About the Team

Canva's International Supergroup is responsible for driving growth and deepening adoption across our key regions worldwide. We are an entrepreneurial, cross-functional team that turns bold strategy into culturally resonant execution. In each country, our mission is to empower all users to design and to make Canva one of the most beloved and culturally iconic brands in the country.

About the Role

This is a senior specialist role within the Localisation Group where you will be partnering with country teams, product teams, and AI/ML stakeholders to build the technical infrastructure for LOTE at Canva as well as robust processes to make sure Canva is LOTE-ready from the get go. You'll drive the design and execution of evaluation frameworks, promote innovation across the team and automate systems that improve the quality, speed, and scalability of localisation across all markets. This is a hands-on, high-autonomy role for someone who loves building things that didn't exist before and has a knack for spinning multiple plates at once. You thrive in an environment where priorities shift, initiatives stack up, and no two weeks look the same. You'll be working at the intersection of LLMs and multilingual quality at scale figuring out how to evaluate AI translation across 100+ languages where human baselines are sparse, automating quality signals into CI/CD-style workflows, and ensuring AI translation is good enough to ship. This is a 12 month fixed term contract.

What you'll do

• Partner with product, engineering, and machine learning teams to embed localisation quality signals earlier in the development cycle
• Establish and maintain documentation on localisation AI tooling, prompt libraries, and evaluation methodologies
• Lead the refinement of our AI translation pipeline, driving optimisation through prompt engineering and rigorous evaluation processes while determining the optimal balance between AI automation and human translation workflows.
• Contribute to the overall localisation strategy by surfacing data-driven insights from evaluations and automation systems
• Establish processes with country teams to propagate learnings across all regions and optimise operations
• Create and iterate on team strategy, clearly communicating how that strategy rolls up into larger organisational goals and responding quickly to shifts in priorities and timelines
• Build trust and collaborative culture with country teams and product teams within Canva and shape prioritisation

What we're looking for

• You have deep expertise in localisation frameworks and technologies including LLM evals for translation (GPT-4, Claude, Gemini, open-source models like LLaMA)
• You are familiar with machine learning techniques (e.g. RAG, LoRA) and translation quality evaluation metrics (e.g. BLEU, COMET)
• You have a builder's mindset, meaning you're comfortable vibe coding scripts and generally just having a go at new things
• You love taking things from chaos to clarity and you have the drive to see things through despite changes and setbacks
• You understand how user experience impacts growth and you can connect the user journey to opportunities turning localisation initiatives into measurable signals
• You are passionate about optimising LOTE user experience and you can create culturally grounded eval frameworks
• You can document complex systems simply and clearly for broader audiences
• Speaking multiple languages is a huge bonus

Also, we'd love it if you had...

• Experience with Smartling or other CAT tools
• An understanding of product growth
• Some proficiency with SQL/data analysis
• A tertiary education in linguistics, languages, or localisation

Other stuff to know

We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don't feel like your skills quite match what's listed above - we still want to hear from you! Please note that interviews are conducted virtually.