Engineering Manager - Elements Experience

Canva · Enterprise · Melbourne, VIC, Australia · Information Technology

Engineering Manager for Canva's Elements Experience team, focusing on AI-powered content discovery and application within Canva's editor. The role involves leading a cross-functional team (frontend, backend, ML), setting technical vision, driving product development through metrics and experimentation, and ensuring operational excellence for AI-driven features.

What you'd actually do

  1. Leading our Elements Experience team, a balanced squad of frontend, backend, and ML engineers, to deliver AI-powered content features across Canva's editor, including features like style match, style filters, and other AI-powered content features across Canva surfaces
  2. Setting the technical vision for how millions of users discover, explore, and apply visual content from browsing and filtering to AI-driven style recommendations and contextual surfacing
  3. Partnering across Product, Design, and platform teams while contributing hands-on to architectural decisions and mentoring engineers through code and design reviews
  4. Using metrics and experimentation to drive decisions, defining success measures, interpreting signals from A/B tests and usage data, and building a team culture where curiosity about user behaviour shapes what gets built next
  5. Maintaining a high bar for reliability, performance, and operational health across the team's services, while driving features at the intersection of AI and UX including model-powered interactions and reward models

Skills

Required

  • Engineering leadership
  • Frontend development
  • Backend development
  • ML engineering
  • Technical vision setting
  • Architectural decision making
  • Mentoring engineers
  • Metrics and experimentation
  • Product sensibility
  • Operational excellence
  • Cross-functional partnerships

Nice to have

  • Experience leading engineers across disciplines
  • Experience developing people and building team culture
  • Curiosity about user behavior

What the JD emphasized

  • AI-powered content features
  • AI-driven style recommendations
  • model-powered interactions
  • reward models

Other signals

  • AI-powered content features
  • AI-driven style recommendations
  • model-powered interactions
  • reward models