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Head of Personalisation for Content & DiscoveryCanva · Sydney, New South Wales, NSW, Australia
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Canva

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Head of Personalisation for Content & Discovery

✓ This company has sponsored visas before. The posting doesn't say so, but it's still worth applying.

🗓️ Posted 2026-08-18 Sydney, New South Wales, NSW, Australia Full-time Hybrid ICT
💰 Salary Not shared 📊 Market A$18,333–A$29,166/mo

About the Company

Empower the world to design. We're a global online visual communications platform on a mission to empower the world to design. Featuring a simple drag-and-drop user interface and a vast range of templates ranging from presentations, documents, websites, social media graphics, posters, apparel to videos, plus a huge library of fonts, stock photography, illustrations, video footage, and audio clips, anyone can take an idea and create something beautiful on Canva on any device, from anywhere in the world. Since our launch in 2013, we've had the crazy big goal of making design accessible to everyone. We were founded on the belief that people shouldn't need to understand complex software to unlock their creativity. We're leveling the playing field and democratizing access to design and visual communication by empowering 100% of the world to communicate in a way that was once limited to the 1%. We've always had a deeper mission surrounding Canva - which we talk about as our 'simple' two-step plan: to build one of the world's most valuable companies, and to do the most good we possibly can. We're committed to our core value of Being a Force for Good, so as the value of our company grows, so too does our ability to have a positive impact on the world. Software Development Specialties: Design, Graphic Design, Web app, Software engineering, Startup, Technology, Innovation, Publishing, product design

Responsibilities

  • ● Company Description
  • ● 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...
  • ● 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.