
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.
🔥 20 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.
• Own end-to-end development of AI observability capabilities, from ingestion to in-product visualizations • Architect and evolve the data model and infrastructure for observing agents and their ecosystems across the Honeycomb product • Build systems that analyze and surface AI-specific signals, including cost, token usage, errors, and anomalies • Collaborate with product and design partners to build usable, intuitive features that unlock meaningful user workflows • Teach best practices for exploring and understanding AI system behavior across conversations and workloads • Iterate through fast feedback loops and experimentation, sharing wins and failures • Work in a small, cross-functional engineering group with a dedicated product manager and designer • Ship features customers use in production
• Significant software engineering experience with a record of shipping and owning features end to end • Experience shipping customer-facing features at a SaaS company, beyond internal tooling • Full-stack proficiency in backend development with Go and/or Python • Frontend development proficiency with TypeScript and React • Track record of working closely with product managers and designers • Regular, hands-on use of AI tools in day-to-day engineering work • Experience being on call; joining the on-call rotation after about 90 days • Track record of navigating ambiguity in a fast-moving field where requirements shift and experimentation is core • Bonus: Experience building LLM or agent-powered features in production • Bonus: Hands-on experience with observability tooling such as OpenTelemetry • 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 during the hiring process
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