Engineering Manager, Machine Learning
Sentry · Engineering
- Location
- San Francisco, California, United States · Remote
- Metro
- San Francisco Bay Area
- Workplace
- Hybrid
- Level
- Senior
- Type
- Full-time
- Pay
- $220K–$450K/yr (published by employer)
- Posted
- 5 months ago
- Source
- Ashby
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What the posting covers
About Sentry
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s…
About the role
AI and machine learning are reshaping how developers debug, monitor, and ship software, and Sentry is uniquely positioned to lead that shift. We sit on a novel and massive dataset of real production errors, spans, and logs from tens of thousands of…
In this role you will
Set technical direction across the team's full ML surface area — from classical models for clustering, ranking, and anomaly detection to LLM-based and agentic systems — and make sharp calls about which approach fits each problem Define how the team evaluates…
You'll love this role if you
Have a strong ML engineering background that you use to inform and validate the team's technical decisions, and you're comfortable staying close to the code Are excited to shape how AI and developer tools come together, and want to define how engineers and…
Qualifications
8+ years of professional engineering experience, with significant time spent building and shipping machine learning systems in production 3+ years of engineering management experience, ideally leading ML, AI, or data-focused teams Familiarity with deploying…
Excerpts only. The employer’s page has the complete posting.