Snowflake
AI/ML Consulting Manager
- Employment type
- Full-time
- Workplace type
- On-site
- Location
- AU-Sydney
- Published
- Oct 23, 2026
- Last checked
- Oct 26, 2026
About this role
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We are hiring an AI/ML Consulting Manager for our Frontier Engineering team in Australia and New Zealand. Our team within Frontier Engineering helps customers take agents, machine learning models, and full stack applications from ideation to production and beyond, using Snowflake and its partner ecosystem. You will lead a team of technical architects and oversee partner resources delivering projects on Snowflake's behalf, helping both groups translate customer priorities into effective technical solutions and successful delivery.
This is a customer-facing leadership role with a utilisation target, primarily fulfilled through technical leadership and project oversight. You will guide architecture decisions, assess delivery quality, and help teams resolve complex challenges. You are not expected to be the primary hands-on builder, but you will bring the technical depth to challenge designs, review implementation approaches, and guide others toward the right outcomes.
AS AN AI/ML CONSULTING MANAGER AT SNOWFLAKE, YOU WILL:
- Lead, coach, and develop a team of technical architects across ANZ, setting clear expectations, supporting career growth, providing performance feedback, and building a collaborative team that shares expertise.