Usability Engineer - User Science

User research expertise: Proficiency in both qualitative and quantitative user research methodologies, including user interviews, usability testing, A/B testing, surveys, and data analysis.

Tinkerer mindset: A passion for hacking, exploring, and building creative solutions, whether through technical prototyping, scripting, or research tooling.

Portfolio: A robust portfolio showcasing a range of user research, design, or engineering projects that show a talent for exploration, optimization, and transforming insights into action.

Experience with Linux.

Some conceptual knowledge of container tech (such as LXD, Docker, Kubernetes), OpenStack deployment or operations, or public or private cloud management.

Some experience with or interest in data analysis frameworks in Python (e.g.

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits below, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.

Fully remote working environment - we’ve been working remotely since 2004!

Personal learning and development budget of 2,000USD per annum

Annual compensation review

Recognition rewards

Collecting and synthesizing user data: Developing user insights in diverse formats, scientifically analyzing data from A/B tests, usability studies, and other methodologies to create compelling findings.

Prototyping for impact: Building lightweight prototypes, data visualization dashboards, or automation scripts to enhance broader consumption of research.

Responding to audience needs: Calibrating research presentations with sensitivity and precision in a highly technical environment, understanding what level of depth is right for each stakeholder.

Promoting a data-informed culture: Working closely with process, product, and engineering teams to integrate user research into existing decision-making flows.

Building research scalability and interoperability: Strengthening research ops infrastructure, making key methodologies more accessible, actionable, and repeatable.

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. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will 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.