GEICO

QA Engineer

• Design, develop, and maintain scalable automation frameworks for UI, API, and integration testing
• Develop and execute functional, regression, end-to-end, and performance test cases
• Implement and enhance automated test scripts using industry-standard tools and frameworks
• Conduct performance testing using K6 and LoadRunner to identify bottlenecks
• Collaborate with developers, product managers, and DevOps teams to integrate testing into the CI/CD pipeline
• Ensure test coverage, traceability, and maintain test documentation
• Identify, track, and report defects, providing detailed analysis and recommendations
• Optimize and improve existing QA processes to enhance efficiency and effectiveness
• Ensure quality and reliability of billing platform applications

Senior Quality Assurance Engineer – Billing Platform

Business Intelligence Analyst

• Partner closely with business leaders to translate complex data into actionable insights
• Lead and execute analytical projects focused on business outcomes, customer experience, and performance improvement
• Lead large, complex ad-hoc and planned analytical initiatives from problem definition through insight delivery
• Identify analytical opportunities and recommend data-driven courses of action
• Apply advanced analytical and statistical techniques to evaluate trends, performance drivers, customer behavior, and business outcomes
• Translate complex analyses into insights and recommendations for senior leaders
• Act as a strategic partner and liaison between analytics, technology, and business teams
• Collaborate with stakeholders across functions to define requirements and align objectives
• Represent the analytics function in cross-functional forums and presentations to management and senior leadership
• Coordinate and prioritize multiple analytical projects while ensuring quality, accuracy, and timeliness
• Delegate work to junior analysts and provide guidance
• Support team leads and managers with planning, prioritization, and delivery of analytics work
• Use advanced querying, database, and analytical tools to extract, analyze, and validate large, complex datasets
• Ensure data integrity and consistency
• Develop understanding of enterprise data environments, transactional systems, and relationships between data sources
• Present analytical findings and recommendations to broad audiences
• Connect insights to business strategy, risks, and opportunities

Marketing

• Own day-to-day management of assigned sports sponsorships
• Ensure partnership assets are fully utilized and programs are executed with excellence
• Maintain working-level relationships with properties and partners
• Translate sponsorship rights and assets into actionable activation plans aligned to brand and business objectives
• Support contracting and negotiation processes with agencies and internal stakeholders
• Lead cross-functional project management across Social, Influencer, Creative, Analytics, and Go-to-Market
• Manage timelines, approvals, deliverables, and dependencies
• Build and maintain workbacks, trackers, activation plans, and status updates
• Partner with internal creative teams and external agencies to deliver activation assets
• Collaborate with Experiential Marketing on sports-tied experiential executions
• Coordinate recap inputs, track deliverables, and capture learnings
• Assist with budget management through invoice processing and financial tracking
• Identify opportunities to improve coordination and efficiency of sports partnership activations
• Report to the Sr. Manager, Sports & Experiential Marketing
• Travel up to 20%, including occasional weekend and off-hours commitments

Supervisor, Sports Marketing

Actuary

• Work alongside other actuaries on various actuarial projects and analysis
• Directly impact GEICO’s growth and profitability
• Work on reserving analysis, claim trend analysis, and frequency/severity projections
• Develop and present analysis and proposals to various stakeholder groups
• Gain real-world experience using Excel, SQL, R, Snowflake, Power BI, and ResQ
• Participate in insurance, actuarial, and technical trainings
• Participate in internship forums and departmental meetings
• Participate in social and networking events

Analyst Internship – Actuarial

Security Engineer

• Lead Workday integrations, security, and data capabilities from strategy through delivery and support
• Establish integration and architecture standards and governance practices aligned with People Group and enterprise technology strategy
• Own Workday security strategy, access governance, audit readiness, privacy controls, and risk remediation
• Modernize platform capabilities through automation, simplification, and adoption of emerging technologies
• Partner with senior leaders to align technology priorities with business goals and associate experience outcomes
• Translate complex technical topics into clear recommendations, roadmaps, and execution plans
• Lead cross-functional prioritization, risk resolution, and delivery of strategic People Technology initiatives
• Define metrics measuring service quality, security effectiveness, delivery health, and team outcomes
• Lead and develop a high-impact team of engineers
• Build partnerships across the People Group, enterprise technology teams, and external vendors

Senior Manager, Workday HCM Integrations, Security

Adjuster

• Handle complex auto damage claims using technical and industry knowledge
• Promptly and accurately settle claims
• Deliver excellent customer service
• Work in remote, field, or in-office settings as required
• Maintain applicable state and federal certifications and permits

Auto Damage Adjuster - Field

• Handle complex auto damage claims using technical and industry knowledge
• Promptly and accurately settle claims
• Deliver excellent customer service
• Work in the Killeen/Temple, Texas territory
• Flex between remote, field, and in-office work as required

Auto Damage Adjuster – Field

• Promptly and accurately settle auto damage claims
• Handle complex claims using technical and industry knowledge
• Deliver excellent customer service
• Work in the Central/South Austin, TX territory
• Flex between remote, field, and in-office work as required by the primary work location

General

• Inspect and assess vehicle damage
• Estimate vehicle repair costs
• Negotiate equitable settlements
• Partner with body shops, rental companies, and parts providers
• Consult with involved parties and review insurance contracts
• Inspect vehicles and write estimates
• Manage rental cars
• Resolve customer concerns and ensure a positive experience
• Drive customer satisfaction through meaningful interactions
• Complete required hands-on training at the Ashburn, VA training facility and field training center

Auto Damage Trainee – Field

• Inspect and assess vehicle damage
• Estimate vehicle repair costs
• Negotiate equitable settlements
• Partner with body shops, rental companies, and parts providers
• Consult with involved parties and review insurance contracts
• Inspect vehicles and write estimates
• Manage rental cars
• Resolve customer concerns
• Drive customer satisfaction through meaningful interactions
• Complete 3 weeks of required hands-on experience at GEICO’s Ashburn, VA training facility
• Complete 2 weeks in a field training center in NY, TX, or CA with mentors
• Serve the North Austin/Georgetown, TX field territory

• Handle complex auto damage claims using technical and industry knowledge
• Promptly and accurately settle claims
• Deliver excellent customer service
• Work in the North Austin/Georgetown, Texas territory
• Work remotely, in the field, or in an office as required by the position

• Lead and mature the enterprise cybersecurity governance program
• Establish the operating model for policies, standards, control governance, cyber risk management and cyber assurance
• Partner with Cybersecurity, Technology, Legal, Privacy, Enterprise Risk and Internal Audit
• Translate regulatory and security requirements into actionable controls
• Establish governance forums, decision rights, roles, responsibilities, accountability and escalation paths
• Advise senior leaders on cybersecurity governance, regulatory obligations and material cyber risk
• Lead the cybersecurity policy, standard and control lifecycle from development through approval, publication and periodic refresh
• Identify systemic control failures, determine root causes and drive enterprise-level remediation
• Establish control ownership, design expectations, evidence requirements, effectiveness monitoring, deficiencies and remediation oversight
• Drive control rationalization and harmonization across regulatory frameworks
• Embed compliance requirements and automated controls into engineering workflows and the software development cycle
• Define cybersecurity governance KPIs, KRIs and compliance metrics
• Lead monthly and quarterly business reviews and provide executive-level insights and recommendations
• Maintain cyber risk records, escalate material exposure and oversee treatment commitments
• Set governance requirements and priorities for continuous compliance monitoring and automation across multi-cloud and data center environments
• Manage all cyber issues to closure
• Build, mentor and lead a high-performing governance function
• Lead priorities, resource planning, change adoption and performance management
• Influence cross-functional stakeholders and lead complex discussions to resolution

Senior Manager, Cybersecurity Governance – Assurance

Full-stack Engineer

• Own the strategy, architecture, and engineering of GEICO's System Catalog and Configuration Management Database (CMDB)
• Develop and drive the overall System Catalog and CMDB strategy
• Provide thought leadership in configuration management, service cataloging, and data governance
• Define and own the configuration data model, including classes, attributes, relationships, and dependency mappings
• Establish and enforce CMDB data governance, CI lifecycle management, ownership, reconciliation rules, and data-quality standards
• Lead the design and architecture of resilient, scalable catalog and CMDB systems across on-premises and cloud environments
• Design and implement automated discovery and service mapping across hybrid and multi-cloud environments
• Evaluate, select, and implement technologies and tools to enhance catalog and CMDB capabilities
• Collaborate with executive leadership, IT teams, engineers, product teams, and stakeholders
• Communicate the value of accurate configuration data and foster ownership
• Mentor and coach engineers and the product community
• Influence and educate executives
• Analyze costs, forecast, support resource requirements, and measure outcomes
• Innovate, build new systems, improve existing systems, and identify opportunities to solve critical problems

Staff Software Engineer

Machine Learning Engineer

• Design, implement, and deploy machine learning models and features for predictive analytics, automation, and decision support
• Manage the complete ML lifecycle: data ingestion, feature engineering, training, evaluation, deployment, monitoring, and retraining
• Advance model performance, reliability, and interpretability in production environments
• Develop scalable batch and real-time pipelines for high-throughput AI workflows and applications
• Optimize ML serving systems for speed, reliability, and cost-effectiveness
• Collaborate with platform teams to enhance feature stores, model registries, and deployment infrastructure
• Author high-quality, well-tested, maintainable Python and/or Java code
• Contribute to shared ML frameworks, tooling, and engineering best practices
• Engage in architecture discussions, design reviews, and technical roadmap development
• Mentor junior engineers through code reviews, guidance, and technical leadership
• Collaborate with data scientists, software engineers, operations, and product teams
• Translate complex business and technical challenges into actionable ML solutions
• Ensure ML systems meet standards for monitoring, alerting, security, privacy, and compliance
• Support incident response and maintain production reliability
• Contribute to model governance, explainability, and responsible AI practices

Senior Machine Learning Engineer

• Design and implement machine learning models, services, and components for real-world business problems
• Write production-grade code for ML models as services and APIs
• Collaborate with product, data engineering, and software development teams to integrate ML solutions into production
• Build and maintain scalable data processing workflows and model deployment infrastructure
• Debug and resolve model performance issues, track metrics, and implement continuous improvements
• Apply modern ML, generative AI, LLM, agentic workflow, and AI engineering tooling
• Lead complex machine learning solutions across business units
• Architect and develop infrastructure for automated model training, hyperparameter tuning, and deployment
• Mentor and guide junior engineers
• Own end-to-end model monitoring, maintenance, and retraining systems

Senior Quality Assurance Engineer – Billing Platform

Business Intelligence Analyst

Supervisor, Sports Marketing

Analyst Internship – Actuarial

Senior Manager, Workday HCM Integrations, Security

Auto Damage Adjuster - Field

Auto Damage Adjuster – Field

Auto Damage Adjuster – Field

Auto Damage Trainee – Field

Auto Damage Trainee – Field

Auto Damage Adjuster – Field

Senior Manager, Cybersecurity Governance – Assurance

Staff Software Engineer

Senior Machine Learning Engineer

Machine Learning Engineer, Document & Vision Intelligence