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Canva
✓ Verified SponsorHead of Personalisation for Content & Discovery
ICT
Company shared salary
NA
Market rate
A$16,667–A$25,000/mo (A$200,004–A$300,000/yr)
Based on similar roles (title + domain + location).
About the Company
Join the team redefining how the world experiences design. Our flagship campus is in Sydney. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth and Adelaide.
Responsibilities
- ● Own 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.
Requirements
- ● Combine deep ML expertise with strong product intuition and the ability to inspire and scale high-performing teams.
- ● Have led algorithmic product areas at scale - ideally in consumer or creator-facing products - and know what it takes to build systems that feel magical to users while being rigorous under the hood.
- ● Have 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.
- ● Have deep technical fluency across recommendation systems, content understanding, search and retrieval, and/or personalization algorithms.
- ● Have demonstrated ability to lead and grow multidisciplinary teams spanning ML, engineering, data science, and product management.
- ● Have strong product sense - able to move between model architecture discussions and user experience strategy without losing altitude.
- ● Have exceptional communication skills, with the ability to influence executive stakeholders and distill complex algorithmic tradeoffs into clear strategic decisions.
- ● Have a postgraduate degree (MS or PhD) in an applied quantitative field such as Machine Learning, Computer Science, Statistics, Operations Research or a related discipline.
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