Graduate Project Manager

As an Engineering Manager at Canonical, you must be technically strong, but your main responsibility is to run an effective team and develop the colleagues you manage. You will develop and review code as a leader, while at the same time staying aware of that the best way to improve the product is to ensure that the whole team is focused, productive and unblocked. You are expected to help them grow as engineers, do meaningful work, do it outstandingly well, find professional and personal satisfaction, and work well with colleagues and the community. You will collaborate closely with other Engineering Managers, product managers, and architects, producing an engineering roadmap with ambitious and achievable goals. We expect Engineering Managers to be fluent in the programming language, architecture, and components that their team uses, in this case popular open-source machine learning tools like Kubeflow, MLFlow, and Feast. Code reviews and architectural leadership are part of the job. The commitment to healthy engineering practices, documentation, quality and performance optimisation is as important, as is the requirement for fair and clear management, and the obligation to ensure a high-performing team.
This is a Globally remote role.
Manage a distributed team of engineers and its MLOps/Analytics portfolio
Organize and lead the team's processes in order to help it achieve its objectives
Review code produced by other engineers
Mentor and grow your direct reports, helping them achieve their professional goals
Work from home with global travel for 2 to 4 weeks per year for internal and external events
A proven track record of professional experience of software delivery
Professional python development experience, preferably with a track record in open source
A proven understanding of the machine learning space, its challenges and opportunities to improve
An exceptional academic track record from both high school and preferably university
Willingness to travel up to 4 times a year for internal events
Hands-on experience with machine learning libraries, or tools.
Proven track record of building highly automated machine learning solutions for the cloud.
Experience with building machine learning models
Experience with container technologies (Docker, LXD, Kubernetes, etc.)
Experience with public clouds (AWS, Azure, Google Cloud)
Experience in the Linux and open-source software world
Working knowledge of cloud computing
Passionate about software quality and testing
Experience working on a distributed team on an open source project -- even if that is community open source contributions.
Demonstrated track record of Open Source contributions
Distributed work environment with twice-yearly team sprints in person - we've been working remotely since 2004
Annual compensation review
Annual holiday leave
Opportunity to travel to new locations to meet colleagues from your team and others
Priority Pass for travel and travel upgrades for long haul company events
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.