently and scale operations without adding headcount
Desired Qualifications
  • Deep expertise in compensation and performance frameworks
  • Experience with compliance, contracts, and payroll administration
  • SaaS, B2B, or AI/ML industry experience
  • French language skills

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

Dust
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

Automatizált precíziós alkatrészeket gyártó startupot, az AI-megoldások biztonságos használatát és AI-asszisztenseket bevezető céget, sőt, még egy főzni tudó robotot is megalkottak az egykori OpenAI-alkalmazottak.Amint arra Kerek István AI üzletfejlesztési szakértő és a ChatGPT magyarul Facebook-csoport alapítója korábban rámutatott: az OpenAI hatalmas előrelépést jelentett a mesterséges intelligencia történetében azzal, hogy 2022-ben a ChatGPT 3.5-ös szériájával elérhetővé tette az AI-t a széles tömegek számára is, és radikálisan lecsökkentette a technológia használatához szükséges belépési szintet.Az, hogy mekkora lehetőség van a mesterséges intelligenciába, és azon belül is most már a generatív AI-ba, a befektetői oldal is visszaigazolja:a Dealroom adatai szerint 2022-23 között a generatív mesterséges intelligenciába való befektetési összeg globálisan megsokszorozódott a korábbi évekhez képest, és elérte a 25 milliárd dollárt.Maga az OpenAI mint a ChatGPT megalkotója és a generatív AI egyik zászlóshajója a 2015-ös alapítása óta már 69 befektetőt győzött meg arról, hogy érdemes beléjük tőkét invesztálni, köztük a Microsoftot, ami elképesztő méretű, 10 milliárd dolláros befektetéssel szállt be a cégbe. Mindeközben a globális vállalat most már közel háromezer főt foglalkoztat,cégértékelése pedig elérte a 90 milliárd dollárt is. Az AI-vonat pedig nem áll meg: az OpenAI legújabb, GPT-4o modelljének mobilapplikációja idén júliusban rekord hónapot hozott: a nettó bevétel 28 millió dollár volt.Ilyen eredmények után érdemes figyelemmel kísérni az OpenAI alumni tevékenységét: a Sifted szedte össze azokat az egykori OpenAI alkalmazottakat, akik Európában kezdtek bele új projektbe, miután eltávoztak az amerikai vállalattól. (Azokkal nem foglalkoztak, akik gyakornokként vagy szabadúszóként jelentek meg az OpenAI-ban.)Jonas Schneider projektje, a DaedalusA németországi Karlsruhei Technológiai Intézetben informatikus végzettséget szerző Jonas Schneider az OpenAI egyik első mérnöke volt. 2016 áprilisától 2019 augusztusáig társalapítója és vezetője volt a vállalat robotikai csapatának, amely a gépi tanulás és a mesterséges intelligencia kutatását fejlesztette úgy, hogy a gépek interakcióba tudjanak lépni a fizikai világgal. Ennek eredményeképp alkottak meg egy robotkezet, ami képes volt a Rubik-kocka kirakására, és más tárgyakkal is fizikai interakcióba tudott lépni.Jonas Schneider a kép jobb oldalán, fehér pulcsiban új projektje, a Daedalust munkatársai körében

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