Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.
As a Technical Manager, you will be responsible for the technical and managerial oversight of your team. We believe the best Engineering leaders are deeply technical, and look for colleagues who are able to engage deeply on this level, developing their team in the process, and serving as the key person for their domain of expertise. You will work closely with Engineering leadership and counterparts in Research to develop your team's vision and roadmap, and execute against them.
As Technical Manager, Data Infrastructure Engineering, you will lead a high-performing team responsible for key data technologies and services at Voleon. Your team will design, build and maintain systems and tools to provide a world-class data platform to our research and engineering groups. Your team will create interfaces and set up infrastructure to enable rapid experimentation with data, and easy implementation, configuration, and monitoring of ML workflows.
Your team will deliver performant, resilient, and highly available data platforms and service. You will bring an exceptional attention to detail to your work, ensuring implementation of correct and precise solutions to complex computational and operational problems. You will develop deep observability across all these systems, and grow the necessary expertise within yours and other teams.
You will work with our Data Engineering Lead, VP of Engineering, and other engineering leaders to execute on your vision for your team. You will grow and scale your team according to a roadmap that you develop and own, ensuring accountable, reliable delivery. You'll develop individual engineers in your team to deliver ever more from them. You'll collaborate with peers in engineering and stakeholders in research to balance a diverse set of requirements, and make tradeoffs to ensure the best outcomes for the firm.
Your TeamWe look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation, and strives for operational excellence. You’ll work alongside experienced engineers recruited from leading technology companies and selected from the sharpest minds at university programs. We embrace experimentation, and you and your team will collaborate closely with top machine learning researchers.
