Co-Founder & CTO (gn), Industrial Data for AI, Paris — Opportunihub
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Co-Founder & CTO (gn), Industrial Data for AI, Paris

FoodLabs · Remote job

At a glance

Type
Job
Organisation
FoodLabs
Location
Remote job
Work mode
Remote
Deadline
Rolling / not stated
Posted
22 Oct 2026

About this job

<h2><strong><span style="color:#000000">About FoodLabs</span></strong></h2><p><span style="color:#121317">FoodLabs is Europe's leading early-stage VC and venture studio, backing founders who are shaping the future of the food, health, and climate value chains. We build companies from zero, putting capital, our own team, and hands-on operating time behind a founding team before there's a product or even a name. The studio's work spans wherever a market and the data or infrastructure underneath it are broken enough to justify building the fix from scratch.</span></p><p><span style="color:#000000"> </span></p><h2><strong><span style="color:#000000">About The General Data Corporation</span></strong></h2><p><u><a rel="noopener" target="_blank" href="https://generaldata.io/"><span style="color:#1155CC">General Data</span></a></u><span style="color:#000000"> is the infrastructure for licensing proprietary data: The platform runs the whole deal from request to delivery, with privacy checks, rights evidence and contracts built in. The vision is to become the system of record between AI and the world’s private data, the data that has never been published but that the next generation of AI depends on. On one side are enterprises, AI labs and robotics teams that need real-world data, and on the other are companies whose operations generate it. General Data is the data infrastructure for the modern economy, connecting every party so that data can be licensed safely, transparently and at scale.</span></p><p style="min-height: 1.7em;"></p><h2><strong><span style="color:#000000">Why this is a unique opportunity</span></strong></h2><p><span style="color:#121317">AI has absorbed the public internet, and its next gains will come from private, real-world data, yet today these deals still run on email, WhatsApp and brokers, with no visibility into what was checked, who holds the rights, or whether personal data was removed. Labs are already paying for this data, and regulation like GDPR and the EU Data Act makes a trusted, verifiable layer a necessity. </span></p><p><span style="color:#121317">General Data is VC-backed and looking for its technical co-founder. Together with Founder &amp; CEO </span><u><a rel="noopener" target="_blank" href="https://www.linkedin.com/in/louaiallani/?isSelfProfile=false"><span style="color:#121317">Louai Allani</span></a></u><span style="color:#121317">, you will own the product and architecture, shape the company’s direction as an equal partner and build the team from the ground up.</span></p><p style="min-height: 1.7em;"></p><h2><strong><span style="color:#000000">About the role</span></strong></h2><ul><li><p><strong><span style="color:#000000">Supplier intake: </span></strong><span style="color:#000000">Build connectors for where companies actually keep their data: Databases, document stores, ticketing systems, machine logs, and sensor and video archives.&nbsp;</span></p></li><li><p><strong><span style="color:#000000">Transaction layer:</span></strong><span style="color:#000000"> Own the pipeline, rights evidence, contracts, permissions, audit trail and delivery API.</span></p></li><li><p><strong><span style="color:#000000">ML and data quality:</span></strong><span style="color:#000000"> Build anonymisation across text, tables, images and video, plus re-identification checks, deduplication, quality scoring and tooling that turns raw records into training-ready data.&nbsp;</span></p></li><li><p><strong><span style="color:#000000">Delivery and compute:</span></strong><span style="color:#000000"> Decide whether data is processed in our cloud or inside the supplier’s environment. Build secure delivery, recurring updates and our GPU infrastructure.</span></p></li><li><p><strong><span style="color:#000000">Technical direction: </span></strong><span style="color:#000000">Own the architecture and roadmap. Work directly with labs, suppliers and researchers to understand what the system needs to become.</span></p></li></ul><p style="min-height: 1.7em;"></p><h2><strong><span style="color:#000000">What you need to succeed</span></strong></h2><ul><li><p><strong><span style="color:#000000">Data infrastructure at scale: </span></strong><span style="color:#000000">You have built pipelines for large unstructured datasets, such as video, images, sensor logs or documents, at terabyte scale or more.</span></p></li><li><p><strong><span style="color:#000000">Physical-world data: </span></strong><span style="color:#000000">You have worked with documents, logs, video or sensor streams, ideally in robotics, industrial or autonomous systems and know what embodied AI teams need from data and where it breaks.</span></p></li><li><p><strong><span style="color:#000000">Sensitive data:</span></strong><span style="color:#000000"> You know how to handle personal and confidential data safely. Experience with regulated data is a plus.</span></p></li><li><p><strong><span style="color:#000000">Technical leadership:</span></strong><span style="color:#000000"> You make architectural decisions, explain them clearly and raise the engineering bar as the team grows.</span></p></li><li><p><strong><span style="color:#000000">Hands-on Builder: </span></strong><span style="color:#000000">You have taken a product, platform or open-source project from 0 to 1 that others relied on, and you still write code and own the critical paths.</span></p></li><li><p><strong><span style="color:#000000">Founder mindset:</span></strong><span style="color:#000000"> You care about the outcome, not the title. You form strong views, test them quickly and are comfortable owning technical, product and operational problems.</span></p></li><li><p><strong><span style="color:#000000">Location:</span></strong><span style="color:#000000"> Paris preferred. English required; French is a plus.</span></p></li></ul><p style="min-height: 1.7em;"></p><p><strong><span style="color:#000000">Please note:</span></strong><span style="color:#000000"> As a co-founder, you take a real stake in what we build. The compensation is a founder salary, and your upside grows with the company through your equity. Come build the infrastructure between AI and the world's data with us!</span></p> <br> <p>Find <a href="https://www.arbeitnow.fr">Jobs in France</a> on Arbeitnow</a>

How to apply

  1. 1 Read the full details above and confirm you meet the eligibility criteria.
  2. 2 Prepare your documents — an updated CV, and any cover letter, proposal or certificates required.
  3. 3 Click Apply on official site to complete your application on FoodLabs’s official page.
  4. 4 Submit as early as possible — many close once filled.
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Review the full details and eligibility on this page, prepare your documents, then use the “Apply on official site” button to complete your application on FoodLabs’s official page.

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