The Company

Our customer is automating clean energy deployment. They make getting a fully-financed clean energy system for a commercial building as easy as applying for a credit card. The scope of the opportunity is massive: fewer than 4% out of 6 million commercial buildings in the US current use solar.

Your Impact

You will work in a small team of scientists, engineers, designers and entrepreneurs committed to powering our world with clean energy.

• Help to build the engine that allows for automatic evaluation of the economic potential of a building for on-site energy
• Collaborate with data scientists internally and national laboratories to implement data models to predict energy use, utility costs, building characteristics, and potential savings
• Integrate with an emerging suite of software tools and APIs to further modeling capabilities
• Build out a multi-sided user-facing platform for building owners, tenants, installers and financiers to orchestrate a complicated process with intuitive software

About you

• You have experience building full-stack web applications and are comfortable building in Python
• You're ready to take on a high level of responsibility as part of a small team that moves quickly
• While you understand how to build systems that scale you also understand the tradeoff between technical debt and speed, and are comfortable making informed decisions
• Nice to haves: Experience managing data pipelines and deploying ML models, comfort with Docker and managing CI pipelines, familiar with GIS

Technologies you'll be using: Python, Flask, JavaScript, React, NextJS, GraphQL, Google App Engine/Google Cloud Platform