VP Health Insurance
Apply NowJubil ID: 158
Company: Gradient AI
Location: Anywhere
Description:
About UsCircle is building the world's leading all-in-one platform for online communities. We make it possible for creators
coaches
educators
and businesses to bring together their audience with engaging discussions
live streams
events
chat
courses
and payments — all in one place
all under their own brand.We're proud to be a fully remote company of around 180
Qualifications:
5+ years experience working as a full-stack engineer on complex web applications
Strong proficiency in Ruby on Rails
MySQL/Postgresql
ReactJS
Familiarity with both frontend and backend is necessary
but a high degree of proficiency in both is not a requirement
Strong proficiency in at least one programming language commonly used for AI development
Benefits:
You have contributed to open-source AI/ML projects
$130
000 - $140
000 USD per year
The cash compensation range shown is a starting point
In addition to equity
benefits and perks
your cash compensation is subject to an annual review and increase on a once per year basis
Fully remote: work from anywhere in the world!
Autonomy and trust to do your job: we care about outcomes over everything else
Paid time away: all employees are given 35 days of PTO annually
We also offer a paid sabbatical after 5 years
Generous U.S. benchmarked compensation and startup equity no matter where you are in the world.*
Awesome medical coverage with 100% coverage for you and your family
or medical reimbursement options where applicable!*
Parental leave for parents expanding their family
or just starting one
Home office stipend to help you get up and running
Learning & development stipend to help you level up your professional skills
Annual bonus potential for roles that don't already receive variable income or commission
Company retreats: Twice a year
the Circle team gets together for a fully paid company retreat in incredible places around the world!
Responsibilities:
If you're passionate about working on real production use cases of large language models
