[Hiring] Staff Product Manager @Honeycomb.io

Role Description

You'll be the product manager for our Canvas and Agentic AI teams - the teams building Honeycomb's AI-powered investigation experience. Canvas lets engineers use natural language to query, visualize, and understand their production systems. We're pushing well past chat: we're building Skills (pre-configured workflows that encode domain expertise into repeatable, executable actions), Auto-Investigations (agent-driven investigations that kick off before a human gets paged), and a rearchitected Canvas that's both interactive and collaborative.

You'll work in a tight triad with engineering and design leads, owning the roadmap for how AI shows up in Honeycomb, from the product UI to our MCP server. You'll partner with our Director of AI Strategy, Research & Development teams, and our customer-facing teams to stay grounded in what customers actually need while pushing toward something meaningfully different from what exists today.

This is a role for someone who can hold both execution and ambiguity: shipping production features while navigating a product space where the right answers are still emerging.

Qualifications

• Proven AI product experience
• 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 actually build, deploy, and operate AI systems (not just theoretical knowledge)
• Familiarity with current AI/ML techniques and the judgment to know when they're applicable vs. overhyped
• Strategic thinking with customer empathy
• 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 conversations—spotting what customers aren't yet saying clearly
• Strong judgment about when to say "no" or "not yet" despite exciting technology
• Technical credibility without needing to be the expert
• Enough technical depth to have earned respect from engineers and architects
• Genuine curiosity about how things work, paired with humility about what you don't know
• Ability to evaluate trade-offs between different AI approaches (RAG vs. fine-tuning, model selection, etc.)
• Understanding of observability principles and why they matter in production systems

Requirements

• Excellent written and verbal communication—can explain complex ideas clearly 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 rather than centralizing control
• Demonstrated ability to stay current in fast-moving domains (AI is evolving weekly, not yearly)
• Intellectual humility—you're more interested in learning than being right
• Excitement about the intersection of AI technology and real customer problems
• Energized rather than exhausted by the pace of change in AI

Benefits

• A stake in our success - generous equity with employee-friendly stock program
• It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
• Time to recharge with unlimited PTO
• A distributed-first mindset and culture (really!)
• 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
• And much more...