Head of Personalisation for Content & Discovery

Responsibilities

• ● Company Description
• ● Join the team redefining how the world experiences design.
• ● Hello, g'day, mabuhay, kia ora, 你好, hallo, vítejte
• ● Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point.
• ● Where and how you can work
• ● Our flagship campus is in Sydney. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth and Adelaide. But you have choice in where and how you work, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals.
• ● Job Description
• ● What you'd be doing in this role
• ● As Canva scales, change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve.
• ● This is a rare opportunity to build the intelligence layer of a product used by over 260+ million people, working closely with senior leadership including founders, and the mandate to define what algorithmic excellence looks like for the next chapter of our growth. You will define and drive the algorithmic strategy across two of Canva's most critical surfaces: how content is created and understood, and how it is discovered and personalized for every user.
• ● At the moment, this role is focused on:
• ● Owning the end-to-end algorithmic roadmap for content intelligence and discovery, tied to Canva's product and business goals.
• ● Work with business and engineering leaders to find and prioritize the highest-impact places to apply ML and AI across content and discovery.
• ● Lead and grow a multidisciplinary team spanning ML research, engineering, data science, and product management.
• ● Drive next-generation algorithms - including LLM-powered experiences, intent inference, and real-time personalization - that change how people find and create with Canva.
• ● Turn complex algorithmic ideas into something any stakeholder can understand and get behind.
• ● You're probably a match if...
• ● We are looking for a leader who combines deep ML expertise with strong product intuition and the ability to inspire and scale high-performing teams. You have led algorithmic product areas at scale - ideally in consumer or creator-facing products - and you know what it takes to build systems that feel magical to users while being rigorous under the hood.
• ● Significant experience in a senior ML, data science, or algorithms leadership role, with a track record of shipping high-impact ML-powered features at scale.
• ● Deep technical fluency across recommendation systems, content understanding, search and retrieval, and/or personalization algorithms.