Product Manager for AI teams building Honeycomb's AI-powered investigation experience. Collaborating with engineering and design to deliver innovative AI solutions.
Responsibilities
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
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
Partner with product teams to identify high-value opportunities to leverage AI capabilities
Provide guidance on AI approaches, trade-offs, and best practices without centralizing all decisions
Help teams understand how their work fits into our broader AI strategy and how to leverage shared capabilities
Synthesize cross-portfolio learnings and socialize what's working (and what isn't)
Articulate Honeycomb's point of view on AI observability both internally and externally
Help customers understand how observability needs evolve as they adopt AI
Contribute to thought leadership through writing, speaking, and community engagement
Build credibility with technical audiences who care deeply about how we use AI, not just that we use it
Requirements
Experienced in product management with at least 1+ year shipping AI-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 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. 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 conversations—spotting what customers aren't yet saying clearly
Strong judgment about when to say "no" or "not yet" despite exciting technology
Enough technical depth to have earned respect from engineers and architects and the collaborative approach to drive work forward in tandem with the triad
Genuine curiosity about how things work, paired with humility about what you don't know
Ability 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 systems
Excellent written and verbal communication—can explain complex ideas clearly 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 (AI is evolving weekly, not yearly)
Intellectual humility—you're 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.
Benefits
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge - Unlimited PTO and paid sabbatical
A distributed-first mindset and culture (really!)
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
Product Manager responsible for shaping digital signature solutions at Portage CyberTech. Collaborating with cross - functional teams to drive product strategy and execution.
Payments Canada seeks an Emerging Payment Products Manager to drive complex product initiatives across the real - time payments portfolio, collaborating cross - functionally to shape Canada's payment future.
Technical Product Leader for Search at Yelp, leading algorithm development and optimization. Collaborating with engineers to design personalized business recommendations.
Salesforce Developer developing solutions in Salesforce for Citco's multi - cloud transformation. Collaborating with cross - functional teams to deliver high - quality features in a hybrid work environment.
Senior Product Manager at Precision Nutrition developing a Premium Membership and Coaching Software. Leading product strategy while collaborating with cross - functional teams.
Senior Product Manager for a technology company, owning partner - led solutions and collaborating across teams. Design and define technical solutions with strategic partners for market needs.
Product Manager at Orpyx, working on Digital Platform and Connected Devices for diabetes care. Responsible for product strategy, discovery, and execution within cross - functional teams.
Product Manager at TELUS managing Koodo's device pricing strategies. Collaborating with teams to optimize pricing and evaluate offers in a fast - paced environment.
Growth Product Manager at Brilliant Harvest enhancing product engagement for heavy equipment dealerships. Building features that drive customer success and retention through active field engagement.