Staff Product Manager – AI Team

Posted 2 weeks ago

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About the role

  • Product Manager for AI teams building Honeycomb's AI-powered investigation experience. Collaborating with engineering and design to deliver innovative AI solutions.

Responsibilities

  • Define AI product strategy in service of Honeycomb's vision
  • Synthesize AI trends, customer needs, and technical capabilities into clear strategic recommendations
  • Help the product organization understand where and how AI creates genuine customer value vs. where it's hype
  • Identify emerging observability challenges created by AI adoption (e.g., LLM drift, prompt regression, low-context generated code)
  • Make informed bets about which AI technologies and approaches warrant investment
  • Build deep understanding of how customers are adopting AI in their engineering workflows
  • Identify patterns across customer conversations that signal future market needs
  • Stay current with AI/ML developments (RAG, fine-tuning, agentic systems, etc.) and translate implications for observability
  • Engage with technical communities, researchers, and early adopters to spot trends before they go mainstream
  • Partner with product teams to identify high-value opportunities to leverage AI capabilities
  • Provide guidance on AI approaches, trade-offs, and best practices without centralizing all decisions
  • Help teams understand how their work fits into our broader AI strategy and how to leverage shared capabilities
  • Synthesize cross-portfolio learnings and socialize what's working (and what isn't)
  • Articulate Honeycomb's point of view on AI observability both internally and externally
  • Help customers understand how observability needs evolve as they adopt AI
  • Contribute to thought leadership through writing, speaking, and community engagement
  • Build credibility with technical audiences who care deeply about how we use AI, not just that we use it

Requirements

  • Experienced in product management with at least 1+ year shipping AI-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
  • 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
  • Enough technical depth to have earned respect from engineers and architects and the collaborative approach to drive work forward in tandem with the triad
  • 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
  • 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 - Unlimited PTO and paid sabbatical
  • 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...

Job type

Full Time

Experience level

Lead

Salary

CA$304,300 - CA$345,800 per year

Degree requirement

No Education Requirement

Location requirements

RemoteCanada

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