Ooak Data turns company data into training data for AI agents.
Frontier labs can train models to reason. They cannot train them to work: navigating a real company's Slack threads, half-finished Notion docs, contradictory Jira tickets, and permission boundaries. That requires real enterprise data, and you cannot synthesize it. You have to source it.
We plug into enterprise tools, anonymize everything into a structurally identical digital twin, and generate reinforcement-learning environments with expert-level tasks calibrated against frontier models. Three weeks from raw company data to an RL-ready environment, three times faster than at launch.
We are a Y Combinator company with signed contracts with three frontier AI labs, and we are scaling delivery aggressively over the next twelve months. Three founders, full-time since December 2025: Pierre-Louis (CEO, ex-COO in edtech, sold data to frontier labs), Grégoire (CPO, first PM at Epsor through Series B), Thomas (CTO, ex-Head of Data at PayLead, ex-Samsung AI lab).
The three of us are the bottleneck.
Our contracted delivery volume is growing by an order of magnitude. That means more data partnerships to close, more people to hire, more contracts to paper, more cash to manage, and a delivery program that has to run on time across multiple customers simultaneously. Right now all of that lands on three founders who should be spending their time on product, technology, and customers.
We are hiring a Chief of Staff to take the operating company off the founders' desks and run it properly. This is not a support role, and it is not a only a strategy role. It is an ownership role: you will be accountable for whether the company can actually execute.
Strategic projects
Operating cadence
Executive-team coordination
Special situations
Ooak Data (YC S26) builds the data infrastructure that frontier AI labs use to train and evaluate their agent models. They collect enterprise data from real company tools — Google Drive, Slack, Gmail, Notion, Jira, SharePoint, Teams, emails, videos, images — anonymize it, and turn it into RL environments and digital twins for agent training. Their core product, Alexandria, is designed to be the world's largest library of real-world business workflow datasets. They're also growing into "enrichment" — creating task ecosystems that let labs train models directly on real-world multi-step workflows, not just receive raw data. Signed large purchase orders with frontier AI labs (not SaaS), now in delivery mode. Data anonymization pipeline has been reduced from ~1 month to ~2 weeks per client.
Salary
$80,000 - $100,000
Equity
0.5% - 1%
Location
Paris, Paris
Experience
6+ years
Last stage
Seed
Investors
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.