Weave is looking to create a revolutionary, end user-facing AI assistant that provides a consistent, secure, and compliant experience across every channel, enabling end users to get answers, schedule appointments, and manage their care with confidence, while freeing up practice staff for more complex tasks.
Requirements
- 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.
- A deeply data-informed and analytical mindset, with hands-on experience using analytics to drive product decisions.
- 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.
- Working knowledge of healthcare data standards, privacy, and regulatory requirements, including a solid understanding of HIPAA and its implications for product design.
- Experience pulling together customer and stakeholder feedback and working closely with a development team to identify and build solutions that delight the customer while positively impacting their business.
- Comfortable diving deep into technical details with engineering teams.
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.
- 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.
Other
- 5+ years of product management experience, with a proven track record of managing the full product lifecycle from ideation to launch and iteration.
- Exceptional communication, presentation, and stakeholder management skills, with the ability to distill complex concepts for diverse audiences.
- 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.
- This position will be hybrid (remote/in office) located in the Lehi, UT headquarters.
