
51 - 200 employees
Founded 2016
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
SaaS • Enterprise • Artificial Intelligence
Honeycomb. io is an observability platform designed to provide comprehensive insights into application performance. It unifies logs, metrics, and traces into a single data type, allowing engineers to quickly diagnose and resolve issues. Honeycomb. io offers features like distributed tracing, anomaly detection, and service maps to help teams enhance system visibility and operational efficiency. It integrates with popular cloud services like Amazon Web Services and Kubernetes, and supports technologies such as OpenTelemetry. Honeycomb. io aims to enable engineering teams to deploy confidently, reduce incident response times, and improve overall productivity.
🔥 4 minutes ago
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51 - 200 employees
Founded 2016
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
SaaS • Enterprise • Artificial Intelligence
Honeycomb. io is an observability platform designed to provide comprehensive insights into application performance. It unifies logs, metrics, and traces into a single data type, allowing engineers to quickly diagnose and resolve issues. Honeycomb. io offers features like distributed tracing, anomaly detection, and service maps to help teams enhance system visibility and operational efficiency. It integrates with popular cloud services like Amazon Web Services and Kubernetes, and supports technologies such as OpenTelemetry. Honeycomb. io aims to enable engineering teams to deploy confidently, reduce incident response times, and improve overall productivity.
• Design and deliver production-grade agents that investigate, reason, and act on live observability data inside Canvas • Take agents from rough first versions through production deployment and traffic • Scope, build, ship, and maintain agents and their evaluations • Contribute to full-stack development • Use Honeycomb’s high-cardinality data store to build agents capable of cross-service correlation, trace investigation, and deployment comparisons • Extend Canvas, the MCP server, and Canvas Skills with memory, spatial awareness, and improved Bedrock-loop performance • Define measurable, maintainable agent quality standards and communicate their limitations • Explore projects such as collaborative agents, automatic SLO-burn investigations, and domain-specific skills
• Experience shipping LLM-based systems relied on in production • Knowledge of agent system failure modes and how to design around them • Ability to take work from rough prototype to production-grade independently • Informed opinions about changes in agent design over the last six to twelve months • Understanding of agent architecture and how fast, high-cardinality data stores affect agent reasoning • Product judgment demonstrated through prototypes • Observability or developer-tools background is advantageous • Familiarity with eval frameworks, agent tooling, RAG, and prompt engineering is advantageous • Must verify identity and eligibility to work • Honeycomb cannot currently sponsor or support visa transfers
• Generous equity with employee-friendly stock program • Transparent pay based on levels relative to experience • Unlimited PTO • Distributed-first mindset and culture • Home office, co-working, and internet stipend • Full benefits coverage for employees, with additional coverage available for dependents • Up to 16 weeks of paid parental leave, regardless of path to parenthood • Annual development allowance • Reasonable accommodations throughout the hiring process
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