Canva’s Commitment and Mission
Ngā Manawanuitanga me ngā uaratanga o Canva
At Canva, we celebrate diversity. We deeply believe that bringing together diversity of thoughts, perspectives and expression is key to building the best product, team and company. We look for many different skills and abilities, as well as how you can enhance Canva and our culture. So, even if you don’t think you quite meet all of the skills listed or tick all the boxes, we’d still love to hear from you!
Our mission at Canva is to empower the world to design and since launching in 2013, we have grown exponentially, amassing over 86 million monthly active users across 190 different countries and a team of over 3,000 people… and the best bit is that we’ve only achieved 1% of what we know we’re capable of.
Join us and design your future.
Product Management @ Canva
The mission of Product Managers at Canva is to create the most accessible design tool for every person in the world. We believe that we can improve the world by empowering everyone to design and communicate visually. As a Product Manager at Canva you help set this vision, define what that future looks like, and build the products and features that get us there.
As the Product Manager for Data Smarts Platform, you’ll be building the ML and Smarts platforms that will unleash the next wave of Canva’s growth. You’ll have a platform mindset, a data-first approach, experience in strategy and growth, a diplomatic and collaborative way of working, and a crystal-clear communication style.
About the Data Group
The Data Platform is foundational to how Canva teams delight our users and grow our business in order to maintain our market-leading position. The high-performance team behind Data Platform are passionate about building data infrastructure and platform services that all Canva teams use to make smart decisions and improve the user experience. Some of these platform services are powered by Machine Learning. Every Canva user experiences a part of the product that is powered by ML. Our users love these data-powered experiences, and our internal teams use ML to increase the pace and impact of their work. Now we’re trying to scale to the next level.
What you’ll do