Audit Manager Jobs in New Zealand

About Shopify
Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to over 8,300 employees and generated over $1 trillion in sales for millions of merchants in 175 countries.

This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

About you
Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

Before you apply, consider if you can:

• Care deeply about what you do and about making commerce better for everyone
• Excel by seeking professional and personal hypergrowth
• Keep up with an unrelenting pace (the week, not the quarter)
• Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
• Bring critical thought and opinion
• Embrace differences and disagreement to get shit done and move forward
• Work digital-first for your daily work

About the role
Welcome to the engine room. Machine Learning Managers at Shopify drive impact by leading teams that build and fine-tune ML models to solve complex problems. This role involves making strategic decisions that influence millions of users daily, whether it's fraud detection, revenue predictions, or product recommendations. We’re all in on AI, and the possibilities for good are endless. Why you’ll love working at Shopify

• Lead elite ML teams. Guide world-class ML engineers who are focused on building the future.
• Agency at the helm of the rocketship. Make key decisions on how our ML models are developed, impacting millions of daily users.
• Drive strategic ML projects. Oversee the development of ML initiatives — balance ruthless prioritization and making the right tradeoffs.
• Cultivate technical excellence. Foster a culture of innovation, collaboration, and continuous improvement within your team.