Senior Product Manager, AI/ML

Weave is a product-led company focused on creating innovative solutions for its customers. The Senior Product Manager will lead the development of an AI assistant, responsible for product strategy and execution while ensuring compliance and usability across various channels.

Responsibilities:

• Define, own, and champion the product vision, strategy, and roadmap for a unified conversational AI platform
• Own the end-to-end conversational design process, including prompt engineering and the mapping of complex, multi-turn conversational flows for a wide range of end user requests
• Develop a framework for defining and implementing customer-specific conversational styles, ensuring each AI interaction is empathetic, trustworthy, and aligned with the customer’s needs
• Establish, monitor, and own a comprehensive suite of metrics to measure product performance and customer impact, including end user satisfaction, task completion rates, and staff time saved
• Conduct continuous market analysis and user research to identify emerging trends and opportunities for innovation in end user engagement and healthcare AI
• Become the undisputed expert on our customers and end users, deeply understanding not just their workflows, but their conversational patterns, language, and the types of questions they ask
• Champion a continuous discovery process, analyzing call transcripts, chat logs, and user interviews to uncover insights into conversational behavior, user intent, and common points of confusion
• Translate customer and business needs, converting raw feedback and conversational data into a well-defined backlog of user stories, dialogue flows, and AI response requirements for the engineering team to execute
• Lead a dedicated product team of machine learning engineers, designers, and data analysts through the full product development lifecycle
• Continuously test and refine AI product behaviors and conversational quality using a mix of qualitative user feedback and data analytics
• Partner with engineering, design, and legal stakeholders to shape and enforce robust ethical guardrails, safety protocols, and intelligent escalation paths to human agents
• Act as the primary bridge between technical teams and business stakeholders, ensuring the product is technically excellent, relevant, and seamlessly integrated into the customer’s workflows
• Evangelize the product vision and progress to customers, partners, and internal stakeholders to build alignment and drive adoption
• Partner with product marketing, sales, and customer success teams to develop a comprehensive go-to-market strategy, including pricing, packaging, and launch plans

Requirements:

• 7+ years of product management experience, with a proven track record of managing the full product lifecycle from ideation to launch and iteration
• Experience delivering AI-powered products that span channels like voice, SMS, email, or in-app chat with a track record of maintaining context and continuity across them
• Exceptional communication, presentation, and stakeholder management skills, with the ability to distill complex concepts for diverse audiences
• A deeply data-informed and analytical mindset, with hands-on experience using analytics to drive product decisions
• A profound sense of empathy and a genuine passion for solving complex problems to improve the lives of end users
• An active listener who is humble, always looking to learn, and skilled at removing ambiguity to drive projects forward
• A minimum of 2-3 years of direct product management experience focused on AI/ML-powered products, with a strong preference for experience in Generative AI or conversational AI
• Hands-on familiarity with the nuances of modern conversational AI development, including prompt engineering, conversational flow design, LLM evaluation metrics, and RAG workflows
• Understanding of how to measure and optimize conversational quality, with experience defining KPIs such as intent recognition accuracy, response relevance, and containment rate
• (Nice to have) Working knowledge of healthcare data standards, privacy, and regulatory requirements, including a solid understanding of HIPAA and its implications for product design