Seeking talented individuals to join Whop in a non-traditional design role focused on innovative and unconventional approaches.
Our mission is to deliver everyone a sustainable income. Right now 50,000 users make money on Whop every month, and this year users will earn over $5B. We will not stop until 1B people are making money on Whop.
Our culture is built on the premise that people should be given budget to take large bets, have full agency, and move fast as fuck. Today there are 100 people full time at Whop.
We don't believe in traditional JDs. The most successful people at Whop have all come from extremely unconventional backgrounds and all we care about is working with the most talented individuals who want to win. Given the small size of our team, we pay best in class with extremely competitive equity packages.
We want to work with people who want to be the best in the world. If that's not you, don't apply.
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What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- 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
