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Snowflake

Engineering Manager - Cost Intelligence

Snowflake is hiring an Engineering Manager - Cost Intelligence for a remote role open to applicants in United States. It pays $236k-$339k a year and Level rates it ; you can apply on Snowflake.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • This is listed as a remote role.
  • The posting mentions engineering management, backend systems and data pipelines among its tools and skills.
  • Level classes it as a lead role.
  • Snowflake has 360 other open roles on Level.

AI in this role

Lead the Cost Intelligence engineering team building backend systems, APIs, and data products for customer spend analytics.

engineering-managementbackend-systemsdata-pipelinesapiscost-optimization

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

How we rate this

Engineering Manager - Cost Intelligence at Snowflake rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Engineering ManagementBackend SystemsData PipelinesAPIsCost Optimization

Questions you could be asked

  1. Tell me about a project where engineering management was part of your work. What did you do?
  2. Tell me about a project where backend systems was part of your work. What did you do?
  3. Tell me about a project where data pipelines was part of your work. What did you do?
  4. Tell me about a project where apis was part of your work. What did you do?
  5. Tell me about a project where cost optimization was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Engineering Management, Backend Systems, Data Pipelines, APIs, and Cost Optimization. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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