
51 - 200 funcionários
Fundada em 2016
☁️ SaaS
🏢 Corporativo
🤖 Inteligência Artificial
SaaS • Enterprise • Artificial Intelligence
A Honeycomb. io é uma plataforma de observabilidade projetada para fornecer visibilidade de alta fidelidade em sistemas de software complexos sem incorrer em altos custos. Com recursos como análises de log, rastreamento distribuído e coleta de métricas, ela unifica todos os dados de observabilidade em uma única plataforma, tornando-os acessíveis e gerenciáveis para equipes de engenharia. A Honeycomb suporta várias integrações e enfatiza consultas rápidas e métricas personalizadas para aprimorar o ciclo de desenvolvimento de software.
🕒 Outubro 14
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $225.000 - $265.000 / ano
⏰ Tempo Integral
🟠 Sênior
⚙️ Operações
👻 Score fantasma 1%
🗣️🇺🇸🇬🇧 Inglês obrigatório
De onde vem esta vaga
Publicada na página de carreiras da Honeycomb.io, não em um site de vagas
Vista pela primeira vez pelo Remote Rocketship Outubro 14
Ainda aberta no site da Honeycomb.io. Verificada 35 minutos atrás.

51 - 200 funcionários
Fundada em 2016
☁️ SaaS
🏢 Corporativo
🤖 Inteligência Artificial
SaaS • Enterprise • Artificial Intelligence
A Honeycomb. io é uma plataforma de observabilidade projetada para fornecer visibilidade de alta fidelidade em sistemas de software complexos sem incorrer em altos custos. Com recursos como análises de log, rastreamento distribuído e coleta de métricas, ela unifica todos os dados de observabilidade em uma única plataforma, tornando-os acessíveis e gerenciáveis para equipes de engenharia. A Honeycomb suporta várias integrações e enfatiza consultas rápidas e métricas personalizadas para aprimorar o ciclo de desenvolvimento de software.
• Partner with department leaders to identify high-leverage workflows and determine where AI models help • Define success metrics such as cycle time, quality, cost, and risk; instrument and report results honestly • Deliver production systems with evaluation harnesses, human-in-the-loop review, and ongoing monitoring • Drive adoption through user research, documentation, and implementation plans • Establish patterns for model access, orchestration, agents, prompt and tool management, evaluation, logging, and cost control • Build on the Data team’s existing infrastructure • Co-own shared components with Engineering and coordinate dependencies in partner roadmaps • Create templates, playbooks, golden paths, safety checklists, and evaluation patterns • Run office hours, demos, and community-of-practice sessions • Develop AI enablement materials for GTM, operations, and leadership • Help employees develop judgment about when and how to use AI • Partner with Security, IT, and Legal on access control, data handling, vendor risk, and policy • Apply data classification standards to AI use cases and define required audit trails for sensitive data in LLM pipelines
• Deep experience shipping systems into real business workflows, owning something end to end in production that non-technical people depended on daily • Hands-on fluency with modern AI stacks: LLMs, retrieval, tool use and agents, evaluation, and guardrails • Ability to learn business functions such as support, sales, or finance well enough to improve them • Track record of leading cross-functional initiatives without formal authority • Comfort navigating security, privacy, and compliance tradeoffs, including data classification, retention, access controls, and vendor risk • Strong teaching instincts; ability to explain complex things simply and write clear documentation • Demonstrated ability to stay current as the landscape shifts and change your mind based on evidence • SQL fluency and comfort in a modern data stack (nice to have) • Experience with workflow automation or enterprise systems (nice to have) • Familiarity with observability practices for AI systems (nice to have) • Change management experience across a distributed, multi-function company (nice to have) • Interest in external evangelism (nice to have) • Must be able to 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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