Principal Product Manager - Customer Technologies

GEICO GEICO · Insurance · Bethesda, MD +4

Principal Product Manager for GEICO's customer engagement platform, focusing on the customer and data foundation. This role will define the vision, roadmap, and platform patterns for audience creation, customer data, and AI-enabled engagement. Key responsibilities include driving automation, strengthening customer and audience capabilities, and leading product direction for intelligent and agentic engagement, including AI-assisted audience development and agentic workflows at scale. The role requires ensuring AI and agentic capabilities are transparent, trustworthy, and responsible within a regulated environment.

What you'd actually do

  1. Define and evolve the product vision, strategy, and roadmap for customer engagement and data capabilities
  2. Own how audience, customer data, and engagement context integrate across journey orchestration, content creation, and delivery
  3. Define platform patterns, contracts, and integration approaches that partner product teams and engineering squads build on
  4. Define product direction for AI assisted and agentic capabilities across customer engagement, including intelligent audience development, goal-based engagement, and data driven decision support for who to reach and why
  5. Establish the customer, audience, and data foundation required for agentic workflows, including eligibility, channel readiness, data quality, and governance guardrails

Skills

Required

  • Product vision and strategy definition
  • Roadmap development
  • Platform pattern definition
  • Audience creation and segmentation
  • Customer data management
  • AI/ML product integration
  • Agentic workflow product definition
  • Data quality management
  • Governance and safeguards
  • User research and stakeholder alignment
  • Agile product development

Nice to have

  • Experience in insurance or financial services
  • Experience with marketing automation platforms
  • Experience with self-serve usability

What the JD emphasized

  • AI enabled engagement inputs
  • intelligent and agentic engagement capabilities
  • AI assisted audience development
  • agentic workflows at scale
  • agentic customer experiences at scale
  • AI assisted and agentic capabilities
  • agentic workflows
  • agentic and automation opportunities
  • AI and agentic capabilities are transparent, trustworthy, and responsible
  • regulated, high volume environment

Other signals

  • AI enabled engagement inputs
  • intelligent and agentic engagement capabilities
  • AI assisted audience development
  • agentic workflows at scale
  • agentic customer experiences at scale
  • AI assisted and agentic capabilities
  • agentic workflows
  • agentic and automation opportunities
  • AI and agentic capabilities are transparent, trustworthy, and responsible