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Salary: CAD 272,739 - 320,829 / annual
Honeycomb is a Series D-funded observability platform serving companies like Slack, HelloFresh, LaunchDarkly, and Vanguard. The company has scaled past 200 employees and was named to Forbes' America's Best Startups in 2022 and 2023.
You will be the Staff Product Manager for Honeycomb's Canvas and Agentic AI teams, owning the product strategy and roadmap for how AI integrates into the observability platform. Canvas enables engineers to use natural language to query, visualize, and understand production systems. The team is building Skills (pre-configured workflows encoding domain expertise), Auto-Investigations (agent-driven investigations that trigger before human escalation), and a rearchitected Canvas experience that is both interactive and collaborative.
In this role, you will work in a tight triad with engineering and design leads, partnering with the Director of AI Strategy, Research & Development teams, and customer-facing teams. You'll balance execution on production features with navigating a product space where the right answers are still emerging.
Key responsibilities include:
- Define AI product strategy by synthesizing trends, customer needs, and technical capabilities; help the organization distinguish genuine customer value from hype
- Identify emerging observability challenges created by AI adoption (LLM drift, prompt regression, low-context generated code)
- Conduct research bridging technology and customer reality: build deep understanding of how customers adopt AI in engineering workflows, identify patterns signaling future needs, stay current with AI/ML developments (RAG, fine-tuning, agentic systems)
- Enable AI innovation across the product portfolio by partnering with product teams, providing guidance on AI approaches and trade-offs, helping teams understand how their work fits broader strategy
- Evangelize the AI-observability connection internally and externally through thought leadership, customer education, and community engagement
Honeycomb is fully distributed with a culture emphasizing trust, autonomy, and accountability from day one.
REQUIREMENTS:
- 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 failed experiments
- Deep understanding of how engineering teams build, deploy, and operate AI systems (not theoretical)
- Familiarity with current AI/ML techniques and judgment to distinguish applicable from overhyped
- Ability to synthesize disparate signals (research, customer feedback, technical trends) into coherent strategy
- Comfort operating with ambiguity and making decisions without perfect information
- Pattern recognition across customer conversations; strong judgment about saying "no" or "not yet"
- Technical depth sufficient to earn respect from engineers and architects
- Genuine curiosity about how things work with humility about knowledge gaps
- Ability to evaluate trade-offs between AI approaches (RAG vs. fine-tuning, model selection)
- Understanding of observability principles and their importance in production systems
- Excellent written and verbal communication; ability to explain complex ideas to varied audiences
- Ability to influence without authority across product, engineering, and go-to-market teams
- Comfort presenting to customers, executives, and technical audiences
- Collaborative mindset that elevates others' work
- Demonstrated ability to stay current in fast-moving domains
- Intellectual humility and learning orientation
- Excitement about the intersection of AI technology and real customer problems
