Staff Product Manager

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $198.5k - $233.5k / year

⏰ Full Time

🔴 Lead

✅ Product Manager

👻 Ghost score 2%

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Honeycomb.io

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

SaaS • Enterprise • Artificial Intelligence

Honeycomb. io is an observability platform designed to provide comprehensive insights into application performance. It unifies logs, metrics, and traces into a single data type, allowing engineers to quickly diagnose and resolve issues. Honeycomb. io offers features like distributed tracing, anomaly detection, and service maps to help teams enhance system visibility and operational efficiency. It integrates with popular cloud services like Amazon Web Services and Kubernetes, and supports technologies such as OpenTelemetry. Honeycomb. io aims to enable engineering teams to deploy confidently, reduce incident response times, and improve overall productivity.

📋 Description

• Own product management for Honeycomb's Canvas and Agentic AI teams • Build Honeycomb's AI-powered investigation experience, including natural-language querying, visualization, Skills, Auto-Investigations, and a collaborative Canvas • Work in a close triad with engineering and design leads • Own the roadmap for how AI appears in Honeycomb, from the product UI to the MCP server • Partner with the Director of AI Strategy, Research & Development teams, and customer-facing teams • Define AI product strategy aligned with Honeycomb's vision • Synthesize AI trends, customer needs, and technical capabilities into strategic recommendations • Identify observability challenges created by AI adoption, including LLM drift, prompt regression, and low-context generated code • Research customer AI adoption and identify future market needs • Track AI/ML developments and translate implications for observability • Engage with technical communities, researchers, and early adopters • Partner with product teams to identify high-value AI opportunities • Guide AI approaches, trade-offs, and best practices across teams • Synthesize and share cross-portfolio learnings • Articulate Honeycomb's viewpoint on AI observability internally and externally • Help customers understand evolving observability needs as they adopt AI • Contribute to thought leadership through writing, speaking, and community engagement • Build credibility with technical audiences

🎯 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 things that didn't work • Deep understanding of how engineering teams build, deploy, and operate AI systems • Familiarity with current AI/ML techniques and judgment to know when they are applicable versus overhyped • Ability to synthesize research, customer feedback, and technical trends into coherent strategy • Comfort operating with ambiguity and making decisions without perfect information • Pattern recognition across customer conversations • Strong judgment about when to say "no" or "not yet" • Technical depth sufficient to earn respect from engineers and architects • Curiosity about how things work and humility about knowledge gaps • Ability to evaluate trade-offs between RAG, fine-tuning, model selection, and other AI approaches • Understanding of observability principles and their importance in production systems • Excellent written and verbal communication • Ability to influence without authority across product, engineering, and go-to-market teams • Comfort presenting to customers, executives, and technical audiences • Collaborative mindset • Ability to stay current in fast-moving AI domains • Intellectual humility • Excitement about the intersection of AI technology and real customer problems • Eligibility to work in the United States; Honeycomb cannot currently sponsor or support visa transfers

🏖️ Benefits

• Generous equity with employee-friendly stock program • Transparent pay based on levels relative to experience • Unlimited PTO • Distributed-first mindset and culture • 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 • Reasonable accommodations during the hiring process