Python Engineering Manager, Commercial Systems

Canonical is a leading provider of open-source software and operating systems for 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 more than 80 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 Python Engineering Manager, who strives for accountability for the development of an internal product, who has high engineering quality standards, continuously develops their skills as well as skills of their direct reports, and who has the drive to deliver. This is an exciting opportunity to work with great people and exciting open-source solutions on innovative engineering solutions supporting Canonical's growth.

The Commercial Systems unit is conceived as six engineering teams that closely collaborate with other engineering and business teams at Canonical. Services designed, developed, and operated by the Commercial Systems unit are at the heart of Canonical business and Python plays an integral role in it. We are looking for software engineering managers for these teams:

The Data Governance team has a mission to enable a secure and well-governed access to comprehensive data sets originating at many internal and external data sources formed in a data mesh. The team works with well-known open-source data governance tools such as Trino and Ranger, defines and executes data governance processes, and democratizes the data at Canonical.

The Integrations team is responsible for the automation of SaaS user management and onboarding of new data sources to the data mesh. The team designs, develops, and operates a Python based solution to automate SaaS seat management and track spend across the application portfolio. Furthermore the team integrates internal and external data sources into the data mesh using open-source ETL solutions, enabling more data driven decisions in the organization.