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Usability Engineer – User Science

AI Summary
Canonical is seeking a Usability Engineer to help establish and scale its User Science practice across product, engineering, and process teams. The role combines qualitative and quantitative research, including interviews, usability testing, surveys, A/B tests, and synthesis of user data into actionable findings. The successful candidate will also build lightweight prototypes, dashboards, scripts, and research-operations frameworks that make research accessible and repeatable. This is a remote EMEA position requiring strong stakeholder communication, technical fluency, research advocacy, and a portfolio demonstrating impact from insight through implementation.
Remote from
EMEA
Salary
Undisclosed
Employment
Full Time
Experience
Open level
Published
Apply before
7 Dec 2026
Listing views
35
Application actions
3
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Opportunity details

About this role.

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world’s leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing.

We are hiring a Usability Engineer for our Design Team.

User Science is an evolving design discipline at Canonical. While we have long incorporated diverse research on user needs into our products, the mission of the newly formed User Science team is to expand beyond traditional models of UX research, integrating user needs end-to-end in development processes and quality standards across the company.

This mission requires skillful advocacy as well as organizational learning and change. As process pioneers, we draw insights from others, foster collaborative user research cultures, and constantly innovate with frameworks and standards.

Location: This role will be based remotely in the EMEA region.

The role entails

  • 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.
  • Fostering a learning culture: Contribute to the evolving definition of User Science through user-centered training, resource development, and outreach.

What we are looking for in you

  • Exceptional academic track record from both high school and university
  • Bachelor’s or Master’s degree in a related field such as Design, Engineering, Data Science or similar, or a compelling narrative about your alternative chosen path.
  • 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.
  • A degree of technical fluency: Ability to quickly pick up technical concepts, engage deeply with engineering and process optimization teams, and contribute to cross-functional discussions.
  • A talent for optimization: A strong alignment towards building research ops, systematizing best practices, and creating frameworks for broader knowledge-sharing.
  • Finely tuned communication skills: Impeccable verbal and written communication abilities, characterized by warmth, precision, and a commitment to maintaining high-quality standards.
  • 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.

Nice to have skills

  • 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. pandas, seaborn), R, MATLAB or similar.
  • A proven track record of contributing to Open Source projects or communities.
  • A passion for aesthetics, visualization, or design.

What we offer you

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
  • Annual holiday leave
  • Parental Leave
  • Employee Assistance Programme
  • Opportunity to travel to new locations to meet colleagues at ‘sprints’
  • Priority Pass for travel and travel upgrades for long haul company events

About Canonical

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.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-remote

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe role spans research execution, data analysis, technical prototyping, and organizational change in a highly technical open-source environment. Success depends on independently creating scalable practices while persuading varied stakeholders to adopt user-informed decisions.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Highly competitive
$110,000
US market range (per year)$85k–$135k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. Canonical does not disclose a base-salary range for this role. The annual USD figures are AI estimates for a mid-to-senior usability/user-research engineering role and are not employer-verified; yearly cadence is inferred from standard full-time professional compensation conventions.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you turn findings from several usability studies into decisions that engineering teams can act on?

I would synthesize observations into recurring themes, quantify severity and reach where possible, and connect each finding to a user outcome and product risk. I would then present prioritized recommendations with supporting evidence, proposed success measures, and enough technical context for teams to plan implementation.

Describe how you would design an A/B test for a product usability hypothesis.

I would begin with a specific hypothesis, such as whether a revised workflow improves task completion. I would define the target population, primary and guardrail metrics, required sample size, experiment duration, and decision thresholds, while checking for instrumentation quality and possible confounding factors before launch.

What would you include in a scalable research-operations framework?

I would establish repeatable templates for study plans, consent, recruitment, note-taking, synthesis, and reporting. I would also create a searchable research repository, participant-management process, quality standards, and a lightweight intake model so teams can find and reuse evidence rather than repeatedly commissioning similar work.

How do you communicate research results to stakeholders with very different levels of technical knowledge?

I tailor the depth and format to the audience while preserving the evidence behind the conclusion. Executives may need concise implications and trade-offs, whereas engineers may need workflow details, recordings, event definitions, and acceptance criteria; in both cases, I make the recommended action unambiguous.

How could technical prototyping strengthen a user research function?

Small prototypes can test concepts before expensive implementation, make abstract findings tangible, and accelerate alignment across functions. I would also use scripts or dashboards to automate repetitive analysis, monitor research metrics, and make evidence easier for teams to access.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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