Honeycomb is the observability platform built for the new shape of software. Built on a decade of distributed tracing leadership and deep roots in the OpenTelemetry community, Honeycomb gives engineering teams—and the AI agents now operating alongside them—real-time, high-cardinality answers about any production system, with no pre-aggregation and no cardinality limits.
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Honeycomb is the observability platform built for the new shape of software.
Full company description
Honeycomb is the observability platform built for the new shape of software. Built on a decade of distributed tracing leadership and deep roots in the OpenTelemetry community, Honeycomb gives engineering teams—and the AI agents now operating alongside them—real-time, high-cardinality answers about any production system, with no pre-aggregation and no cardinality limits.
LinkedIn followers
27,723
People associated on LinkedIn
305
Reported office locations
548 Market St, #24362, San Francisco, California 94104, US
Business categories
Consumer
Software Engineering
Media and Entertainment
Data Visualization
Information Technology
Social Media
Software
Developer Tools
Cloud Data Services
DevOps
Family
Other recorded names
Honeycomb.io
honeycomb.io
Specialties
devops
site reliability engineering
observability
microservices
logging
distributed systems
debugging
high-cardinality
instrumentation
AI observability
agent observability
and LLM observability
Profile identifies a recruitment agency
No
Reported total investment
146,900,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
2+ YOECandidates need 2 to 5 years of product marketing or a closely related go-to-market role, ideally in B2B SaaS. They must write clearly about technical products, manage projects across teams without formal authority and show they have used AI tooling in their work.
5+ YOECandidates need 5+ years in product management, including at least 1 year shipping AI/ML products. They need a clear grasp of how engineering teams build and run AI systems, enough technical depth to earn engineers' respect, and strong communication skills.
Slack, Research, ML, Leadership, Community engagement, Communication skills
3+ YOECandidates need 3+ years of software engineering experience, including shipped customer-facing SaaS features. Full-stack skills in Go or Python and TypeScript with React are required, plus hands-on use of AI tools and on-call experience.
Candidates need significant software engineering experience shipping customer-facing SaaS features end to end. Full-stack skills in Go or Python and TypeScript with React are required, plus experience working closely with product managers and designers.
Candidates need deep experience shipping production systems that non-technical people depend on, hands-on skill with modern AI stacks (LLMs, retrieval, agents, evaluation, guardrails), and comfort with security, privacy and compliance tradeoffs. Strong teaching, documentation and cross-functional leadership skills are also needed.
Data warehouse, dbt, BI tooling, CRM, ticketing systems, knowledge bases
3+ MgmtCandidates need 3+ years managing a highly technical senior team, including leading an on-call production rotation. They need experience shipping software in customer-controlled environments, enough Kubernetes and AWS knowledge to review designs, and comfort with enterprise buyers.
Candidates need technical leadership in storage and querying, strong Go programming experience, and experience with high-throughput or complex systems. Database engineering and Kubernetes are assets, along with deep debugging skills and strong collaboration.
Candidates need hands-on experience shipping LLM-based systems to production and a strong understanding of agent architecture. Strong end-to-end ownership, product judgment, and familiarity with observability or developer tools are valued.