Are you applying to the internship?
Job Description
Ubuntu Pro Sales Engineer | Canonical
The Tone:
This is a full-time role at Canonical, offered remotely across EMEA, Americas, and APAC time zones. Canonical publishes Ubuntu, a foundational open source project for AI, IoT, and the cloud, serving as a leading provider of open source software and operating systems to global enterprises. This role is crucial for enabling global companies to adopt Ubuntu Pro and associated open source applications by applying expert technical insights to solve real-world customer problems during the presales cycle. You will see firsthand how Linux, and Ubuntu specifically, is driving innovation across various industries.
The TL;DR
• Role: Full Time
• Location: Remote
• Team: Global Field Engineering team, works closely with enterprise sales leads.
• Mission: Facilitate and drive the adoption of Ubuntu Pro in the very large Ubuntu enterprise user base.
• Tech Stack: Ubuntu Pro, OpenStack, Canonical Microcloud, Kubernetes, Linux (Debian, Ubuntu), virtualisation, containers, networking, AWS, Azure, GCP, Python.
What You’ll Actually Do
• Advise: Collect customer business requirements and recommend Ubuntu and relevant open source applications.
• Solve: Identify customer challenges with open source and articulate how Ubuntu Pro can help resolve them.
• Present: Deliver presentations and demonstrations of Ubuntu Pro to prospective and current clients.
• Influence: Liaise with product teams to provide feedback on requirements and influence the product roadmap.
• Collaborate: Work closely with your sales team to achieve common targets.
The Must-Haves
• Background: Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path.
• Experience: Experience with Linux (Debian or Ubuntu preferred) in a customer-facing presales context.
• Skills: Practical knowledge of Linux, virtualisation, containers, and networking; Knowledge of cloud computing concepts & leaders such as Kubernetes, AWS, Azure, GCP; Intermediate level Python programming skills.
• Bonus: Exceptional academic track record; Interest in large-scale enterprise open source, including private clouds, machine learning and AI, and data and analytics.