Engineering Manager - Cost Intelligence

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.

Location: Bellevue, WA

Engineering Manager, Cost Intelligence

We are looking for an experienced Engineering Manager to lead the Cost Intelligence engineering team. In this role, you will own the technical vision and execution for the features and systems that help Snowflake customers understand, monitor, and optimize their Snowflake consumption and spend. You will lead a talented team of engineers building the data products, APIs, and platform services that power cost visibility, usage analytics, budgeting, and cost optimization insights across Snowflake's platform.

You'll work closely with Product Management, Design, Data Science, and cross-functional engineering teams to ship world-class cost intelligence capabilities to Snowflake's customer base.

• 8+ years of software engineering experience, with 3+ years in an engineering management role leading teams building highly scalable, reliable, and low latency systems.

• Strong technical foundation in distributed systems, data engineering, or cloud-native backend development.

• Demonstrated ability to define and execute multi-quarter technical roadmaps while balancing short-term delivery and long-term platform health.

• Experience building cost management, budgeting, billing or FinOps tooling in a cloud environment (AWS, Azure, or GCP).

• Experience with anomaly detection, time-series analysis, or ML-driven cost optimization products.

• Excellent communication skills: able to distill complex technical problems for executive audiences and motivate engineers around a shared vision.

• Track record of hiring, growing, and retaining strong engineering talent.

• Strong hands-on skills. Can drill deep into complex system designs and implementation.

• BS/MS/PhD in Computer Science or related field, or equivalent experience.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com