
501 - 1000 employees
Founded 2004
🤖 Artificial Intelligence
Open Source • Cloud • Artificial Intelligence
Canonical is the company behind Ubuntu, the world's most popular open-source operating system, which provides fast, modern, and secure Linux solutions for desktops, servers, and cloud environments. They offer a comprehensive set of products and services, including Ubuntu Desktop, Ubuntu Server, cloud solutions such as OpenStack, and tools for managing containerized applications with Kubernetes. Canonical focuses on making open-source technology reliable and accessible across various industries, from IoT and AI to enterprise infrastructure.
🔥 1 minute ago
Where this job comes from
Posted on Canonical's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago

501 - 1000 employees
Founded 2004
🤖 Artificial Intelligence
Open Source • Cloud • Artificial Intelligence
Canonical is the company behind Ubuntu, the world's most popular open-source operating system, which provides fast, modern, and secure Linux solutions for desktops, servers, and cloud environments. They offer a comprehensive set of products and services, including Ubuntu Desktop, Ubuntu Server, cloud solutions such as OpenStack, and tools for managing containerized applications with Kubernetes. Canonical focuses on making open-source technology reliable and accessible across various industries, from IoT and AI to enterprise infrastructure.
• Drive talent analytics and provide real-time insight to the business • Partner with Hiring Leads and stakeholders to improve hiring processes • Conduct in-depth behavioural talent interviews and provide insights into motivations and behaviours • Build relationships with global stakeholders and monitor hiring activities • Drive data-driven insights and robust decision-making processes • Consider employer brand and candidate experience • Review and streamline hiring processes and tools for continuous improvement • Work with external third parties and platforms to maximise return on investment • Promote diversity and inclusion and remove unconscious bias from hiring processes • Drive initiatives, automation, and best practices while advising on talent assessments
• Passion and drive to embed scientific approaches that deliver impact on how an organisation selects talent • Strong behavioural interviewing techniques, including competency-based and psychometric assessments • Excellent analytical problem-solving ability using SQL, statistical analysis, Python, and BI tooling • Exceptional academic background including a Bachelor's or Master's degree in a Psychology-based subject • High level of personal organisation to work remotely and be effective • Experience of hiring talent in the technology or consulting industry • Data-driven mindset with ability to create measurable outcomes • Passion for scientific approaches to talent selection and predicting and measuring hiring outcomes • Exposure to psychometric assessments, including interpretation • Experience conducting behavioural, competency-based interviews and training stakeholders • Willingness to travel to company events 2–4 times a year, for up to two weeks each • Experience in sourcing and headhunting • Experience in statistical significance testing, Bayesian inference, predictive analytics, and/or machine learning • Exposure to LinkedIn Talent Insights, Greenhouse, DISC profiling, and Superset • Knowledge of psychometric validity and reliability metrics
• Distributed work environment with twice-yearly team sprints in person • Personal learning and development budget of USD 2,000 per year • Annual compensation review • Recognition rewards • Annual holiday leave • Maternity and paternity leave • Employee Assistance Programme • Opportunity to travel to new locations to meet colleagues • Priority Pass, and travel upgrades for long haul company events • Performance-driven annual bonus • Remote-first work environment
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