Staff Product Manager - Ai Team
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!
You'll work with our AI team, which is building CanvasHoneycomb's AI-powered investigation tool that enables natural language conversations with observability data. Canvas is our primary AI entry point, letting users generate queries, visualizations, and insights through conversation rather than manual instrumentation.
Beyond Canvas, you'll collaborate with product managers across our portfolio to understand where AI can create leverage, help teams make informed decisions about AI investments, and ensure we're building coherent AI experiences rather than fragmented features. You'll also partner with our product design team, engineering leadership, and customer-facing teams to maintain a pulse on both technological possibilities and real-world customer needs.
This is a research-oriented role for someone energized by ambiguity, emerging technology, and the challenge of translating early signals into product strategy.
What you'll do in the role :
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 workflowsIdentify patterns across customer conversations that signal future market needsStay current with AI / ML developments (RAG, fine-tuning, agentic systems, etc.) and translate implications for observabilityEngage with technical communities, researchers, and early adopters to spot trends before they go mainstreamEnable AI innovation across the product portfolio
Partner with product teams to identify high-value opportunities to leverage AI capabilitiesProvide guidance on AI approaches, trade-offs, and best practices without centralizing all decisionsHelp teams understand how their work fits into our broader AI strategy and how to leverage shared capabilitiesSynthesize 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 externallyHelp customers understand how observability needs evolve as they adopt AIContribute to thought leadership through writing, speaking, and community engagementBuild credibility with technical audiences who care deeply about how we use AI, not just that we use itWhat you'll bring to the role :
Proven AI product experience
5+ years in product management with at least 1+ year shipping AI / ML-powered productsTrack record of taking AI features from concept to customer impact, including things that didn't workDeep 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. overhypedStrategic thinking with customer empathy
Ability to synthesize disparate signals (research, customer feedback, technical trends) into coherent strategyComfort operating with ambiguity and making decisions without perfect informationPattern recognition across conversationsspotting what customers aren't yet saying clearlyStrong judgment about when to say "no" or "not yet" despite exciting technologyTechnical credibility without needing to be the expert
Enough technical depth to have earned respect from engineers and architectsGenuine curiosity about how things work, paired with humility about what you don't knowAbility 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 systemsCommunication and collaboration skills
Excellent written and verbal communicationcan explain complex ideas clearly to varied audiencesAbility to influence without authority across product, engineering, and go-to-market teamsComfort presenting to customers, executives, and technical audiencesCollaborative mindset that elevates others' work rather than centralizing controlCuriosity and learning orientation
Demonstrated ability to stay current in fast-moving domains (AI is evolving weekly, not yearly)Intellectual humilityyou're more interested in learning than being rightExcitement about the intersection of AI technology and real customer problemsEnergized rather than exhausted by the pace of change in AIBase Salary based on level of experience
$220,000 - $250,000 USD
What you'll get when you join the Hive :
A stake in our success - generous equity with employee-friendly stock programIt's not about how strong of a negotiator you are - our pay is based on transparent levels relative to experienceTime to recharge - Unlimited PTO and paid sabbaticalA remote-first mindset and culture (really!)Home office, co-working, and internet stipendFull benefits coverage for employees, with additional coverage available for dependentsUp to 16 weeks of paid parental leave, regardless of path to parenthoodAnnual development allowanceAnd much more...Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
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All communications will come from an @honeycomb.io email addressWe occasionally work with external recruiting agencies. These partners will use legitimate business email addresses never personal accounts like Gmail or Yahoo .Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to :
Social security or tax identification numbersCredit card numbersBank account informationDiversity & Accommodations :
We're committed to building a diverse, inclusive, and equitable workplacewhere people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work.
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