GEICO

Claims Specialist

• Provide customer service to our policyholders
• Assure coverage for each loss and policy provisions
• Investigate all aspects of the claim to determine liability
• Identify and evaluate claims indicators of fraud
• Utilize claims tools to evaluate liability and damages
• Negotiate claims settlements with insureds, claimants and/or attorneys
• Authorize negotiated payment for established damages
• Ensure all compliance requirements are met
• Adjust reserves on all new and existing claims
• Communicate findings to claims management team

Casualty Claims Examiner

General Counsel

• Provide counsel and advice on proactively preventing employment and labor law risk and driving enterprise-side compliance with state, local and federal workplace laws and requirements, including EEO, leave and accommodations, health and safety, employee benefits, wage and hour, and immigration laws
• Partner closely with internal stakeholders within the People Group and elsewhere on responding to and resolving internal escalations and issues affecting employees
• Manage and respond to attorney demand letters and other external (pre-suit) escalations
• Partner with key stakeholders on building best-in-class processes for ensuring proper and consistent application of Company policies, processes and procedures across the associate lifecycle
• Conduct research as needed to provide relevant advice
• Proactively monitor legislation, regulations, and emerging trends in labor and employment law

Senior Counsel, Employment Law

Backend Engineer

• Focus on multiple areas and provide leadership to the engineering teams
• Own complete solution across its entire life cycle
• Partners with engineering teams, data scientists, and product leaders to design, build, and scale AI-powered capabilities that automate workflows, improve decision-making, and elevate user experience.
• You will also mentor engineers who want to learn AI, LLMs, and agent-based development, fostering a culture of learning, curiosity, and innovation.
• Use knowledge graphs to enhance reasoning, entity relationships, context retrieval, and multi-step workflows.
• Drive innovation by exploring new models, frameworks, and reasoning techniques and applying them creatively to real-world challenges.
• Lead through technical influence by providing guidance on architecture, experimentation, and deployment across multiple teams.
• Run rigorous experimentation and evaluation including hypothesis definition, measurement, validation, and iterative improvement in production environments.
• Establish and model engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems.
• Influence and build vision with product managers, team members, customers, and other engineering teams to solve complex problems for building enterprise-class business applications
• Accountable for the quality, usability, and performance of the solutions
• Lead in design sessions and code reviews to elevate the quality of engineering across the organization.
• Utilize programming languages like Python, C# or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services.
• Mentor more junior team members professionally to help them realize their full potential.
• Consistently share best practices and improve processes within and across teams.

Staff Engineer – .NET

Machine Learning Engineer

• Contribute to the design, development and maintenance of high-performance AI solutions that utilize agentic workflows to deliver concrete business value for internal stakeholders.
• Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, help define project scope and prioritize feature backlogs.
• Execute pragmatic technical visions & roadmaps that balance business outcomes, product release timelines and engineering excellence.
• Integrate and build solutions using GEICO AI platform architecture.
• Partner with platform teams to communicate requirements, understand current capabilities and gaps, and contribute to platform development.
• Work on first-of-its-kind solutions within GEICO, with a deep understanding of business and technical processes, applications, and architecture to guide development.
• Participate in project planning and stakeholder management, ensuring the efficient allocation of resources and timely delivery of solutions.
• Mentor and guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture.

Senior Machine Learning Engineer

• Develop and integrate back‑end services using languages such as Java, C#, or Go, including building and consuming extensible REST APIs
• Build modern, user‑friendly interfaces using React and JavaScript/TypeScript, translating workflows into functional UI (not design‑only work)
• Scope, design, and build end‑to‑end internal applications that include front‑end, back‑end, and data components
• Collaborate cross‑functionally throughout the software lifecycle: discovery, design, implementation, testing, release, and support
• Participate in design sessions and code reviews to elevate quality, maintainability, and shared engineering standards
• Utilize developer tooling across the SDLC including Azure DevOps (ADO) (work item structure, planning, repos, and delivery practices) and contribute to improving how work is tracked and delivered
• Contribute to systems thinking and technical best practices: architecture patterns, reliability, performance, security, and scalability
• Where appropriate, contribute to integration and enablement work that connects internal applications with existing collaboration and platform ecosystems (e.g., communications platforms, meeting experiences, or operational tooling)
• Support continuous improvement through documentation, process refinement, and proactive identification of opportunities (technical debt reduction, automation, and quality improvements)
• Apply analysis and estimation skills to support planning, prioritization, and execution

Full-Stack Developer, Java, React, Microservices

• Advise and support HR investigators on formulating investigation plans, identifying relevant evidence, and making factual findings.
• Review and provide feedback on investigation reports and ensure conclusions are legally sound and factually supported.
• Advise on proposed remediation, disciplinary actions, or corrective measures based on investigation outcomes.
• Serve as a dedicated resource and conduct training for HR investigation teams on conducting investigations in compliance with legal requirements and best practices.
• Prepare HR investigation training materials, toolkits and templates to help improve internal reporting and documentation and mitigate legal risk.
• Conduct independent, prompt, and thorough investigations into complex or high-risk workplace complaints and policy violations.
• Investigate and respond to administrative agency charges, draft position statements, and manage related investigations.

Legal Counsel – HR Investigations

Digital Marketing

• Execute and oversee paid media campaigns end-to-end across paid search, paid social, display, and programmatic channels.
• Translate high-level paid media strategies into actionable plans for agency partners.
• Manage day-to-day relationships with media partners, ensuring alignment on objectives, campaign execution, deliverables, and compliance with BoatUS brand standards.
• Coordinate campaign launches with internal teams and external vendors, ensuring seamless workflows and accountability.
• Oversee budget pacing, reallocations, and reporting to maintain efficiency and prevent overspend.
• Own the execution and oversight of traditional and digital media buys, including placement strategy, budget stewardship, and performance evaluation.
• Monitor KPIs across all paid channels, providing timely updates and actionable recommendations to internal teams and leadership.
• Collaborate cross-functionally with internal BoatUS teams, including SEO, Email, Partnerships, and Creative to ensure integrated, consistent, and timely execution of marketing initiatives across channels.
• Lead end-to-end execution of Direct Mail drops: audience/list coordination, vendor processing instructions, quality checks, and deployment readiness.

Digital Marketing Program Lead

• Design and Develop Systems: Architect, develop, and maintain scalable, resilient distributed systems.
• Define Product Requirements: Collaborate with stakeholders to define product requirements and deliver optimal solutions.
• Collaborate Across Teams: Work with cross-functional teams throughout the software development lifecycle to ensure seamless integration and delivery.
• Lead and Mentor: Conduct design sessions, code reviews, and mentor junior engineers to elevate engineering quality and share best practices.
• Develop Reusable Components: Create reusable application components and patterns to improve efficiency and scalability.
• Full-Stack Development: Design, develop, and maintain scalable full-stack applications, including front-end features using ReactJS and its ecosystem (e.g., Redux, Hooks), backend services with .NET or Java frameworks, and efficient data management using SQL and NoSQL databases.
• API and Microservices: Develop and integrate RESTful APIs and microservices for seamless communication between systems.
• DevOps Practices: Utilize CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes) to streamline development and deployment.
• Documentation: Publish and maintain documentation for design references, workflows, and runbooks.
• System Support: Provide support for critical systems, including 24x7 on-call support when necessary.

Senior Full Stack Engineer – .NET

Full-stack Engineer

• Scope, design, and build scalable, resilient distributed systems
• Build product definition and leverage your technical skills to drive towards the right solution. Engage in cross-functional collaboration throughout the entire software lifecycle
• Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization
• Define, create, and support reusable application components/patterns from a business and technology perspective
• Utilize programming languages like Java, C#, or other object-oriented languages, SQL, and NoSQL databases, event driven services including Kafka and Azure Service Bus, etc
• Utilize developer tooling and a variety of Azure tools and services across the software development life cycle (task management, source code, building, deployment, operations, real-time communication) to perform advanced-level Java application design, implementation, and maintenance activities under minimal direction
• Mentor other engineers
• Consistently share best practices and improve processes within and across teams

Senior Engineer – Customer Identity

• Scope, design, and build scalable, resilient distributed systems
• Utilize programming languages like Python, SQL, and NoSQL databases, along with Apache Spark for data processing, dbt for data transformation, container orchestration services such as Docker and Kubernetes, and various Azure tools and services
• Use your technical expertise to shape product definitions and drive towards optimal solutions
• Engage in cross-functional collaboration throughout the entire development lifecycle
• Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization
• Define, create, and support reusable data components and patterns that align with both business and technology requirements
• Build a world-class analytics platform to satisfy reporting needs
• Mentor other engineers
• Consistently share best practices and improve processes within and across teams

Senior Engineer – Data

Content Marketing Manager

• Leads the strategy and execution of key corporate initiative programs for both internal and external stakeholders
• Collaborates with business partners to research and translate complex concepts into well-crafted memorable content
• Builds communications and materials that meet specialized needs while ensuring a singular, compelling brand message across any medium
• Sets standards for overall tone, visual storytelling approaches, and campaigns to create engagement
• Provides servant-style leadership and timely direction with cross-functional partners
• Positions and optimizes resources and processes to deliver high-quality results
• Tracks and reports on progress of programs and campaigns
• Generates a steady supply of ideas to creatively meet business needs

Manager, Communications Strategy and Execution – Training Content

• Scope, design, and build scalable, resilient Data Lakehouse components
• Lead architecture sessions and reviews with peers and leadership
• Accountable for the quality, usability, and performance of the solutions
• Spearhead new software evaluations and innovate with new tooling
• Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning
• Collaborate with customers, team members, and other engineering teams to solve our toughest problems
• Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering community
• Consistently share best practices and improve processes within and across teams
• Share your passion for staying on top of the latest open-source projects, experimenting with, and learning recent technologies, participating in internal and external technology communities, and mentoring other members of the engineering community

Staff Software Engineer – Infrastructure, Data Lakehouse Platform

• Advise the claims organization on coverage issues, including interpretation of policy language and application to specific claims
• Manage and litigate coverage disputes, including declaratory judgment actions and appeals
• Provide legal guidance on bad faith and extra-contractual allegations related to coverage matters
• Conduct factual and legal research, draft coverage opinions, and develop in-house presentations on coverage topics
• Review documents and provide recommendations to Legal Department management

Coverage Counsel

Data Engineer

• Scope, design, and build scalable, resilient data pipelines (orchestration, transformation, delivery) that support analytics and downstream products.
• Use modern developer tooling effectively, including AI-assisted coding (e.g., Cursor, GitHub Copilot) to accelerate delivery while maintaining code review, testing, and governance (no secrets in prompts or code, repo-aligned patterns).
• Engage in cross-functional collaboration across the full data lifecycle with analysts, platform engineers, and product partners from requirements through production support.
• Participate in design sessions and code reviews with peers to improve correctness, performance, security, and operability of data systems.
• Define, create, and support reusable pipeline patterns and standards (e.g., layering, testing, incremental design, naming, documentation) from both business and technology perspectives.
• Leverage AI models to create SQL and Python, dbt (models, tests, macros, incremental strategies), Apache Airflow (DAGs, dependencies, backfill/retry patterns), cloud data warehouse platforms (e.g., Snowflake), and related integration patterns; then leverage their expertise to review and improve code quality.
• Execute delivery using an Agile methodology, continuous integration/continuous delivery, Infrastructure as Code where applicable, scripting for automation, platform consoles for warehouse and orchestration, and observability tooling (logging, metrics, alerting—for example dashboards and APM where used).
• Build pipeline definitions and apply strong technical judgment to choose and implement solutions that balance latency, cost, freshness, and reliability.
• Share best practices and improve processes within and across teams.

Engineer II – Data Engineer

Project Manager

• Coordinate end-to-end eDiscovery project workflows across active matters, ensuring deadlines are met and stakeholders are kept informed
• Issue, track, and manage legal holds in coordination with legal department personnel and cross-functional colleagues; follow up on custodian acknowledgments and escalate non-responses
• Assist with scoping and executing data collections from custodians and enterprise data sources
• Support review project setup and configuration, including coding panels, search term development, and reviewer guidance materials
• Coordinate production preparation and delivery, including specification review, QC of production sets, and logging of outgoing productions
• Maintain matter-level project documentation, including status trackers, collection logs, processing reports, production logs, and privilege logs
• Monitor and report on matter metrics, platform usage, and project costs; assist with vendor invoice review
• Contribute to the development and maintenance of SOPs, templates, and playbooks for repeatable eDiscovery workflows
• Partner with the Legal Technology team on enhancements, new tool evaluations, and integration initiatives as they affect eDiscovery operations