
51 - 200 employés
Fondée en 2016
☁️ SaaS
🏢 Entreprise
🤖 Intelligence artificielle
SaaS • Enterprise • Artificial Intelligence
Honeycomb. io est une plateforme d'observabilité conçue pour offrir une visibilité complète des systèmes logiciels complexes sans engendrer de coûts élevés. Avec des fonctionnalités telles que l'analyse des journaux, le traçage distribué et la collecte de métriques, elle unifie toutes les données d'observabilité en une seule plateforme, les rendant accessibles et gérables pour les équipes d'ingénierie. Honeycomb prend en charge diverses intégrations et met l'accent sur des requêtes rapides et des métriques personnalisées pour améliorer le cycle de développement logiciel.
🕒 il y a 20 jours
🇺🇸 États-Unis – Télétravail
💵 $198 500 - $233 500 / an
⏰ Temps Plein
🔴 Expert
✅ Responsable Produit
👻 Score fantôme 1%
🗣️🇺🇸🇬🇧 Anglais requis
D'où vient cette offre
Publiée sur la page carrières de Honeycomb.io, pas via un site d'emploi
Repérée par Remote Rocketship il y a 20 jours
Toujours ouverte sur le site de Honeycomb.io. Vérifiée il y a 2 heures.

51 - 200 employés
Fondée en 2016
☁️ SaaS
🏢 Entreprise
🤖 Intelligence artificielle
SaaS • Enterprise • Artificial Intelligence
Honeycomb. io est une plateforme d'observabilité conçue pour offrir une visibilité complète des systèmes logiciels complexes sans engendrer de coûts élevés. Avec des fonctionnalités telles que l'analyse des journaux, le traçage distribué et la collecte de métriques, elle unifie toutes les données d'observabilité en une seule plateforme, les rendant accessibles et gérables pour les équipes d'ingénierie. Honeycomb prend en charge diverses intégrations et met l'accent sur des requêtes rapides et des métriques personnalisées pour améliorer le cycle de développement logiciel.
• Own product management for Honeycomb's Canvas and Agentic AI teams • Build Honeycomb's AI-powered investigation experience, including natural-language querying, visualization, Skills, Auto-Investigations, and a collaborative Canvas • Work in a close triad with engineering and design leads • Own the roadmap for how AI appears in Honeycomb, from the product UI to the MCP server • Partner with the Director of AI Strategy, Research & Development teams, and customer-facing teams • Define AI product strategy aligned with Honeycomb's vision • Synthesize AI trends, customer needs, and technical capabilities into strategic recommendations • Identify observability challenges created by AI adoption, including LLM drift, prompt regression, and low-context generated code • Research customer AI adoption and identify future market needs • Track AI/ML developments and translate implications for observability • Engage with technical communities, researchers, and early adopters • Partner with product teams to identify high-value AI opportunities • Guide AI approaches, trade-offs, and best practices across teams • Synthesize and share cross-portfolio learnings • Articulate Honeycomb's viewpoint on AI observability internally and externally • Help customers understand evolving observability needs as they adopt AI • Contribute to thought leadership through writing, speaking, and community engagement • Build credibility with technical audiences
• 5+ years in product management with at least 1+ year shipping AI/ML-powered products • Track record of taking AI features from concept to customer impact, including things that didn't work • Deep understanding of how engineering teams build, deploy, and operate AI systems • Familiarity with current AI/ML techniques and judgment to know when they are applicable versus overhyped • Ability to synthesize research, customer feedback, and technical trends into coherent strategy • Comfort operating with ambiguity and making decisions without perfect information • Pattern recognition across customer conversations • Strong judgment about when to say "no" or "not yet" • Technical depth sufficient to earn respect from engineers and architects • Curiosity about how things work and humility about knowledge gaps • Ability to evaluate trade-offs between RAG, fine-tuning, model selection, and other AI approaches • Understanding of observability principles and their importance in production systems • Excellent written and verbal communication • Ability to influence without authority across product, engineering, and go-to-market teams • Comfort presenting to customers, executives, and technical audiences • Collaborative mindset • Ability to stay current in fast-moving AI domains • Intellectual humility • Excitement about the intersection of AI technology and real customer problems • Eligibility to work in the United States; 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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