Team Lead, Account Engineer

Snowflake · Melbourne, Victoria 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. The Account Engineer is a high-impact, cross-functional role designed to accelerate the customer journey from initial acquisition to successful platform adoption and expansion on the Snowflake AI Data Cloud. As a Team Lead, Account Engineering, you will lead a group of account engineers who partner with Snowflake's enterprise customers to drive successful adoption and growth of the Snowflake AI Data Cloud. Responsibilities: Act as a player/coach and lead a team of account engineers who guide enterprise customers through architecture, adoption, and expansion of the Snowflake AI Data Cloud. Manage a portfolio of new and early-stage customers, and be responsible for accelerating their time-to-value and achieving sustained platform growth. Partner with regional leadership on sales strategy, partnerships and initiatives to ensure quota targets and goals are met. Build repeatable playbooks, runbooks, and reference architectures so the team scales its impact across accounts and regions. Collaborate and maintain a close working relationship with product, engineering, sales, marketing, partnerships, and services teams. Play an active role in sourcing and screening potential candidates and managing the interview process. Lead scalable programs to educate a wide audience on specific platform features and industry best practices. Leverage your AI and data analytics skills to find patterns and opportunities to up-level the team, improve customer experience, and deliver successful outcomes for customers. Requirements: 8+ years of experience in customer-facing technical roles such as solutions engineering, technical account management, or cloud data engineering. Hands-on expertise with any leading cloud data platforms, and the ability to architect solutions for agentic enterprises. Experience managing enterprise escalations and communicating technical risk clearly to executives and customers. Experience working with modern data technology (e.g. dbt, Spark, containers, DevOps tooling, orchestration tools, Git, etc.). Excellent written and verbal communication, with the ability to translate technical details for mixed audiences. Experience building internal tooling, automation, or AI-assisted workflows that improve support and engineering efficiency. Nice to Have: Production experience with Snowflake or a comparable AI Data Cloud platform. Prior experience or strong interest in leveraging AI-powered development tools and coding agents to increase solution delivery efficiency. 2+ years of experience leading technical teams, with a track record of building high-performing teams.