Engineering Manager, Release Validation
Snowflake · US-WA-Bellevue · US-CA-Menlo Park
Big Tech AIonsitemanager$236k–$339k
At a glance
Highlights
- Lead validation platform making continuous deployment safe and cost-efficient.
- Build AI-driven failure analysis to remove manual work for engineers.
- Give Snowflake confidence to ship fast without compromising reliability.
Ideal candidate
Data-driven engineering leader who thrives in fast-moving environments and cares deeply about developer productivity and reliability. You combine low-ego collaboration with AI-native curiosity to scale validation for an agentic enterprise.
Requirements
- 3-5 years of experience hiring, coaching, and developing engineers at different career stages
- Experience building and running large-scale CI/CD, test infrastructure, or developer productivity platforms, ideally for complex distributed systems
- Strong technical background with depth to review designs, make architecture tradeoffs, and earn respect of senior engineers
- Solid grasp of test strategy: regression vs. workload testing, hermeticity, flakiness, coverage tradeoffs, and release gating
- Experience driving work across many teams and influencing without authority
- Data-driven leadership style with measurable goals and metrics to prioritize and show impact
- Strong communication skills explaining complex technical tradeoffs to engineers and executives
- BS/MS in Computer Science or related majors, or equivalent experience
Lab profile
About Snowflake
Cloud data platform for storage, analytics, data sharing, and enterprise AI workloads.
What they build
- Snowflake Data Cloud
- Data warehousing and data lakes
- Snowpark developer framework
Known for
- Elastic scalable cloud architecture
- Secure governance and data sharing
- Multi-cloud analytics and AI
Key facts
- Founded in 2012
- Headquartered in Bozeman, Montana
- Public company (NYSE: SNOW)
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