Team Lead, Account Engineer

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.