We are a tight-knit team of educators, engineers, AI researchers, and learning scientists united by a shared belief: everyone deserves a truly personalized path to mastery.
Matheus has a decade of experience in edtech and enterprise software. Before founding Learpy, he led product at a major Brazilian online education platform, where he saw firsthand how generic course content fails most learners. He holds a degree in Computer Science from USP and an MBA from FGV.
Sofia is a machine learning engineer with deep expertise in recommendation systems and natural language processing. Previously she led the AI personalization team at a NASDAQ-listed SaaS company. She has three patents in adaptive algorithm design and holds an MSc in Computer Science from Stanford.
Daniel brings eight years of SaaS product management experience spanning both B2C and enterprise platforms. He specializes in converting complex AI capabilities into intuitive user experiences. Before Learpy, Daniel was Senior PM at a Series B learning analytics company.
Priya has spent twelve years helping organizations transform their learning and development programs. She holds certifications in instructional design and organizational psychology, and has personally led L&D transformations at companies with over 5,000 employees across three continents.
Lucas is a cognitive scientist turned AI researcher with a Ph.D. in Educational Psychology from PUC-Rio. He has published fifteen peer-reviewed papers on spaced repetition, adaptive feedback systems, and learning transfer. His research directly informs the science behind Learpy's AI engine.
Learpy is a remote-first company headquartered in São Paulo, with team members across Brazil, the United States, and Europe. We believe the best talent should be able to work from anywhere.
Every process, tool, and communication norm at Learpy is designed for distributed teams. Remote is not a concession — it's our default operating mode.
Every team member receives a $2,000 annual learning budget. We believe the best people who build a learning platform are people who love learning themselves.
We hold weekly research sessions where team members share discoveries from cognitive science, AI research, and product design. Curiosity is a core hiring criterion.
We're always looking for talented people who are passionate about making learning work better for everyone. Check our open positions or reach out directly.