Principal Product Manager, AI MarTech

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 through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. 

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.

Role Overview 

As Principal Product Manager, AI MarTech, you will lead the strategy and execution of AI-powered Agentic Marketing Technology to deliver personalization and recommendation systems across the customer lifecycle — from acquisition to engagement to retention. Your work will transform how GEICO delivers tailored experiences, replacing static, rule-based decision-making with intelligent models that adapt to each customer’s context in real time. 

You will collaborate deeply with our machine learning and data science teams, and partner cross-functionally with product managers in content, lifecycle marketing, customer journeys, and experimentation. This role is central to GEICO’s transformation into an AI-first, customer-obsessed platform. 

Key Responsibilities 

• Define the vision and roadmap for AI-powered agentic marketing technology, personalization, and recommendation systems across GEICO’s web, app, and owned channels. 

• Partner with AI/ML and engineering teams to design and deploy models that drive content ranking, product recommendations, next-best-actions, and lifecycle engagement. 

• Exceptional leadership and collaboration skills, with experience managing cross-functional teams. 

• Ability to influence and align stakeholders at all levels of the organization. 

• Work with marketing, content, and journey orchestration PMs to embed personalization logic into end-to-end customer experiences. 

• Experience defining and tracking KPIs to measure product success. Own success metrics such as engagement lift, clickthrough rate, policy conversion, NPS, and renewal intent. 

• Drive testing and experimentation for personalization at scale — including A/B testing, model comparisons, and cohort targeting. 

• Translate complex ML product requirements into simple, actionable plans that drive business value. 

• Excellent communication and presentation skills, with the ability to articulate complex concepts to both technical and non-technical audiences. 

Qualifications 

• 10+ years of product management experience, including 3+ years building AI/ML-based marketing platforms, personalization, and recommendation systems.  

• Proven success deploying user-facing recommendations or personalized journeys at scale (e.g., in e-commerce, media, fintech, or insurance) 

• Experience working closely with data science and ML engineering teams — familiarity with model training, ranking, relevance, and explainability 

• Strong analytical skills and comfort with experimentation, A/B testing, and metric definition 

• Excellent communication and collaboration across technical and non-technical stakeholders 

• A passion for customer-centric product development with an AI-first mindset 

 
Education 

• Bachelor's degree in computer science, Engineering,