AI Product Manager

• 8+ years of product management experience, with a track record of shipping enterprise B2B SaaS products
• At least 2 year of experience as an AI Product Manager — you''ve owned AI features, agentic workflows, or LLM-powered products from concept to launch
• Comfort and skill in customer-facing settings — you can lead discovery interviews, demo new capabilities, present in executive customer meetings, and support sales calls with credibility; you enjoy customer conversations, not just internal ones
• Deep working fluency with Claude — you use these tools daily, know their strengths and limits, and can prototype agentic workflows in them without needing engineering help
• Hands-on prototyping ability — you build working prototypes to validate ideas, not just wireframes or docs; you''re comfortable iterating in AI tools until the concept works
• Deep understanding of modern AI — you understand LLMs, agent architectures, prompt engineering, RAG, evaluation, and guardrails at a working level; you can partner credibly with engineers on technical decisions
• Familiarity with MCP or comparable protocols — you understand what MCP is, why it matters, and how it fits into an AI product strategy
• Excellent written and verbal communication — you can write clear, structured product requirements and speak credibly to technical and non-technical audiences
• Strong collaboration instincts — you''re comfortable being a strong contributor to strategy and marketing without needing to own them
• Enterprise B2B chops — you understand multi-stakeholder buying, procurement, security reviews, and long sales cycles
• Comfort with ambiguity — you thrive at early-stage companies where roadmaps evolve and requirements are rarely handed to you fully formed

Nice to Have

• Experience in supply chain, logistics, manufacturing, or frontline operations software
• Background in platform, developer tools, or API-focused product management
• Prior experience running structured customer discovery programs or design partner programs
• Prior experience supporting product marketing
• Experience with evaluation frameworks for LLM systems (LLM-as-judge, human eval, benchmark design)
• Familiarity with WMS, HRIS, or operational system integrations
• Experience shipping AI features to enterprise customers with strict security and compliance requirements
• Prior work at an early-stage startup