Staff Software Engineer (HYBRID)

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.

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.

GEICO is seeking an experienced Staff Software Engineer to join our Knowledge Graph and Content Generation engineering group. This is a high-impact team focused on scaling GEICO's intelligent content creation capabilities through advanced graph-based technologies and AI-driven semantic platforms. In this role, you will lead the technical strategy and implementation of knowledge graph systems, automated content generation workflows, semantic data platforms, and intelligent content delivery solutions that empower our content, marketing, and customer experience teams.

As part of the MarTech organization, this Staff Engineer will collaborate closely with product managers, data scientists, content strategists, and marketing teams to design and deliver cutting-edge knowledge-driven platforms that enable personalized, contextually relevant content generation at enterprise scale. You'll work hands-on across the technology stack, from graph databases and semantic modeling to NLP pipelines and content delivery systems, while influencing architecture decisions and engineering best practices.

You will help drive our insurance business transformation as we transition from traditional content creation methods to an AI-powered, knowledge-driven content ecosystem that delivers exceptional customer experiences, while co-creating a culture of innovation, psychological safety, and continuous improvement.

As a Staff Engineer, you will:    

• Architect and design enterprise-scale knowledge graph platforms that capture and model GEICO's comprehensive insurance domain expertise, customer insights, product relationships, and market intelligence
• Build automated semantic content generation systems that leverage knowledge graphs to create personalized insurance content, product descriptions, educational materials, and customer communications at scale
• Develop intelligent content workflows and APIs that use graph traversal algorithms, natural language processing, and machine learning to automate content production, template generation, and multi-channel publishing
• Design real-time content personalization engines that query knowledge graphs to deliver contextually relevant messaging based on customer profiles, policy information, and behavioral patterns
• Create sophisticated data ingestion and enrichment pipelines that continuously build and maintain knowledge graphs from structured and unstructured data sources across the enterprise
• Implement semantic search and content discovery platforms that understand customer intent and context through graph-based query processing and recommendation algorithms
• Build internal dashboards and tooling for content performance monitoring, knowledge graph visualization, semantic relationship analysis, and content optimization insights
• Lead cross-functional collaboration with product managers, data scientists, and content strategists to translate business objectives into scalable knowledge-driven technical solutions
• Champion engineering excellence in semantic modeling, ontology design, graph database optimization, and AI/ML integration best practices
• Mentor engineering teams on knowledge graph technologies, content automation frameworks, and distributed system design patterns for semantic platforms

Qualifications:  

• Proven experience designing and implem