G07 - Product Manager (AI Assistants)

Overview We are looking for a Product Ops to support our AI Assistants users. You will sit at the intersection of our Product, Engineering, and Customer teams, ensuring that our users are well-equipped with the skills needed to build bots and agents with our products. Your mission is to turn complex AI features into clear, actionable knowledge through hands-on workshops and direct support. Responsibilities Educational Workshops & Training Design and Lead Workshops: Create and facilitate live training sessions for customers on how to best deploy and interact with our bots/agents. Prompt Engineering Guidance: Help users understand how to write effective prompts and configurations to get the most out of the AI models. Customer Query Management & Support First-Line Response: Act as the primary point of contact for customer queries, providing thoughtful, timely, and technical (but accessible) answers. Technical Troubleshooting: Work closely with the AI Assistants engineering team to identify and resolve user-reported bugs, "hallucinations," or latency issues. Feedback Synthesis: Transform raw customer queries into "feature requests" or "documentation gaps" for the product team to prioritize in the roadmap. User Success & Documentation Knowledge Base Ownership: Build and maintain a library of FAQs, "How-to" guides, and best-practice templates for AI interaction. Onboarding: Ensure new users have a frictionless start by guiding them through their first AI Assistant setup and integration. Requirements Education: Bachelor's Degree in Communication, Business, Information Systems, or a relevant field. We value candidates who can bridge the gap between business needs and technical systems. Technical Literacy: A strong interest in AI, LLMs, and agentic workflows. You don't need to be a developer, but you should be comfortable explaining concepts like system prompts, grounding, and temperature. Communication: Great verbal and written communication skills. You can translate high-level technical jargon into clear, human-centric language. Problem-Solving: You enjoy looking at a failed AI response and deducing whether it's a prompt error, a data issue, or a technical bug. Adaptability: You thrive in the fast-paced nature of the AI industry, where tools and best practices evolve weekly.