[All remote jobs](https://jobicy.com/jobs.md)[![Canonical logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/b4d068a9-221-1.png)](https://jobicy.com/company/canonical-ltd.md)[Canonical](https://jobicy.com/company/canonical-ltd.md)

# Senior Design Researcher – User Science

AI Summary Canonical is seeking a senior user researcher to help establish and scale its User Science discipline across product development and organizational processes. The role combines qualitative and quantitative research, including interviews, usability testing, surveys, A/B testing, and data analysis. The researcher will build research operations, communicate evidence-based insights to technical and product stakeholders, and support a company-wide user-centered culture. Success requires a strong portfolio, compelling visual and written storytelling, technical curiosity, and the ability to organize complex research knowledge. The role is fully remote within EMEA and reports to the User Science Manager.[Apply for this job](#job-application)[View company](https://jobicy.com/company/canonical-ltd.md)ShareRemote from[EMEA](https://jobicy.com/job-region/emea.md)SalaryUndisclosedDepartment[Web, UI & UX Design](https://jobicy.com/categories/web-app-design.md)EmploymentFull TimeExperienceSeniorPublished6 Nov 2026Apply before6 Dec 2026Listing views49Application actions2Application toolkit

## Make your next move.

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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 Senior Design Researcher 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.

This role sits in the design team reporting to the User Science Manager.

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

### The role entails

* Conducting user research: Developing user insights in diverse formats, identifying and championing user needs across product areas.
* Sharing findings concisely and skillfully: Supporting different teams with well-matched research presentations and clear documentation systems.
* Promoting and shaping 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: Owning research ops infrastructure, making key methodologies more accessible, actionable, and repeatable.
* Fostering a learning culture: Contributing 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, Human-Computer Interaction, Engineering or similar, or a compelling narrative about your alternative chosen path.
* Deep research expertise: Proficiency in both qualitative and quantitative user research methodologies, including user interviews, usability testing, A/B testing, surveys, and data analysis. Exceptional depth in either qualitative or quantitative skills.
* Strong technical curiosity: An alignment with and interest in open-source culture and the ability to engage deeply with technical subjects and stakeholders.
* Proficiency in visual design and/or information design: Capability to translate complex data or ideas into strong, convincing visuals, ensuring that insights are both accessible and memorable.
* A talent for storytelling and collaboration: Outstanding ability to craft narratives that effectively explain research findings and resonate with diverse audiences.
* A knack for turning chaos into clarity: Meticulous organization and archivist skills, with the ability to transform scattered findings or disparate processes into cohesive, structured knowledge systems.
* Portfolio: A robust portfolio showcasing a range of user research and/or design projects that highlight the ability to derive actionable insights from research and directly influence 1) product design and strategy or 2) organizational change.

### 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.](https://canonical.com/careers/diversity/identity)

#LI-remote

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[Apply now >](https://jobicy.com/jobs/159436-senior-design-researcher-user-science.md)

>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

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![Upload CV](data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI2NSIgaGVpZ2h0PSI2NSIgZmlsbD0ibm9uZSIgeG1sbnM6dj0iaHR0cHM6Ly92ZWN0YS5pby9uYW5vIj48ZyBjbGlwLXBhdGg9InVybCgjQSkiPjxwYXRoIGQ9Ik0wIDBINjVWNjVIMFYwWiIgZmlsbD0iIzAyOWFlYiIvPjxnIGZpbGw9IiNmZmYiIHN0cm9rZT0iI2ZmZiIgc3Ryb2tlLXdpZHRoPSIyIj48cGF0aCBkPSJNMzMuMDQ5IDE1LjQ1NGExLjQzIDEuNDMgMCAwIDAtMi4wOTcgMGwtNy41NzkgOC4xNDdhMS4zOCAxLjM4IDAgMCAwIC4wOSAxLjk3MyAxLjQ0IDEuNDQgMCAwIDAgMi4wMDgtLjA4OGw1LjEwOS01LjQ5MnYyMC42MWExLjQxIDEuNDEgMCAwIDAgMS40MjEgMS4zOTdjLjc4NSAwIDEuNDIxLS42MjUgMS40MjEtMS4zOTd2LTIwLjYxbDUuMTA5IDUuNDkyYTEuNDQgMS40NCAwIDAgMCAyLjAwOC4wODggMS4zOCAxLjM4IDAgMCAwIC4wOS0xLjk3M2wtNy41NzktOC4xNDZ6TTE2Ljc2OSAzOC40YzAtLjc3My0uNjItMS40LTEuMzg1LTEuNFMxNCAzNy42MjcgMTQgMzguNHYuMTAybC4yMTUgNi4yMjljLjIyMyAxLjY4LjcwMSAzLjA5NSAxLjgxMyA0LjIxOHMyLjUxIDEuNjA3IDQuMTcyIDEuODMzYzEuNi4yMTggMy42MzYuMjE4IDYuMTYuMjE4aDExLjI4bDYuMTYtLjIxOGMxLjY2Mi0uMjI2IDMuMDYxLS43MDkgNC4xNzItMS44MzNzMS41ODktMi41MzggMS44MTMtNC4yMThDNTAgNDMuMTEzIDUwIDQxLjA1NSA1MCAzOC41MDNWMzguNGMwLS43NzMtLjYyLTEuNC0xLjM4NS0xLjRzLTEuMzg1LjYyNy0xLjM4NSAxLjRsLS4xOSA1Ljk1OGMtLjE4MiAxLjM3LS41MTUgMi4wOTUtMS4wMjYgMi42MTJzLTEuMjI4Ljg1My0yLjU4MyAxLjAzOGMtMS4zOTUuMTktMy4yNDMuMTkzLTUuODkzLjE5M0gyNi40NjJjLTIuNjUgMC00LjQ5OC0uMDAzLTUuODkzLS4xOTMtMS4zNTUtLjE4NC0yLjA3Mi0uNTIxLTIuNTgzLTEuMDM4cy0uODQ0LTEuMjQyLTEuMDI2LTIuNjEyYy0uMTg3LTEuNDEtLjE5MS0zLjI3OS0uMTkxLTUuOTU4eiIvPjwvZz48L2c+PGRlZnM+PGNsaXBQYXRoIGlkPSJBIj48cGF0aCBmaWxsPSIjZmZmIiBkPSJNMCAwaDY1djY1SDB6Ii8+PC9jbGlwUGF0aD48L2RlZnM+PC9zdmc+)

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## Role DNA

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

### Job Complexity

5/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a senior, formative role that requires both deep mixed-methods research expertise and the ability to influence processes across a distributed technical organization. The candidate must create scalable research practices while translating complex evidence for varied stakeholders.

## Salary analysis

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

Estimated job median (per year)Market rate$135,000US market range (per year)$110k–$165k0$181.50k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer base-pay range is disclosed. Estimated annual USD market compensation for a senior design researcher is $110,000–$165,000, with an estimated midpoint of $135,000; this is an AI estimate, not employer-provided compensation.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[User research](https://jobicy.com/jobs?search_keywords=User%20research.md)[Qualitative research](https://jobicy.com/jobs?search_keywords=Qualitative%20research.md)[Quantitative research](https://jobicy.com/jobs?search_keywords=Quantitative%20research.md)[User interviews](https://jobicy.com/jobs?search_keywords=User%20interviews.md)[Usability testing](https://jobicy.com/jobs?search_keywords=Usability%20testing.md)[A/B testing](https://jobicy.com/jobs?search_keywords=AB%20testing.md)[Survey design](https://jobicy.com/jobs?search_keywords=Survey%20design.md)[Data analysis](https://jobicy.com/jobs?search_keywords=Data%20analysis.md)[Research operations](https://jobicy.com/jobs?search_keywords=Research%20operations.md)[UX strategy](https://jobicy.com/jobs?search_keywords=UX%20strategy.md)[Information design](https://jobicy.com/jobs?search_keywords=Information%20design.md)[Research storytelling](https://jobicy.com/jobs?search_keywords=Research%20storytelling.md)[Stakeholder management](https://jobicy.com/jobs?search_keywords=Stakeholder%20management.md)[Open-source collaboration](https://jobicy.com/jobs?search_keywords=Open-source%20collaboration.md)

Sample interview questionsHow would you establish a scalable research practice in a distributed organization with teams at different research maturity levels?I would begin with a maturity assessment and stakeholder interviews to identify current workflows, evidence gaps, and high-value decisions. I would then introduce lightweight standards for intake, consent, repositories, synthesis, and insight sharing, piloting them with willing product teams before scaling. Clear templates, office hours, training, and measurable adoption indicators would help make the practice sustainable.

Describe how you combine qualitative and quantitative research to influence a product decision.

I use qualitative work to understand user context, unmet needs, and the reasons behind observed behavior, then use quantitative methods to validate prevalence or evaluate alternatives at scale. For example, interview themes can inform a survey and prototype test, while product analytics can identify the segments most affected. I present the combined evidence with confidence levels, limitations, and a clear decision recommendation.

How do you make research findings compelling for engineering and product stakeholders?

I tailor the format to the decision and audience: concise decision briefs for leaders, annotated workflows for product teams, and concrete technical implications for engineers. I use representative user evidence alongside behavioral data and visuals so findings are memorable without overstating certainty. I also involve stakeholders throughout the study so they understand the context and have ownership of the outcome.

What would you include in a research operations infrastructure for Canonical?

I would prioritize a searchable repository for studies and insights, a participant-management process, research governance and consent standards, reusable study templates, and a shared taxonomy tied to products and user segments. The system should make prior evidence easy to discover and reuse while protecting participant privacy. I would also establish regular mechanisms for sharing learning and evaluating research impact.

Tell us about a time you used research to drive organizational change rather than only a product change.

In a strong example, I would explain the organizational behavior that limited user-centered decisions, the evidence gathered from teams and users, and the interventions introduced such as new planning rituals, training, or evidence requirements. I would show how I collaborated with leaders and practitioners, addressed resistance, and measured adoption over time. The key outcome would be a repeatable change in how teams made decisions, not only a single feature improvement.

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