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Ubuntu Pro Sales Engineer
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Job Description
Ubuntu Pro Sales Engineer | Canonical
The Tone:
This is a full-time role at Canonical, located remotely. Canonical is a pioneering tech firm that publishes Ubuntu, a foundational open-source project and platform for AI, IoT, and the cloud. This role is crucial for helping global companies embrace the latest Linux and open-source applications by applying expert insights to solve customer problems and drive the enterprise adoption of Ubuntu Pro.
The TL;DR
• Role: Full Time
• Location: Remote
• Team: Global Field Engineering team, working closely with enterprise sales leads.
• Mission: Facilitate and drive the adoption of Ubuntu Pro within the large Ubuntu enterprise user base.
• Tech Stack: Ubuntu Pro, OpenStack, Canonical Microcloud, Kubernetes, Linux, virtualisation, containers, networking, AWS, Azure, GCP, Python.
What You’ll Actually Do
• Requirement Collection: Collect customer business requirements and advise them on Ubuntu and relevant open source applications.
• Challenge Identification: Identify customer challenges with open source and articulate how Ubuntu Pro could help solve them.
• Product Presentation: Deliver presentations and demonstrations of Ubuntu Pro to prospective and current clients.
• Product Feedback: Liaise with product teams to give them feedback on requirements to influence the roadmap.
• Sales Collaboration: Work collaboratively with your sales team to reach common targets.
The Must-Haves
• Background: Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path. Suited for business-minded software engineers who enjoy customer conversations.
• Experience: Practical knowledge of Linux, virtualisation, containers, and networking. Experience with Linux (Debian or Ubuntu preferred).
• Skills: Intermediate Python programming skills, knowledge of cloud computing concepts and leaders (Kubernetes, AWS, Azure, GCP), professional written and spoken English with excellent presentation skills.
• Bonus: Interest in large-scale enterprise open source (private clouds, machine learning, AI, data, and analytics), passion for technology evidenced by personal projects and initiatives, demonstrated personal interest in continuous learning and development.
