Honeycomb
Honeycomb is seeking an AI Agent Engineer to design and deliver production-grade agents that investigate, reason, and act on real observability data within their Canvas workspace. The role involves taking prototypes from rough first versions to production-grade solutions, owning the full agent lifecycle, and extending the product's capabilities to leverage Honeycomb's high-cardinality data store. This position requires deep expertise in agent architecture and a strong product judgment to distinguish meaningful innovations from industry hype.
Headquarters
San Francisco, California, United States
Company Size
51-200 employees
Founded
2016
Honeycomb is an observability platform for distributed services that gives engineering teams the context, speed, and scale they need to build and run cloud‑native and AI‑era software. It ingests high‑cardinality traces, metrics, and event data and exposes fast ad‑hoc querying, visualization, and debugging tools to accelerate root‑cause analysis and reduce MTTR. Honeycomb is available as a hosted service and private‑cloud option and includes capabilities like revamped metrics and Canvas for building dashboards and investigative workflows, aimed at SREs and developers working with microservices, serverless, and complex distributed systems.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Honeycomb.
Honeycomb Raises $50 Million in Series D
Apr 7, 2023