Staff Product Manager

Honeycomb.io

. Own product management for the Canvas and Agentic AI teams building Honeycomb's AI-powered investigation experience .

Posted 10/23/2026full-timeRemote • CanadaLead💰 CA$272,739 - CA$320,829 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 capabilities, and market trends into actionable strategies. Proven track record of guiding teams on AI approaches and influencing cross-functional collaboration.

Highest-signal resume keywords

Product ManagementAI/ML Product DevelopmentObservability PrinciplesTechnical CommunicationStrategic Synthesis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML TechniquesRAGFine-TuningModel SelectionAI System DeploymentProduct RoadmappingCustomer Impact AssessmentTechnical DepthResearch SynthesisObservability Challenges

Soft Skills

Influencing Without AuthorityComfort with AmbiguityExcellent CommunicationCustomer Presentation SkillsCommunity Engagement

Industry Keywords

AI AdoptionTechnical TrendsCustomer FeedbackCross-Portfolio LearningsAI Observability

About the role

Key responsibilities & impact

Own product management for the Canvas and Agentic AI teams building Honeycomb's AI-powered investigation experience
Own the roadmap for how AI appears in Honeycomb, from product UI to MCP server
Work in a triad with engineering and design leads
Partner with the Director of AI Strategy, Research & Development teams, and customer-facing teams
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 patterns signaling future market needs
Track AI/ML developments such as RAG, fine-tuning, and agentic systems
Identify opportunities to leverage AI across the product portfolio
Guide teams on AI approaches, trade-offs, and best practices
Synthesize and share cross-portfolio learnings
Articulate Honeycomb's point of view on AI observability internally and externally
Help customers understand evolving observability needs
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 assess applicability
Ability to synthesize research, customer feedback, and technical trends into strategy
Comfort operating with ambiguity and making decisions without perfect information
Technical depth sufficient to earn respect from engineers and architects
Ability to evaluate trade-offs between AI approaches, including RAG, fine-tuning, and model selection
Understanding of observability principles and 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
Demonstrated ability to stay current in fast-moving domains
Must verify identity and eligibility to work
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