Job discovery is broken. Indeed and LinkedIn want to keep it that way. Join our team and help millions of people put food on the table by finding the perfect job.
Hiring.Cafe is building a 100× better job search engine — fast, comprehensive, honest, and actually useful. We index millions of jobs, remove noise, rank what matters, and help people find real opportunities without dark patterns, ads, or pay-to-win placement.
We don’t believe in hype. We believe in shipping product and listening obsessively to users. In 12 months, we grew from 0 → 1 million+ monthly active users in 12 months. So everything you ship goes directly to real people.
Our teamHamed Nilforoshan - Stanford AI PhD, Data Science at Airbnb & Snapchat
Ali Mir - SWE at Meta, Rippling, DoorDash
Jure Leskovec - Stanford AI Professor, ex-Chief Scientist at Pinterest
AI recommender systems that help people discover opportunities they wouldn’t have found on their own
AI browser agents that scrape every job on earth, in real-time
Scalable infrastructure that transforms fragmented web data into a clean, searchable platform
A product where engineering, data, and design decisions directly shape how people find their next chapter
You want ownership, leverage, and responsibility from day one.
Technically strong with solid fundamentals in programming and systems design
Able to learn fast and go deep on unfamiliar problems
Obsessive about details, quality, and correctness
Relevant experience to building AI search (one or more of the following)
General machine learning background
Large-scale search and ranking systems
ML recommender systems
Retrieval infrastructure
Building LLM Agents
Competitive pay & equity
Flexible PTO & family leave
Full medical, dental, and vision benefits
Design your own perks as a core member of the founding team
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- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
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- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



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