Six Figure Work

Engineering Manager - Cost Intelligence

Snowflake

Company websitesnowflake.com (Snowflake, opens in new tab)

Base salary $236,000  to $339,200

Employer-published annual base salary, USD. Advertised base range in Bellevue, WA

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  • LocationBellevue, WA
  • WorkplaceHybrid
  • Status at last checkSource accepting applications when checked
  • Last checked (27 min ago) · observed since

About this job

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.

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.

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

Source: Snowflake on Ashby · View original posting (opens in new tab)

This range next to 6 other live Snowflake roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Snowflake roles with the nearest advertised base floor
RolePublished base
Engineering Manager - Cost Intelligence (this listing)$236,000 - $339,200
Staff Software Engineer - Ingestion$236,000 - $339,200
Staff Software Engineer - Query Processing (Snowtrail)$236,000 - $339,200
Engineering Manager/Tech Lead Manager - Runtime Engineering$236,000 - $339,200
Staff Software Engineer, Snowpark Container Service$236,000 - $339,200
Engineering Manager - Snowpark$236,000 - $339,200
Engineering Manager, Bedrock$236,000 - $339,200

Same $100K to $400K scale as every card. All Snowflake roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-08-24
Where this pay comes from

Location as the employer wrote it: US-WA-Bellevue

USD 236,000 – 339,200 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.