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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
Web
Task
agent monitoring

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

Developer
Free Plan

10K events per month

Up to 5 users

30d data retention

Unlimited indexed metrics

Full evaluation, observability, and prompt management suite

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

Job Opportunities

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HoneyHive

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.

engineeringonsiteNew York, USfull-time

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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