Description
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.
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.
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.