AI/ML Consulting Manager

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. - Serve as a billable technical lead and delivery advisor across customer engagements, achieving a utilisation target through architecture guidance, technical reviews, project oversight, and customer advisory work. - Own successful delivery of engagements by Snowflake architects and partner resources. Partner with customers and go-to-market teams to translate customer requirements into scoped engineering work, clear priorities, delivery milestones, and measurable acceptance criteria, balancing technical trade-offs with customer outcomes. - Guide customers and delivery teams from problem definition and solution design through development, evaluation, deployment, and operational handover for AI agents and generative AI applications, including retrieval-augmented generation and integration with enterprise tools and workflows. - Build trusted customer relationships through technical credibility, clear communication, and executive presence. Coordinate across customer stakeholders, project managers, architects, and partners; manage expectations, raise schedule and reliability risks early, and act as the manager-level escalation owner, de-escalating issues and driving resolution and follow-through. - Coordinate team capacity and engagement assignments with delivery stakeholders, balancing customer commitments, technical fit, billable delivery, and time for coaching and professional development. - Review solution designs and delivery quality, including grounding, safe tool use, security, governance, evaluation, and observability. Understand technical debt, including code health, test gaps, regressions, and support burden, and guide teams in prioritising remediation alongside new capabilities, with clear ownership and customer handover. - Partner with Product Management, Engineering, and the wider