Senior Product Manager, AI/ML

5+ years of product management experience, with a proven track record of managing the full product lifecycle. 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. Exceptional communication, presentation, and stakeholder management skills. 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. An active listener who is humble, always looking to learn, and skilled at removing ambiguity. 2-3 years of direct product management experience focused on AI/ML-powered products (preferred). Hands-on familiarity with modern conversational AI development, including prompt engineering, conversational flow design, LLM evaluation metrics, and RAG workflows (preferred). Understanding of how to measure and optimize conversational quality, with experience defining KPIs (preferred). Working knowledge of healthcare data standards, privacy, and regulatory requirements, including HIPAA (nice to have).

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 mapping multi-turn conversational flows. Develop a framework for defining and implementing customer-specific conversational styles. Establish and own metrics to measure product performance and customer impact. Conduct continuous market analysis and user research. Become the expert on customers and end users, understanding their conversational patterns and language. Champion a continuous discovery process by analyzing call transcripts, chat logs, and user interviews. Translate customer and business needs into a well-defined backlog for the engineering team. Lead a product team of machine learning engineers, designers, and data analysts through the product lifecycle. Continuously test and refine AI product behaviors and conversational quality. Partner with stakeholders to shape and enforce ethical guardrails, safety protocols, and intelligent escalation paths. Act as the primary bridge between technical teams and business stakeholders. Evangelize the product vision and progress to customers, partners, and internal stakeholders. Partner with product marketing, sales, and customer success teams to develop a go-to-market strategy.