HiringCafe
Founding Full-stack / Product Engineer
Cupertino
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hirly's read of this role
- Role family
- Engineering
- Seniority
- Mid level
- Stated salary
- $130,000 – $300,000 per year
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 28 Sept 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
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.
HiringCafe.com 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 team
Hamed 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
What we’re building
AI agents that help people discover opportunities they wouldn’t have found on their own
A two-sided marketplace connecting every job on earth to the best candidate
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
What you bring to the table
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 shipping full-stack product (ideally one of the below)
Building polished React / Next.js interfaces
Owning backend API routes and data flows across Firebase, Elasticsearch, Redis, Stripe
Building large-scale data pipelines using LLMs
Perks
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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