At a Glance
- Tasks: Drive localisation strategies and optimise AI translation processes across 100+ languages.
- Company: Join Canva, a leading design platform with a vibrant London HQ.
- Benefits: Equity packages, flexible leave, and a supportive parental leave policy.
- Other info: Enjoy a collaborative culture with opportunities for personal and professional growth.
- Why this job: Be part of a dynamic team shaping the future of design and localisation.
- Qualifications: Expertise in localisation frameworks and machine learning techniques required.
The predicted salary is between 60000 - 80000 £ per year.
Join the team redefining how the world experiences design.
Where and how you can work:
The buzzing Canva London campus features several buildings around beautiful leafy Hoxton Square in Shoreditch. While our global headquarters is in Sydney, Australia, London is our HQ for Europe, with all kinds of teams based here, plus event spaces to gather our team and communities. You’ll experience a warm welcome from our Vibe team at front of house, amazing home cooked food from our Head Chef and a variety of workspaces to hang out with your team mates or get solo work done. That said, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals and so you have choice in where and how you work.
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.
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.
What’s in it for you?
- Equity packages – we want our success to be yours too.
- Inclusive parental leave policy that supports all parents & carers.
- Annual Vibe & Thrive allowance to support wellbeing, social connection, office setup & more.
- Flexible leave options that let you recharge or take time to give back.
AI Technical Program Manager (Localisation) - 12 month FTC employer: black.ai
Canva is an exceptional employer that fosters a vibrant and inclusive work culture in its London campus, where creativity thrives amidst beautiful surroundings. Employees enjoy a range of benefits including equity packages, flexible leave options, and a supportive parental leave policy, all while having the autonomy to choose their work environment. With ample opportunities for professional growth and collaboration across diverse teams, Canva empowers its Canvanauts to innovate and make a meaningful impact in the world of design.
StudySmarter Expert Advice🤫
We think this is how you could land AI Technical Program Manager (Localisation) - 12 month FTC
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We think you need these skills to ace AI Technical Program Manager (Localisation) - 12 month FTC
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at black.ai, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to black.ai, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab black.ai’s attention and show the tangible impact of your work.
How to prepare for a job interview at black.ai
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at black.ai.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
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Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at black.ai.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at black.ai.