👥 Who we are
After two years of intense AI research and development at Ecole Normale Supérieure and Ecole Centrale Paris, HrFlow.ai was founded in June 2016 to solve the labor market and employment challenges at scale using the latest innovations in AI.
Having developed a proprietary AI and workflow technology from the ground up that unifies HR data silos, identifies the right candidates for the right jobs without bias, and automates it all, HrFlow.ai has already gained traction with over +1,000 clients, large and small.
HrFlow.ai raised an initial seed round of 2.3M$ in 2018 from some of the most successful technology entrepreneurs in Europe and the United States, including Xavier Niel (Free Telecom & Station F), Dominique Vidal (Index Ventures), Romain Niccoli (Criteo & Pigment), Jean-Baptiste Rudelle (Criteo), Franck Le Ouay (Criteo & LIFEN), Thibaud Elzière (Fotolia & e-Founders), and has since self-funded its growth.
We love AI engineering, problem-solving, and business. Join our diverse team and help us build the next chapter of our exciting growth!
Try out our technology here: https://labs.hrflow.ai.
🚀 Your Mission
We are looking for an Enterprise Solution Architect to serve as the trusted advisor for our enterprise clients. In this role, you’ll design, implement, and scale AI-powered HR solutions that integrate seamlessly into complex client environments.
You’ll work at the intersection of pre-sales, solution design, and customer success—helping organizations move from vision to execution. From the first discovery call to full-scale deployment, your mission is to turn business challenges into robust, future-proof architectures powered by HrFlow.ai.
👑 Responsibilities
🎯 About You - Must Have
🎁 About You - Bonus
🙌 Perks & Benefits
💌 Application process
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1st AI Studio for Talent & Workforce Data Unify, Activate, Automate Talent & Workforce Data.
HrFlow.ai is the 1st multi-layer AI powered API that brings intelligence to your HR Data and bridges the gap between all your data Sources and Destinations.
We also help both vendors and corporates to comply with the G.D.P.R, privacy regulations, algorithmic consent constraints and fairness requirements with pre-built features.