Sentry

Senior Software Engineer on Sentry's AI/ML team responsible for developing the platform used by debugging agents, integrating AI/ML into core products for issue triage, resolution, and predictive analytics. Leverages Sentry's dataset to build agentic AI platforms for production issues.

Staff Machine Learning Engineer on Sentry's AI/ML team responsible for developing models and agents to enhance product capabilities, focusing on issue triage, debugging, and predictive analytics using Sentry's dataset.

Staff Software Engineer to own the AI-assisted coding domain within Platform Engineering, focusing on integrating AI coding agents into Sentry's software development lifecycle. This role involves making internal systems API-ready for agents, building harness tooling and context systems for high-quality pull requests, and automating engineering tasks.

This role focuses on architecting and engineering the technical support engine by combining human expertise with autonomous agentic systems. The engineer will treat support volume as a data signal to build automated resolution paths, ensuring human engineers handle only the most complex issues. Key responsibilities include acting as a strategic consultant for enterprise customers, troubleshooting SDK implementations, and developing the logic and tooling for support agents, including "skills" for complex lookups and state-checks. The role emphasizes eliminating non-scalable effort through automation and building systems that leverage AI for autonomous resolution.

Senior Software Engineer focused on building the evaluation infrastructure for Sentry's AI/ML systems, including debugging agents and AI-powered features. The role involves designing datasets, benchmarks, and test harnesses to measure accuracy, reliability, and performance, ensuring AI systems behave correctly and safely as they scale. This includes creating evaluation frameworks, curating datasets, building metrics pipelines, and owning the evaluation lifecycle.