Staff Product Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of product management for the Canvas and Agentic AI teams at Honeycomb.

• Develop Honeycomb's AI-driven investigation experience, incorporating natural-language querying, visualization, Skills, Auto-Investigations, and a collaborative Canvas.

• Collaborate closely with engineering and design leads in a triad.

• Manage the roadmap for AI integration within Honeycomb, covering everything from the product UI to the MCP server.

• Work in partnership with the Director of AI Strategy, Research & Development teams, and customer-facing teams.

• Establish AI product strategy that aligns with Honeycomb's overarching vision.

• Combine insights from AI trends, customer requirements, and technical capabilities into strategic recommendations.

• Recognize observability challenges arising from AI implementation, such as LLM drift, prompt regression, and low-context generated code.

• Investigate customer AI adoption and pinpoint future market demands.

• Monitor AI/ML advancements and interpret their implications for observability.

• Interact with technical communities, researchers, and early adopters.

• Collaborate with product teams to uncover high-value AI opportunities.

• Guide AI methodologies, trade-offs, and best practices across various teams.

• Consolidate and disseminate cross-portfolio insights.

• Clearly communicate Honeycomb's perspective on AI observability both internally and externally.

• Assist customers in grasping their evolving observability needs as they embrace AI.

• Contribute to thought leadership through writing, speaking engagements, and community involvement.

• Establish credibility with technical audiences.

⛳️ Requirements

• Minimum of 5 years in product management, with at least 1 year of experience delivering AI/ML-powered products.

• Proven history of guiding AI features from concept to customer impact, including instances that didn't succeed.

• In-depth comprehension of how engineering teams construct, deploy, and maintain AI systems.

• Familiarity with contemporary AI/ML methodologies and the discernment to recognize when they are applicable versus overhyped.

• Capability to integrate research, customer insights, and technical trends into a cohesive strategy.

• Comfort in navigating ambiguity and making decisions with incomplete information.

• Ability to recognize patterns through customer discussions.

• Strong judgment regarding when to decline requests or suggest a "not yet" approach.

• Sufficient technical expertise to gain respect from engineers and architects.

• A curious mindset about how things function and humility regarding knowledge gaps.

• Proficiency in evaluating trade-offs between RAG, fine-tuning, model selection, and other AI strategies.

• Understanding of observability principles and their significance in production environments.

• Exceptional written and verbal communication skills.

• Ability to influence without direct authority across product, engineering, and go-to-market teams.

• Comfortable presenting to customers, executives, and technical audiences.

• Collaborative mindset.

• Ability to stay updated in rapidly evolving AI fields.

• Intellectual humility.

• Enthusiasm for the convergence of AI technology and real customer challenges.

• Eligibility to work in the United States; Honeycomb is currently unable to sponsor or support visa transfers.

🏝️ Benefits

• Generous equity through a stock program that favors employees.

• Transparent compensation based on levels in relation to experience.

• Unlimited paid time off (PTO).

• A distributed-first culture and mindset.

• Stipend for home office, co-working, and internet expenses.

• Comprehensive benefits coverage for employees, with additional options for dependents.

• Up to 16 weeks of paid parental leave, regardless of the path to parenthood.

• Annual allowance for professional development.

• Reasonable accommodations available during the hiring process.