Lark Technologies software engineering team works with cutting-edge tools and technology related to Artificial Intelligence and Machine Learning. The software engineering team is innovating healthcare with chronic disease management and prevention through infinitely scalable AI. Lark’s chat AI is the most sophisticated digital health engagement tool in the world. Our AI is clinically proven to achieve equivalent health outcomes as the facilitation and care of live healthcare professionals.
We are looking for a talented Fullstack Engineer to help scale Lark's services to better serve millions all of the US. Robust, scalable code and services that help make a positive difference in our users' lives. That's what excites Lark's engineering team - and this is an amazing opportunity to join. This role has the opportunity to work all over the stack and driving behavior-change solutions alongside Lark's Product team.
ABOUT THE ROLE
What You’ll Do:
Explore how to optimize user acquisition in the healthcare space
Increase unoptimized conversions by 2
Use various sources of data to drive key marketing/product decisions
What You’ll Need:
Experience with user acquisition for other apps (Been there, done that.)
Proficiency with an OOPL, like, Java, Ruby or Python
Extensive knowledge of third party software tools to optimize flows (GA, Tableau, etc.)
A love of startups and owning things
Our team works with cutting edge tools and technology related to Artificial Intelligence and Machine Learning. We are using NLP to process millions of meals, and accelerometer data to compute activity and sleep amounts from users' phones. Our chat AI is the most sophisticated digital health engagement tool in the world. Join us and make it even better!
Lark is an Equal Opportunity Employer. Lark does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.