Dyneti is building the future of authentication, starting with making frictionless, fraud-free payments available on every mobile device. Our first product is an SDK that helps apps stop fraud and boost conversion by taking a photo of a credit card. The SDK is powered by bleeding edge technology (deep learning on the edge). If you’re interested in being a critical part of one of the first startups working in the deep learning on mobile space, we’d love to talk to you!

Dyneti supports enterprise customers globally and has raised $2.2 Million from global, prominent institutional funds such as Shasta Ventures and Y Combinator, as well as from prominent angel investors.

In TechCrunch: https://techcrunch.com/2019/03/19/best-of-y-combinator/

To apply, drop us a note and resume at [email protected]

About Your Role:

Join Dyneti as part of the founding engineering team. You will become the primary engineer on our projects across our backend. You will work directly with the CEO to design and build new features, help roll out new products, and increase customer yield and retention.

We’re Looking for Someone Who:

• Holds yourself and others to a high bar when working with production systems
• Can work independently
• Is comfortable in a variety of engineering settings, from frontend UX changes to database design to quick-and-dirty Python scripts
• Likes to ship code and test user-facing changes
• Has experience as a tech lead or engineering manager
• Payments experience preferred
• Interest in deep learning preferred

About Dyneti:

Dyneti is an early stage YC-startup (TechCrunch Top 10: https://techcrunch.com/2019/03/19/best-of-y-combinator/) looking to make frictionless, fraud-free payments available on every mobile device. Our first product is an SDK that helps apps stop fraud and boost conversion by taking a photo of a credit card. The SDK is powered by bleeding edge technology (deep learning on the edge). If you’re a scrappy engineer interested in being a critical part of one of the first startups working in the deep learning on mobile space, we’d love to talk to you!