SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 198,500 - 233,500 / annual
Honeycomb is hiring a Staff Product Manager to lead AI product strategy across the Canvas and Agentic AI teams. You'll own the roadmap for how AI integrates into Honeycomb's observability platform, working in a tight triad with engineering and design leads.
In this role, you'll define AI product strategy that serves Honeycomb's vision by synthesizing AI trends, customer needs, and technical capabilities into clear strategic recommendations. You'll help the product organization distinguish genuine customer value from hype, identify emerging observability challenges created by AI adoption (LLM drift, prompt regression, low-context generated code), and make informed bets about which AI technologies warrant investment.
You'll conduct deep research bridging technology and customer reality—building understanding of how customers adopt AI in engineering workflows, identifying patterns that signal future market needs, staying current with AI/ML developments (RAG, fine-tuning, agentic systems), and engaging with technical communities and early adopters to spot trends early.
You'll enable AI innovation across the product portfolio by partnering with product teams to identify high-value AI opportunities, providing guidance on AI approaches and trade-offs, helping teams understand how their work fits into broader AI strategy, and synthesizing cross-portfolio learnings.
You'll also evangelize the AI-observability connection internally and externally—articulating Honeycomb's point of view on AI observability, helping customers understand evolving observability needs, contributing to thought leadership through writing and speaking, and building credibility with technical audiences.
Honeycomb is a fully distributed company with 200+ employees, Series D funded, and named to Forbes' America's Best Startups in 2022 and 2023. Customers include HelloFresh, Slack, LaunchDarkly, and Vanguard.
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—spotting unstated needs
- Strong judgment about when to say "no" or "not yet" despite exciting technology
- Enough technical depth to earn respect from engineers and architects
- Genuine curiosity about how things work, paired with humility about knowledge gaps
- Ability to evaluate trade-offs between different AI approaches (RAG vs. fine-tuning, model selection)
- Understanding of observability principles and their importance in production systems
- Excellent written and verbal communication—can 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 rather than centralizing control
- Demonstrated ability to stay current in fast-moving domains
- Intellectual humility—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
