Engineering Manager - Cost Intelligence

Role Summary

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.

AS MANAGER FOR THE COST INTELLIGENCE TEAM, YOU WILL

• Lead and grow our talented team of software engineers, fostering a culture of technical excellence, ownership, and continuous learning.
• Drive the roadmap for Cost Intelligence features — including cost allocation, resource budgeting, anomaly detection, and optimization recommendations — in partnership with product management.
• Set technical strategy for backend systems, data pipelines, and APIs that surface cost and usage insights to customers at massive scale.
• Own delivery end-to-end: from planning and scoping to design reviews, execution, launch, and iteration based on customer feedback.
• Partner cross-functionally with other engineering and cross functional teams to ensure smooth integrations and end customer success.
• Represent your team in broader technical discussions, contributing to Snowflake engineering-wide initiatives and best practices.

Responsibilities

• 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 http://careers.snowflake.com

Requirements

We are looking for candidates with

• 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.

About the Company

ABOUT THE AI PRODUCTS TEAM

The AI Products team is part of the broader Marketplace & Collaboration organization and is focused on bringing AI products on top of Snowflake’s data and application platform to help customers discover, share, monetize, and act on data assets & applications more easily.

This team is building the connective tissue of the agentic enterprise: the infrastructure and product surfaces that allow Snowflake customers to seamlessly share datasets, semantic views, and applications, and make them discoverable and executable through Cortex Code, CoWork, and other agentic harnesses.

Our strategy is centered on evolving Snowflake Marketplace for the AI era, including packaging data and intelligence into ready-to-use agentic experiences, and enabling governed access patterns that let AI systems safely operate on enterprise data and applications.

AS A STAFF SOFTWARE ENGINEER ON AI PRODUCTS, YOU WILL

WHY JOIN THIS TEAM

This is a chance to shape how Snowflake customers expose data and applications to AI systems in a secure, governed, and highly usable way. The work sits at the intersection of platform engineering, product innovation, and AI transformation, and it directly influences how the Data Cloud evolves for the next generation of customers and builders.