Additional Information
Join the team redefining how the world experiences design.
Hello, hey, 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 office is in Sydney, Australia, but we've made our way from down under, to a campus in Austin, Texas which is now home to our US operations. 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.
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.
We're looking for a data science leader who is energised by GTM problems and motivated to make Sales and CS smarter through data. You'll be at your best if you've spent time in or close to a B2B SaaS sales motion, can speak fluently about pipeline, ARR, NDR, and forecasting, and have led or coached small teams through ambiguity. The role asks you to balance strategic with hands-on. One day you're shaping the analytical narrative for an executive review, the next you're sitting next to a coachee debugging a Snowflake query at the end of the day. You'll need to be a confident communicator who can win the trust of senior commercial leaders and an empathetic coach who brings out the best in the people around you.
At the moment, this role is focused on:
You'll coach four data scientists who own the analytical backbone of Canva's B2B Sales and Customer Success teams. Everything from pipeline generation to expansion and churn risk modeling sits in your team's portfolio.
You'll set the team's priorities and roadmap in close partnership with Sales, CS, Marketing, and RevOps leaders. You'll balance the urgent against the important and push back when the team is being pulled in too many directions.
You'll lead the analytical roadmap for our biggest GTM bets. Pipe gen and full-funnel reporting. Opportunity and account health scoring. Sales forecasting. And the build-out of a product-led sales motion that turns self-serve adoption into enterprise revenue.
You'll raise the bar on craft, helping your team move beyond ad-hoc analysis into productionised models, semantic layers, and durable data products that the business reaches for again and again.
You'll champion the team's use of AI to scale impact, both automating action on the signals we already collect (think churn risk alerts, deal hygiene nudges, expansion plays) and standing up self-serve analytics surfaces so commercial leaders can get the answers they need without going through a data scientist for every question.
You'll represent the team's work to senior stakeholders, including QBRs and forecast reviews, translating complex analyses into the punchy, decision-ready narratives that leaders need.
You'll grow each of your coachees through actionable feedback, stretch opportunities, and a clear point of view on where their craft is heading next.
You're probably a match if
You bring multiple years of data science or analytics experience in a B2B SaaS, growth, or GTM context, and experience in coaching or formally leading others.
You have a strong technical foundation across SQL (Snowflake or equivalent), data modeling (dbt or equivalent), and a modern BI tool (Mode, Looker, or similar) - and you're comfortable diving in alongside your team when it matters.
You have a track record of shipping data products that materially shifted how a Sales or CS organisation operated - account or opportunity scoring, forecasting models, pipeline analytics, or health scoring are all good examples.
You communicate complex analytical concepts with clarity, translating them into business decisions for senior commercial leaders.
You're genuinely curious about how AI is reshaping data and analytics work, from agentic workflows that take action on signals to natural-language interfaces that put answers in stakeholders' hands directly.
You have a genuine coaching mindset and a real interest in growing data scientists - you understand that the people side of this role is just as important as the analytical work.
Canva · Austin