Android (nice to have)
We are hiring a product engineer remotely, anywhere in Europe : full of energy, passionate about building great products and user experiences, and excited by our mission and our team.
We are looking for somebody with a Computer Science (or related) degree or significant experience in the field.
You will work on :
Improving the user experience with our apps, used day-to-day on crop fields in various conditions (offline, bad weather )
Understanding agronomists’ needs and translate them into product features
Helping our clients’ oversight of their portfolios with clear information and reporting
Building abstractions that enable us to re-use code across web, mobile, & server
Cramming gigabytes of data into our Android and iOS apps
What we look for :
Good product sense and an eye for design
Ability to navigate large TypeScript codebases
Can bring features from concept to completion and iterate on them
Comfortable with CSS
We would describe ourselves as follows :
We value being a small & elite team that can achieve a lot
We move fast with enough process to keep things going
We are focused on building great products and having a business impact
Our team is less structured and people wear multiple hats
Remote-first team that meets on a quarterly basis to connect and have fun
We are mostly agnostic of people's background, as long as they're willing to learn!
We use Node, React, & React Native, and share much of the Typescript code between the three platforms.
We sometimes use Objective-C / Kotlin / C++ to access native features on iOS / Android, such as our library, react-native-leveldb
We use Postgresql, PostGIS, Python, GDAL, and numpy to store & process everything else, from agronomic data to timeseries & vector graphics.
GreenTriangle makes farming financially viable by helping farmers manage their volatility. Our customers, some of the largest (re-)insurers in the world, help those farmers manage this volatility by insuring them against agricultural risks.
We collect high-quality yield / claims data which is essential to providing crop insurance products. Then, we correlate this data with signals obtained from satellite imagery and use machine learning, so that we can predict volatility and, ultimately, price and settle insurance products.
We started in 2017, currently serve all big names in France, and are launched in Europe, Uruguay, Brazil, U.S., South Africa, and a bunch of other countries.