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Honeycomb.io

Staff Product Manager

Honeycomb.io

. Own product management for Honeycomb's Canvas and Agentic AI teams .

Posted 10/23/2026full-timeRemote • United StatesLead💰 $198,500 - $233,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in product management for AI/ML-powered products, with a strong ability to synthesize customer needs, technical trends, and AI strategies into actionable roadmaps. Possesses deep understanding of observability principles and the ability to influence cross-functional teams effectively.

Highest-signal resume keywords
Product ManagementAI/ML Product DevelopmentObservability PrinciplesStrategic SynthesisTechnical Communication

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI Product StrategyNatural-Language QueryingVisualization SkillsAuto-InvestigationsAI Adoption ResearchAI/ML TechniquesTrade-Off EvaluationModel SelectionRAG EvaluationCustomer Impact Analysis
Soft Skills
Collaborative MindsetCuriosityIntellectual HumilityStrong JudgmentComfort with Ambiguity
Industry Keywords
AI ObservabilityCustomer Feedback SynthesisTechnical Community EngagementEngineering CollaborationMarket Needs Identification

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • 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