---
title: 'Growth Engineer, Recruiting & People at Genesis'
canonical: 'https://feeny.ai/job/growth-engineer-recruiting-people-genesis-paris-k75stskhkqqm'
type: 'job'
last_seen: '2026-11-05'
---

# Growth Engineer, Recruiting & People at Genesis

- **Company:** Genesis
- **Location:** Paris, France
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-11-02
- **Last confirmed live:** 2026-11-05
- **Apply:** https://jobs.ashbyhq.com/genesis/28d3e46c-69f0-4aa6-8113-9117407e964e

## Job description

## About the role

Genesis brings together AI research, simulation, and robotics to build general-purpose robots that can work in the real world. Our mission is to unlock unlimited physical labor. Our ability to grow depends on how well we find exceptional people, hire them, and help them become effective. There are engineering problems throughout that journey: fragmented data, repetitive workflows, disconnected tools, and processes that become slower as the company gets bigger. You’ll build the software and automations that solve those problems. Your users will be recruiters, hiring managers, the People team, and employees. You’ll work directly with them, identify the highest-impact opportunities, ship useful tools, and measure what changes. Your work should help us reach stronger candidates, move faster, and give people more time for the decisions and conversations that need them.

## What you’ll own

- Building recruiting tools that improve reach and relevance. Create workflows for talent mapping, research, enrichment, and rediscovery of candidates already in our network. Help recruiters turn scattered information into useful context.
- Running measurable growth experiments. Partner with Recruiting to test sourcing channels, outreach workflows, referrals, and candidate nurture. Measure qualified conversations and downstream conversion.
- Connecting our systems. Build integrations across Ashby, our People systems, and collaboration tools using APIs, webhooks, and reliable data pipelines.
- Automating People workflows. Improve onboarding, employee requests, lifecycle handoffs, and recurring reporting. Build tools that make the right action easy and ownership clear.
- Making the data usable. Create trusted datasets and dashboards that show where candidates stall, where teams lose time, and whether a change improves the process.
- Putting AI to practical use. Build and evaluate AI-assisted research, information retrieval, summarization, and workflow support. Make outputs easy to verify and keep people accountable for hiring and employee decisions.
- Owning what you ship. Take tools from prototype to everyday use, with appropriate testing, monitoring, documentation, and access controls. Stay close to users and keep improving them.

You’ll thrive here if

- You’ve built and shipped software, internal tools, or growth systems that people actually use.
- You can code confidently in Python or TypeScript/JavaScript, work with SQL, and integrate APIs.
- You can turn an ambiguous operational problem into a small, useful first version and iterate from there.
- You think in experiments: define the problem, establish a baseline, ship a change, and check the result.
- You’ve built with LLMs and understand how to evaluate output quality and handle failures.
- You care about adoption and reliability as much as the initial build.
- You work well with nontechnical teammates and handle candidate and employee data thoughtfully.

Bonus points

- You’ve worked on recruiting technology, People systems, growth engineering, or revenue operations tooling.
- You’ve built integrations with Ashby or another ATS, CRM, or HRIS.
- You’ve worked with public research and developer data, such as papers, citations, or GitHub profiles.
- You’ve combined custom code with tools such as n8n, Make, or Zapier.
- You’ve been an early builder at a startup and owned tools from initial idea through ongoing maintenance.

The offer

- Competitive base salary plus meaningful equity.
- Visa sponsorship and relocation support.
- Hybrid: 3–4+ days per week in our office.
- A broad engineering remit, direct access to your users, and the opportunity to build systems that help Genesis hire and scale.

Genesis is an equal opportunity employer. We welcome people with different backgrounds, experiences, and perspectives.

## About Genesis

## Company Overview
- **One-liner**: Genesis AI is a full-stack robotics company building general-purpose robots with human-level dexterity and intelligence, powered by its own foundation model and hardware.
- **Entity Type**: Private (Seed stage – $105M raised)
- **Headquarters**: Paris, France (with offices in the San Francisco Bay Area and London)
- **Founded**: 2024 (emerged from stealth in July 2025)
- **Founders**: Zhou Xian (CEO), Théophile Gervet (President & Co-founder), Yi-Ling Qiao (Co-founder), Tsun-Hsuan Wang (Co-founder)

## Core Business
- **Primary industry**: Robotics Engineering / General-Purpose Robotics
- **Target customers**: Enterprises in manufacturing, laboratories, hospitals, and logistics; future expansion into homes.
- **Mission**: “Build the world’s most capable robots that unlock new possibilities for humans.”

## Products & Services
- **Eno (General-Purpose Robot)**: A full-body robot designed to operate reliably in factories, labs, hospitals, and homes. Driven by the GENE foundation model, it features 20 active, back-drivable degrees of freedom in its hands – matching human size and dexterity.
- **GENE-26.5 (Foundation Model)**: The AI model that powers Eno. It understands goals, reasons through changing conditions, and completes tasks end-to-end. Trained on massive human-based internet video data and proprietary simulation.
- **Data Collection Glove**: A lightweight, sensor-loaded glove worn by humans to collect high-quality manipulation data in real-world settings (e.g., lab technicians, manufacturing workers). This glove bridges the “embodiment gap” and feeds the model with human skill data.
- **Simulation System**: A proprietary simulation environment that accelerates model training and evaluation, reducing the iteration bottleneck.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: Total funding of **$105M** (Seed round, July 2025)
- **Notable Investors/Partners**: Eclipse (co-lead), Khosla Ventures (co-lead), Bpifrance, HSG; individual investors Eric Schmidt, Xavier Niel, Daniela Rus, Vladlen Koltun. Hardware manufacturing partner: Wuji Tech (China).
- **Growth Signals**:
  - Headcount grew from stealth to ~53–60 employees across Paris, Bay Area, and London (monthly growth +16% on LinkedIn).
  - 29 active job postings as of mid-2026, with a +262.5% monthly increase in openings.
  - Demonstrated a wide range of manipulation tasks (cooking, piano, Rubik’s cube, lab work) in public demos.
  - In talks with multiple customers for commercial deployment in pharma and manufacturing.

## Competitive Advantages
- **Full-stack integration**: Genesis controls both the AI model and the robotic hardware, enabling tighter optimization and faster iteration than companies that only do software or hardware.
- **Human-like dexterity**: The robotic hand matches human size, shape, and 20 degrees of freedom, allowing direct transfer of human demonstration data without an “embodiment gap.”
- **Data flywheel**: The combination of a low-friction data collection glove, simulation, and egocentric video creates a scalable pipeline for building a “human skill library.”
- **World-class team**: Founders and early engineers have backgrounds from Mistral AI, NVIDIA, Google DeepMind, Apple Intelligence, Unity, Epic, and leading robotics labs (Berkeley, CMU).

## Strategic Focus
- **Go full stack**: Continue integrating model, hardware, and data collection to deliver a complete general-purpose robot.
- **Commercial rollout**: Target early customers in pharmaceutical labs, manufacturing, and other industrial settings where dexterous manipulation is critical.
- **Scale data collection**: Expand the use of the data glove (both internally and with third-party partners) to rapidly grow the model’s skill repertoire.
- **Global hiring**: Aggressively grow the team across Paris, Bay Area, and London, especially in ML, simulation, rendering, and robotics engineering.

## Why Work Here
- **Culture**: Values include candor, responsibility, limitless ambition, and a joyful journey. The team is described as multicultural, optimistic, and pragmatic.
- **Work model**: Hybrid/office-based presence in Paris, San Francisco Bay Area, and London. No explicit remote policy mentioned, but the company emphasizes in-person collaboration.
- **Engineering culture**: Builders get to work on the hardest problems in robotics and AI – from foundation models to hardware design to data systems. The team includes pioneers of generative simulation, Diffusion Policy, and GPU compilers.
- **Notable perks**: The chance to shape a category-defining general-purpose robot; close collaboration with world-class investors and advisors; fast-growing startup with significant resources ($105M seed).

## Sources
1. [Genesis AI – Official Website](https://www.genesis.ai/)
2. [Genesis AI – Careers Page](https://www.genesis.ai/careers)
3. [TechCrunch – “Khosla-backed robotics startup Genesis AI has gone full stack, demo shows”](https://techcrunch.com/2026/05/06/khosla-backed-robotics-startup-genesis-ai-has-gone-full-stack-demo-shows/)
4. [LinkedIn – Genesis AI Company Profile](https://www.linkedin.com/company/gs-ai)
5. [robotics.press – Genesis AI Company Profile](https://robotics.press/news/genesis-ai-company-profile/)

## Other roles at Genesis

- [Executive Assistant to Founders](https://feeny.ai/job/executive-assistant-to-founders-genesis-bay-area-edm3w5gmmg9p) — Bay Area
- [Chief of Staff & Investor Relations](https://feeny.ai/job/chief-of-staff-investor-relations-genesis-bay-area-gjnyjbp7a88x) — Bay Area
- [Senior People Partner](https://feeny.ai/job/senior-people-partner-genesis-bay-area-tvfa3fz8b6j6) — Bay Area
- [Recruiting Coordinator](https://feeny.ai/job/recruiting-coordinator-genesis-bay-area-njgnq2es9key) — Bay Area
- [In-House Creator](https://feeny.ai/job/in-house-creator-genesis-bay-area-c1gt9pye76j7) — Bay Area
- [Social Media Manager](https://feeny.ai/job/social-media-manager-genesis-bay-area-rm2dtv978nfg) — Bay Area
- [Head of Supply Chain (Robot Production)](https://feeny.ai/job/head-of-supply-chain-robot-production-genesis-bay-area-jw26jwaqx9kf) — Bay Area
- [Deployment Program and Operation Manager](https://feeny.ai/job/deployment-program-and-operation-manager-genesis-bay-area-xmzss081bqff) — Bay Area
- [Deployment Solution Engineer](https://feeny.ai/job/deployment-solution-engineer-genesis-bay-area-wv4ta5ey03tv) — Bay Area
- [Head of Manufacturing Engineering (US)](https://feeny.ai/job/head-of-manufacturing-engineering-us-genesis-bay-area-fb8wzxq4xxz5) — Bay Area