Principal Product Manager, Conversational Chatbot

GEICO GEICO · Insurance · Palo Alto, CA +3

Principal Product Manager for Conversational Chatbot at GEICO, focusing on building and enhancing AI-driven customer experiences for online and mobile platforms. The role involves defining product vision, leading cross-functional teams, and owning the AI product lifecycle from conception to launch and iteration, with a strong emphasis on large-scale conversational AI and GenAI products.

What you'd actually do

  1. Building complex conversational AI and Chatbot experiences and features at large scale.
  2. Defining and executing a multi-year unified vision in close partnership with our business and engineering teams.
  3. Leading cross-functional teams that drive results during product discovery and product delivery.
  4. Synthesizing business, market, and platform data to identify opportunities, size them, and turn insights into product vision, strategy and requirements.
  5. Owning and prioritizing short term and long-term product roadmap to deliver on business outcomes, working closely with a cross-functional team to ensure that all the right resources are aligned to ensure that and your team will be successful.

Skills

Required

  • Product Management
  • AI/ML or GenAI products
  • AI-powered platforms
  • LLMs
  • Retrieval/RAG
  • Agentic workflows
  • Consumer facing online and mobile app products
  • Quantitative and qualitative data analysis

Nice to have

  • Conversational AI
  • Chatbot development
  • Product discovery
  • Product delivery
  • UX partnership
  • Modern architecture
  • KPI identification and measurement
  • Mentoring other Product Managers

What the JD emphasized

  • 3+ years owning AI/ML or GenAI products in sustained production, with direct accountability for model outcomes, quality, and business impact
  • Hands-on experience delivering AI-powered platforms or experiences at enterprise scale, working closely with applied scientists, ML engineers, and platform teams to operationalize LLMs, retrieval/RAG, decisioning, or agentic workflows
  • Demonstrated end-to-end ownership of the AI product lifecycle, including problem framing, data strategy, experimentation, model evaluation metrics, risk/controls, and post-launch iteration in regulated or high-trust environments

Other signals

  • conversational AI
  • chatbot
  • AI/ML or GenAI products
  • AI-powered platforms
  • LLMs
  • retrieval/RAG
  • agentic workflows