Principal Product Manager - Customer Technologies

Why Join GEICO?

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most.
We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge:
Great Company, Great Culture, Great Rewards, and Great Careers.

About The Job
You will be working on GEICO’s platform for creating and activating customer communications and marketing campaigns. We are evolving into a modern customer engagement platform
, helping teams reach the right customers with relevant experiences across channels, with growing emphasis on self serve usability, multi channel orchestration, AI engagement, and enterprise grade reliability.
This Principal Product Manager role owns the customer and data foundation
, the capabilities that define who can be reached, with what data, on which channels, and under what eligibility and quality standards. Journey, content, and delivery capabilities build on this foundation, and you will define the vision, platform patterns, and roadmap that connect them.
This is a Principal level, multi squad portfolio role with ownership across audience, customer data, AI enabled engagement inputs, and the platform foundation that powers personalized, intelligent customer engagement.
You will drive automation and simplification across audience and platform workflows, strengthen customer and audience capabilities, and help teams activate experiences with confidence. You will also lead product direction for intelligent and agentic engagement capabilities, including AI assisted audience development, goal-based engagement strategy, and the data quality and platform patterns required to support agentic workflows at scale.
This role is ideal if you enjoy working closely with users, designers, engineers, and data partners, while also building alignment with senior leadership and stakeholders. If you want to shape how GEICO understands its customers, powers AI driven engagement, and enables agentic customer experiences at scale, we are looking for you.
This is a hybrid position, requiring on-site presence 2-3 days a week at one of the following locations:
Palo Alto, CA;
Seattle, WA;
Bethesda, MD.

• Define and evolve the product vision, strategy, and roadmap for customer engagement and data capabilities
• Own how audience, customer data, and engagement context integrate across journey orchestration, content creation, and delivery
• Define platform patterns, contracts, and integration approaches that partner product teams and engineering squads build on
• Connect roadmap priorities to measurable engagement performance, including reach, relevance, activation success, data quality, and time to launch
• Translate complex business, data, and operational requirements into clear product strategies and actionable features

• Drive the Audience Manager product surface, including audience creation, segmentation, reference audiences, suppression, execution, and lifecycle management
• Advance the customer and audience data layer that journeys and content depend on, including modernization of how audience capabilities are used across the platform
• Define engagement context for users, including who can be reached, on which channels, and with what data quality and eligibility constraints
• Establish product patterns for governance, validation, and safeguards that reduce errors, rework, and operational risk

• 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
• Establish the customer, audience, and data foundation required for agentic workflows, including eligibility, channel readiness, data quality, and governance guardrails
• Partner with AI engineering to translate intelligent engagement opportunities into usable product experiences that fit existing marketer and operator workflows
• Identify high value agentic and automation opportunities across audience creation, targeting, activation readiness, and engagement planning
• Ensure AI and agentic capabilities are transparent, trustworthy, and responsible for business users, with clear guardrails in a regulated, high volume environment

• Improve data quality signals in product, including audience fit, coverage, and readiness for activation
• Advance integration and activation patterns with customer data and audience platforms so definition and…