Ethos is a new kind of life insurance built for people who don't have time for fine print, extra doctors appointments or hidden fees. We have transformed a 15-week process of paper applications and medical exams, into just the click of a button - by quantifying the user’s health risk using predictive models.
Some of the technical challenges to work on and overcome are: - How can we take a normally 8 week process and turn it into something instant? - How can we instantly issue a $1 million insurance contract without meeting someone? - How can we keep user's most private data safe from all threats? - How can we design an experience which gives consumers confidence enough to purchase a financial product without an in-person advisor?
Our team hails from companies such as Google, Facebook, Uber, Snapchat and Instagram. Our investors include Sequoia Capital, Accel Partners, Google Ventures, Jay-Z, Kevin Durant, and Robert Downey Jr. We are growing quickly and looking for passionate people to join our San Francisco office.
Funded by Sequoia, Accel, Google Ventures, Kevin Durant, Jay-Z, Robert Downey Jr, Stanford University. Sequoia has been with us since the very beginning.
We're growing ~50-80% per month.
Our team is A+, everyone have incredible experience in their respective domains.
Our engineering team will work with our Product Managers and Designers to prioritize and spec out features then work on the feature individually or with another teammate. We use Github Issues and Pull Requests to manage code pushes/reviews. Our automated tests will run against each pull request and deployment and our continuous deployment process deploys multiple times per day.
Client Side: - Using static server rendering to provide the fastest perceived user loading time possible - Building slick and delightful user experiences while maintaining re-usable clean modules/code - Building the first flexible questions UI engine for insurance
Server side - Solving multi-source attribution in analytics - Building the first automated underwriting engine that uses multivariate rule sets and flexibly integrates with third party data sources - Automating dozens of repetitive tasks that incumbent insurance companies rely on teams of employees to accomplish
Building the first automated underwriting engine that uses multivariate rule sets and flexibly integrates with third party data sources.
Automating manual processes that traditionally take thousands of employees to manage
Building the best-in-class online purchase experience to eliminate the need to speak with hard-selling life insurance agents
Our cultural values mean a lot to us:
Bias for Action Feedback is a gift Pain + Reflection = Progress Treat customers like family
Unlimited (we actually take our vacation)
Team lunches / in-office lunches / snacks
We comp your for health insurance.
We're all about work output, not time-input. You run your life and schedule...
We have biweekly happy hours, board game nights, and regular events.
Interested in this company?
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