Staff Product Manager - AI Team

Honeycomb.io

1d•Remote

About The Position

Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases. We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote 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.

Requirements

Proven AI product experience
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
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 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
Communication and collaboration skills
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
Curiosity and learning orientation
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

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
Conduct research that bridges technology and customer reality
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
Enable AI innovation across the product portfolio
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)
Evangelize the AI-observability connection
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

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...

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