Data Solutions - Product Manager at Canonical

Canonical has set out to deliver a comprehensive, multi-cloud approach to data stores and analytics on Kubernetes. We want to unify the experience of operating data stores - from big data to tiny data, NoSQL and SQL, at the cache layer and the working data layer and long term archival - across every cloud and of course on premise. Whether you are interested in a high-availability SQL server, or a dev-and-test NoSQL cluster, or a giant Cassandra, or a laptop Redis, or a corporate data lake, we want you to turn to Canonical first.

This role is for a product manager with a passion for quality, enterprise reliability, data stores and analytics, and an understanding of Kubernetes, to drive part of that portfolio of solutions. Whether your interest is Spark or Postgres, Mongo or Scylla, or anything in between, if you want to revolutionise the world of enterprise data for giant orgs and scientists and startups, this is the team to be on.

This role is about:

• shaping data lake and big data analytics offerings from Canonical
• prioritising NoSQL technologies for integration into the solution stack
• building a multi-cloud, multi-substrate narrative
• understanding long term costs of ownership, and designing for efficiency
• thinking about analytics on public cloud, private cloud and edge
• delivering the best open source data and analytics solution portfolio
• driving commercial success and leading product direction

If you have a passion for technology and business, an appreciation for open source, and good communications skills, then you will enjoy a product leadership role at Canonical.

This role encompasses leadership of the product and go-to-market in the data lake, big data, NoSQL, SQL, KVS, cache, machine learning and analytics sectors. It requires a data-oriented (!) storyteller with a strong sense of message. We prefer graduate professionals with software engineering management experience who want to become business executives and entrepreneurs, to define product strategy and drive engagement.

The successful candidate will be multi-talented, with:

• Experience in big data, analytics, and databases
• Experience in Kubernetes with insights into devsecops
• Familiarity with relevant software and standards
• A technical or science background and qualifications
• Software engineering experience
• Business and commercial interests
• Proven leadership and presentation skills
• Personal interests aligned with the field
• Awareness of Ubuntu and Canonical’s competition and opportunities
• Track record of data-driven decision-making
• Proven ability to write about technology and the tech landscape