HoneyHive
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About
HoneyHive is a comprehensive platform designed for modern AI observability and evaluation. It provides a single solution for teams to test, debug, monitor, and optimize their AI agents, from initial development to scaling in production. Key features include Experiments for systematically measuring AI quality with evaluations using LLMs, code, or human review; Distributed Tracing for instant end-to-end visibility and faster debugging; and Production Monitoring to continuously track performance, cost, latency, and quality metrics at every step. The platform also offers Artifact Management, enabling domain experts and engineers to centrally manage prompts, tools, datasets, and evaluators in the cloud, with UI and code synchronization. It supports an open ecosystem, compatible with any model, framework, and cloud, partnering with leading AI teams from startups to Fortune 100 enterprises.
Platform
Task
Features
• artifact management synced between ui & code
• human review for ai agent responses
• ai agent playground
• ai agent experimentation platform
• centralized management of prompts, tools, and datasets
• continuous performance and quality monitoring
• end-to-end visibility and debugging with distributed tracing
• systematic ai quality measurement with evaluations
Pricing Plans
Enterprise
Unknown Price• Custom usage limits
• Unlimited users
• Multi-tenant SaaS, dedicated cloud, or self-hosting in VPC
• SSO & SAML
• Dedicated support, SLA, and security reviews
Developer
Free Plan• 10K events per month
• Up to 5 users
• 30d data retention
• Unlimited indexed metrics
• Full evaluation, observability, and prompt management suite
Job Opportunities
Member of Technical Staff, Platform
HoneyHive is a unified platform for modern AI observability and evaluation, helping teams test, debug, monitor, and optimize AI agents in production.
Benefits:
Competitive salary + meaningful equity
Health, vision, and dental benefits
Unlimited PTO
Assistance in relocating to NYC or SF
MacBook Pro + peripherals
Experience Requirements:
5+ years of full-time experience in infrastructure / platform engineering roles
Deep expertise in Kubernetes and experience managing deployments in production environments
Familiarity with event-driven architectures and message queuing systems (e.g., NATS, Kafka)
Experience with high-throughput data systems and databases like ClickHouse
Experience operating production systems in multiple cloud environments (AWS/GCP/Azure)
Responsibilities:
Own the development and optimization of our core microservices architecture running on Kubernetes
Build scalable data processing pipelines that handle large volumes of AI interaction data
Scale distributed databases like ClickHouse to enable powerful analytics capabilities
Build and automate secure customer‑VPC deployments across AWS, Azure, and GCP
Collaborate with the founding team to shape our technical architecture and product roadmap
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