Engineering Manager, Machine Learning
About this role
Sentry is seeking an Engineering Manager to lead its Machine Learning Engineering team based in San Francisco, California or remotely. This full-time role suits an experienced engineering leader with a strong machine learning background who wants to guide the development of AI-native software tools.
Role Overview
The Engineering Manager, Machine Learning will lead and scale the ML team at Sentry. This position involves owning the complete machine learning surface area, ranging from traditional techniques such as clustering, ranking, anomaly detection, and embeddings to modern LLM-based and agentic architectures. The leader will partner closely with product, design, and engineering groups to determine where machine learning brings the most value and how those capabilities integrate into daily developer workflows.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Sentry provides application monitoring standards utilized by more than 200,000 organizations globally to diagnose and resolve errors before users notice. As an open-source company, Sentry champions accessibility and builds inclusive, diverse teams where members can thrive while creating developer-focused solutions.
How to Apply
Interested candidates should visit the official Sentry careers page to submit their application.
Skills and tech stack
Questions candidates ask
What is the location for the Engineering Manager, Machine Learning role?
The position is based in San Francisco, California, with remote flexibility available.
What is the salary range for this position at Sentry?
The base salary ranges from $220,000 to $450,000 per year, depending on factors such as work location, experience, and skills.
How many years of experience are required?
Candidates must have at least 8 years of professional engineering experience with machine learning systems in production, including 3 or more years in engineering management.
What technologies and models does the ML team work with?
The team handles both classical techniques like clustering, ranking, anomaly detection, and embeddings, alongside modern LLM-based and agentic systems.
What benefits are included with this role?
Successful candidates are eligible for incentive compensation, equity grants, paid time off, and group health insurance coverage.