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.
Engineering Manager, Cloud Efficiency
Snowflake runs large scale cloud infrastructure to deliver its own service — production and internal deployments, Kubernetes fleets, CI/CD, etc. Our cloud spend is in billions of dollars per year. We are looking for an experienced Engineering Manager to lead the Cloud Efficiency engineering team. In this role, you will own the technical vision and execution for building a unified, self-serve cloud efficiency platform along with AI skills and agents that makes resource usage and spend attributable and governable while driving insights and optimization of our cloud spend.
AS AN ENGINEERING MANAGER IN CLOUD EFFICIENCY, 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 Cloud Efficiency — translating company-level spend objectives into engineering systems: authoritative cost data, resource ownership registry, attribution pipelines, cost and unit economics modeling, observability, governance policies, and optimization workflows — in partnership with Product, Engineering, Finance, and Data Science.
Set technical strategy for backend systems, data pipelines, and APIs that measure, attribute and surface cost and usage insights at massive scale.
Own delivery end-to-end: from planning and scoping to design reviews, execution, launch, and iterations 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:
9+ years of software engineering experience, with 3+ years in an engineering management role leading teams in designing and building large scale systems in production.
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
Skills Required
- 9+ years of software engineering experience
- 3+ years of engineering management experience leading teams building large-scale production systems
- Strong foundation in distributed systems, data engineering, or cloud-native backend development
- Experience building cloud cost management, budgeting, billing, or FinOps tooling using AWS, Azure, or GCP
- Experience with anomaly detection, time-series analysis, or machine-learning-driven cost optimization products
- Excellent communication skills for explaining complex technical problems to executives and motivating engineering teams
- Track record of hiring, developing, and retaining strong engineering talent
- Strong hands-on skills in complex system design and implementation
- BS, MS, or PhD in Computer Science or a related field, or equivalent experience
Snowflake Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.
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Fair & Transparent Compensation — Pay is often characterized as top‑of‑market across multiple roles. The company also points to a Fair Pay Workplace certification, signaling externally reviewed pay‑equity practices.
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Equity Value & Accessibility — Equity is a meaningful part of total compensation, with new‑hire grants, refresh potential, and a discounted ESPP with a favorable lookback. Feedback suggests this ownership component materially boosts perceived total rewards.
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Leave & Time Off Breadth — Parental leave is described as up to 26 weeks paid in the U.S., paired with flexible or generous PTO and multiple leave types. Family‑building benefits and a dedicated parental‑leave hub further expand support.
Snowflake Insights
What We Do
Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.
Why Work With Us
Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.
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