Everest

Compensation

Full Description

Want to be the best? Join us in SF. We’ll cover food and housing so you can focus fully on building. You’ll ship work that goes live in production at IT companies serving millions of SMBs, and you’ll travel with us to conferences and client sites to see your AI deployed in the real world. One week you’re coding in the office, the next you’re shaking hands with IT service owners in Nashville or Orlando. Life at Everest We’re a small, fun, and intense crew. We see each other 5-6 days a week in our SF office. Every meal is all-you-can-eat DoorDash, free housing keeps SF rent from holding you back, and all you need to do is show up hungry to build and make an impact. We travel together. You’ll join us at conferences and client offices, where you’ll see your work running live in production. This isn’t an average coding internship. It’s an opportunity to watch what you built change the way 90% of SMBs in America run. How to apply: https://tally.so/r/wAgzPB (applications without filling out the form might not be considered) What you’ll do Ship real code that goes live in customer environments Build AI agents for networking, cloud infra, and security issues Travel with the team to client offices and industry conferences Work side by side with founders, shaping product and strategy in real time Who you are You think 6 days/week in the office with an ultra-ambitious crew sounds fun You’ve gone beyond localhost (had your own startup, bonus if made money) You’ve interned at a YC startup You learn fast, figure things out, and don’t wait for someone to teach you You want to own big projects, talk to customers face to face, and be part of a $100B company Perks All-you-can-eat meals every day, free housing in our fun-packed intern house in SF Weekly team dinners and monthly outings Travel nationwide to conferences and client offices with the team Direct mentorship from founders and senior engineers, and connection to the wider YC network Learn how to make deals with large businesses and how to deploy into enterprise-level production systems