Angaza

Angaza creates software that enables businesses to sell life-changing products to anyone, anywhere. Our technology uses an IoT network of connected devices, mobile payments, and machine learning to accelerate the adoption of transformative products, such as solar lights, smartphones, and cookstoves.


Over 2 billion people across the globe live off-grid or are unbanked. Angaza’s technology empowers distributors to make transformative products like clean cookstoves and water pumps accessible and affordable to these individuals in emerging markets. When a family in Tanzania (or Nicaragua, or Nigeria, or Bangladesh) purchases a life-changing product, Angaza’s complete solution enables them to afford the product with convenient incremental payments. With Angaza’s B2B technology solution, distribution businesses in emerging markets can grow their revenue by over 8x by extending their sales and credit offerings to this consumer base.


Today, businesses in 50+ countries around the world have improved the daily lives of over 13 million people through the Angaza platform while supporting 60,000 jobs and averting 1.5 billion kg in CO2 emission.

Angaza Remote (San Francisco, CA, USA)
Feb 09, 2021
Full time
Role Summary: Looking for an opportunity to use your knowledge of statistical methods and credit risk analysis to alleviate poverty and empower people to choose safe, clean energy? You will help us use data to facilitate lending and drive success for distributors of life-changing products in emerging markets. You will support the scale-up of the SIMA Angaza Distributor Finance Fund (DFF), which is unlocking capital for small and medium distributors across Africa. You will also be an integral member of Angaza’s Business Intelligence team reporting to the Director of Analytics and providing mentoring and advice to more junior team members. Finally, you will be responsible for surfacing insights into drivers of distributor success and supporting Angaza’s Product team in better serving distributors. Angaza is building out its data science capabilities around a deep commitment to our core values, high-quality tools, proven development practices, and a philosophy of continuous...