Engineering Manager, Release Validation

US-WA-Bellevue · US-CA-Menlo Park · 3-5 years experience · Full-time · Posted Oct 6, 2026

At a glance

Snowflake is seeking an Engineering Manager for the Release Validation team to build test frameworks that make continuous deployment safe, cost-efficient, and agent-friendly.
The role involves leading and growing a team of engineers working on test infrastructure, automation, and developer tooling while defining multi-quarter release validation strategies.

Lead and grow the team by hiring, mentoring, and developing engineers working on test infrastructure, automation, and developer tooling.
Set strategy and roadmap by defining and driving the multi-quarter vision for release validation including faster signals, fewer blockers, better test quality, and lower cost.
Own the validation platform, being accountable for the reliability, scalability, and efficiency of distributed regression and workload test frameworks, pre-production environments, and the release validation pipeline.
Improve test health across the company by working with feature teams to reduce flaky, non-hermetic, duplicate, and low-value tests, and setting standards and incentives.
Cut down release blockers by leading efforts to improve how failures are traced to their cause, filtering out noise from infrastructure problems, and speeding up triage.
Drive AI and automation by investing in AI-driven failure analysis and automated routing that remove manual work for engineers across Snowflake.
Work across teams by acting as the main partner to Release Engineering and engineering leaders on release quality.

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.
A strong technical background with enough depth to review designs, make architecture tradeoffs, and earn the respect of senior engineers.
A solid grasp of test strategy including regression vs. workload testing, hermeticity, flakiness, coverage tradeoffs, and release gating.
Experience driving work across many teams and influencing without authority.
A data-driven leadership style with the ability to set measurable goals and use metrics to prioritize and show impact.
Strong communication skills including explaining complex technical tradeoffs to both engineers and executives.
BS/MS in Computer Science or related majors, or equivalent experience.