AI Product Manager

Key Responsibilities

• Define and evolve the product roadmap for an AI-native health insurance sales assistant.
• Strong experience and expertise in Prompt Engineering.
• Bring first principles thinking to product development - obsess over the user journey, the pain points, and the metrics that matter.
• Prioritize features that drive sales conversions, reduce agent effort, and differentiate us from anything else in the market.
• Collaborate with AI engineers to define use-cases, conversational flows, and sales playbooks powered by LLMs
• Own prompt iteration, testing, and success benchmarks - you should be hands-on in evaluating outputs and improving them daily.
• Work closely with design, engineering, and compliance to ensure conversations are persuasive, empathetic, compliant, and business-aligned.
• Run tight build-measure-learn loops. Be the voice of speed and clarity in the team.
• Set up feedback loops from users (internal agents and external customers), measure funnel drop-offs, and identify moments to optimize.
• Define product-level evaluation criteria: conversion rate, response quality, lead qualification accuracy, user satisfaction, etc.
• Build AI workflows that don't just respond, but sell - guiding users from interest to conversion like a top 1% salesperson.
• Collaborate with data science to implement live dashboards for monitoring LLM effectiveness and fine-tuning based on real outcomes.