Engineering Manager - Cost Intelligence
Primary stack
Nice to have's
Job description
About the Position
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
Responsibilities
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.
Requirements
- 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.
We Offer
- Compensation Range: $236K - $339.2K
About the Company
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
© Snowflake. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Cloud Computing,Data Management,Artificial Intelligence
About the Company Snowflake is a cloud-native data platform launched in 2012 by a team of data experts who identified limitations in traditional databases. The company has a strong presence in Poland, with a technical hub in Warsaw. Snowflake offers an international work environment with opportunities for skill development and collaboration with industry experts. Products, Services & Tech Stack Core Solutions: Data processing and management platform. Technologies & Frameworks: Specific technologies and frameworks are not detailed in the provided text. Project Scope & Target Clients Client Base: Not specified. Engineering Scale: Not specified.
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