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

Staff Product Manager

Responsibilities