This person can be located in our Toronto, Remote (US), New York City, San Francisco, or Miami office.

We are looking for a Director in Engineering to lead our teams charged with determining and delivering optimal liquidity for every customer in the world in a cost-effective, robust and scalable manner.

You will mentor, lead and grow the team of Applied Scientists, Engineers, and Technical Program Managers building our liquidity and trading platforms that power Ripple’s payments and crypto liquidity products. From forecasting supply and demand, to optimizing routing across traditional and digital assets and venues, to enabling price discovery for the long-tail of crypto assets and tokens, to building a globally distributed, highly performant trading platform—the team leverages cutting-edge ML and engineering techniques to dramatically simplify access to liquidity.

Ideal candidates will have a track record of leadership and technical excellence in designing and delivering reliable global-scale solutions. You will be a hands-on leader, diving deep to set the right goals, set technical direction and deliver results in an incremental manner without sacrificing a long-term vision. You must be passionate about inventing and delivering customer-focused solutions to ambitious and ambiguous challenges.

WHAT YOU’LL DO:

Provide technical and scientific leadership for our forecasting, planning, routing, risk management, execution and experimentation systems that scalably and reliably deliver best-in-class liquidity to our customers.
Own and deliver your roadmap while driving technical and operational excellence across our engineering and machine learning systems
Be a program owner, responsible for business outcomes and technological innovation
Mentor and guide the professional and technical development of your team, both your direct reports and the broader org
Instill a spirit of continuous improvement in the team’s inventions and processes so we can rapidly deliver innovations for customers

WHAT WE’RE LOOKING FOR:

Degree in computer science or other quantitative field; masters or PhD preferred
10+ years of experience in software development
7+ years of experience managing engineering teams; have managed engineering teams of 15+
Track record of building, growing, and leading high performing engineering teams.
Experience delivering complex, real-time internet-scale systems involving machine learning and AI; preferred if in finance or trading domains
Excellent written and verbal communication skills, demonstrated through experience working with technical and non-technical teams
Thrive on autonomy and responsibility.
Track record of recruiting and mentoring world-class teams

Director, Engineering (Machine Learning) - Optimization