Enterprise · Observability (OTel)
Currently tracking 1 active AI role, down 53% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $159k–$234k (avg $195k).
Honeycomb currently has 1 active AI-related role in our index. The most common open titles are: Senior Engineering Manager - Enablement. Most positions are in Engineering.
Honeycomb's active AI hiring is concentrated in: agents (100%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Honeycomb is hiring AI talent in: United States (1 role).
In the past 30 days, Honeycomb has posted 1 new AI-related role.
| Title | Stage | AI score |
|---|---|---|
| Senior Engineering Manager - Enablement Senior Engineering Manager to lead the Engineering Enablement team, focusing on equipping Honeycomb to innovate quickly and safely. This includes owning developer feedback loops (CI/CD, testing, tooling) and leading the incubation of AI-assisted engineering, particularly with the 'Autobots' platform of autonomous agents. The role requires experience in leading enablement teams, understanding AI tooling, and driving organizational change, with a focus on measuring developer productivity and satisfaction. | Agent | 7 |
| Senior Solution Architect This role is for a Senior Solution Architect at Honeycomb, a company focused on observability tools. The primary responsibility is to drive technical sales motions for mid-market to enterprise accounts, leading discovery, solution design, and technical conversations. The role involves defining success criteria, running POCs, and engaging with engineering leaders on observability best practices and AI-era workflows. While the role mentions leveraging AI tools and AI-assisted workflows, the core function is solution architecture and technical sales, not direct AI/ML model development or research. The company is in the enterprise software space, and the role focuses on how their observability platform integrates with and supports modern engineering practices, including those involving AI. |
| — |
| 5 |
| Senior Software Engineer I - App Observability Senior Software Engineer I on the App O11y team focused on delivering core observability capabilities including querying, metrics, anomaly detection, and high-level analysis. The role involves designing, building, and maintaining backend systems and APIs in Go, as well as contributing to full-stack product features using React/TypeScript. Responsibilities include technical leadership, cross-disciplinary collaboration, and supporting software in production. The company is exploring AI-assisted development tools. | — | 0 |
| Senior Software Engineer I - App Observability Senior Software Engineer I on the App O11y team at Honeycomb, focusing on core observability capabilities. The role involves designing, building, and delivering backend systems and APIs in Go, as well as contributing to full-stack product features using React/TypeScript. Responsibilities include technical leadership, cross-disciplinary collaboration, and supporting software in production. The company is exploring AI-assisted development tools. | — | 0 |