Enterprise · Error monitoring
Currently tracking 5 active AI roles, up 50% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $125k–$300k (avg $230k).
| Title | Stage | AI score |
|---|---|---|
| Senior Software Engineer, AI 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. | Agent | 8 |
| Staff Machine Learning Engineer, AI 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. | Agent | 8 |
| Staff Software Engineer, AI Developer Tooling 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. |
| Agent |
| 7 |
| Senior Technical Support Engineer 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. | Agent | 7 |
| Support Engineer This role involves supporting developers by resolving complex technical issues, acting as a bridge to Engineering, and maintaining systems. A key part of the role is to support AI-assisted workflows by auditing AI responses for accuracy, identifying hallucinations, and curating knowledge to improve the AI agent's performance. The role also requires troubleshooting SDK implementations and guiding customers through debugging workflows. | Agent | 5 |