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Strong fit if you enjoy product work on foundational software (Ubuntu/open source) and can translate AI opportunities into clear, shippable scope for global, distributed engineering—not if you need on-site U.S. city detail or published pay bands (none in DATA).
As Product Manager – AI at Canonical, you would define AI-related product direction tied to Ubuntu and Canonical’s commercial open-source stack: prioritize roadmaps, align engineering and design, gather customer and community signals, and ship features that fit enterprise and cloud use cases—without inventing tools or metrics beyond this role context.
Pair those with hands-on AI product framing: problem discovery, prioritization, and stakeholder communication for open-source/commercial dual models.
It markets commercial support and related services for Ubuntu and associated projects, with a global remote-friendly workforce and major offices worldwide.
The listing flags remote as 0 and location as United States; treat work arrangement as non-remote unless Canonical’s offer clarifies otherwise.
Saylor Business & Management courses and Google Project Management intro materials are both free per the cert list above.
Website: canonical.com
Canonical Ltd. is a privately held company supporting computer software, based in London, England. It was founded and funded by South African entrepreneur Mark Shuttleworth to market commercial support and related services for the operating system Ubuntu, and related projects. Canonical employs staff in more than 70 countries and maintains offices in London, Austin, Boston, Shanghai, Beijing, Taipei, Tokyo and the Isle of Man.
Public cache only — not an employee review.
Canonical is hiring a remote Product Manager – AI to shape the future of open source artificial intelligence for enterprises across the United States. If you pair a software engineering foundation with a drive to translate technical vision into market-leading products, this is your opportunity to help define how the world deploys open source AI. About the Role As a Product Manager – AI at Canonical, you will own the strategic direction of open source AI and machine learning products built on Ubuntu. This is a leadership track for technologists who want to grow into business executives and entrepreneurs while advancing the open source community. You will set a clear product vision, prioritise ruthlessly, and guide cross-functional teams to ship high-quality solutions that satisfy both user needs and commercial objectives. During interviews, we will match your interests to a specific product, which may span AI/ML and MLOps domains such as model lifecycle management, AIOps automation, Kubeflow, MLflow, KServe, and AI infrastructure spanning cloud and edge. Key Responsibilities Drive the full product lifecycle from concept to delivery, continually revisiting goals and priorities. Partner closely with engineering, design, marketing, and sales to align decisions and keep execution on track. Run market research, study industry trends, and collect customer feedback to surface new opportunities. Communicate vision, progress, and key decisions clearly to maintain alignment and set expectations. Lead usability testing, interpret user feedback, and iterate to sharpen the user experience. Shape go-to-market strategies, author product documentation, and equip support teams through training. Support sales in winning new business by joining customer meetings and acting on their feedback. Oversee an entire product line, ensuring consistent strategy and resolving conflicts across teams. Qualifications Outstanding academic achievement at both secondary school and university level. Working knowledge of Linux and the broader open source software ecosystem. Familiarity with computer architecture, application development, datacenters, cloud, or device technologies. Strong leadership, communication, and technical vision with a passion for product strategy. About Canonical Canonical is a leading provider of open source software and the publisher of Ubuntu, the platform powering public cloud, data science, AI, engineering, and IoT initiatives…
Generated for personal interview prep · 2026-07-15 UTC · getajob.ai