At a Glance
- Tasks: Lead product strategy for AI and cloud technologies in an open source environment.
- Company: Join a leading open source software provider at the forefront of innovation.
- Benefits: Remote work flexibility, occasional travel, and opportunities for professional growth.
- Why this job: Shape the future of technology while working with cutting-edge AI solutions.
- Qualifications: Strong understanding of Linux and experience in managing product lifecycles.
- Other info: Collaborative team culture with a focus on strategic vision.
The predicted salary is between 28800 - 48000 Β£ per year.
A leading open source software provider is seeking a Product Manager - Data. This role involves leading product strategy for various domains including AI and cloud technologies.
The ideal candidate will have a strong understanding of Linux, excellent communication skills, and experience in managing product lifecycles.
The position is remote, with occasional travel for team events. Join a company at the forefront of open source innovation, blending technology with strategic vision.
Data Product Manager for Open Source AI Platform in Edinburgh employer: Canonical
Contact Detail:
Canonical Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Product Manager for Open Source AI Platform in Edinburgh
β¨Tip Number 1
Network like a pro! Reach out to folks in the open source community, especially those who work with AI and cloud tech. Join relevant forums or LinkedIn groups to connect with potential colleagues and get insider info on job openings.
β¨Tip Number 2
Show off your skills! Create a portfolio that highlights your experience with product lifecycles and any projects you've managed. This is your chance to demonstrate how you can lead product strategy effectively.
β¨Tip Number 3
Prepare for interviews by brushing up on your Linux knowledge and communication skills. Be ready to discuss how you can blend technology with strategic vision, as this is key for the role of Data Product Manager.
β¨Tip Number 4
Don't forget to apply through our website! Itβs the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Product Manager for Open Source AI Platform in Edinburgh
Some tips for your application π«‘
Show Your Passion for Open Source: When writing your application, let us know why you're excited about open source software. Share any personal projects or contributions you've made to the community β it really helps us see your enthusiasm!
Tailor Your Experience: Make sure to highlight your experience with AI and cloud technologies in your application. We want to see how your background aligns with the role of Data Product Manager, so donβt hold back on those relevant skills!
Communicate Clearly: Since excellent communication is key for this role, ensure your application is well-structured and easy to read. Use clear language and avoid jargon unless it's necessary β we appreciate straightforwardness!
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, itβs super easy β just a few clicks and youβre done!
How to prepare for a job interview at Canonical
β¨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Linux and cloud technologies. Be ready to discuss how these tools can enhance product strategy, as this will show your technical prowess and understanding of the role.
β¨Showcase Your Communication Skills
Since excellent communication is key for this position, prepare examples of how you've effectively communicated complex ideas in the past. Think about times when you had to explain technical concepts to non-technical stakeholders.
β¨Understand the Product Lifecycle
Be prepared to discuss your experience managing product lifecycles. Have specific examples ready that demonstrate your ability to lead a product from conception to launch, especially in the context of AI and open source projects.
β¨Embrace the Remote Culture
As this role is remote, think about how you can contribute to a positive team culture from a distance. Share your strategies for collaboration and engagement during team events, showing that you're a team player even when working remotely.