The role involves designing and developing business intelligence solutions, preparing reports, creating dashboards, and collaborating with stakeholders to enhance data processes and reporting quality, particularly in the context of information security.

The Title Officer examines title orders, analyzes legal records, resolves title issues, and communicates with clients and third parties to ensure title insurability before closing.

The Associate Production Support Analyst provides support for escrow transactions, ensuring exceptional customer service and troubleshooting issues through various communication platforms.

The Sales Engineer supports the sales team by consulting on data assets, delivering presentations, and collaborating on deal progression and strategic planning to ensure client satisfaction and revenue growth.

Provide administrative support to a department, including correspondence, data compilation, report preparation, and appointment scheduling.

Support development and execution of enterprise disaster recovery program: conduct risk assessments, define RTOs/RPOs, coordinate DR testing and remediation, maintain DR documentation, track KPIs, ensure regulatory alignment, and collaborate cross-functionally to improve resilience.

The Sr. Commercial Title Examiner performs title searches, analyzes records for commercial transactions, and coordinates the title process, requiring expertise and attention to detail.

As a Senior HR Business Partner, you will advise business partners on people management and develop HR strategies, focusing on employee engagement and organizational design while coaching senior leaders.

The Data Engineer will design and build identity data integrations and pipelines, ensuring data accuracy and supporting IAM processes and compliance efforts.

Participate in a software engineering internship implementing and launching features with cross-functional teams. Write high-quality code, tests, and documentation, follow engineering best practices, and gain hands-on experience with modern web, cloud, and DevOps technologies while being mentored.

Support product managers by conducting stakeholder interviews and research, analyzing product data, assisting product support and development cycles, collaborating with cross-functional teams, and helping plan go-to-market activities and user feedback collection during an 8–10 week full-time internship.

The intern will assist with community outreach initiatives, research, communications, and provide administrative support to the Public Affairs team.

Lead regional escrow operations across multiple Southern California offices, ensuring compliance, operational efficiency, and service quality. Develop and execute operational strategy, optimize processes, manage multi-office teams, monitor KPIs and financial performance, and partner with Sales to support market growth.

The Engineering Manager leads a cross-functional team, ensuring timely delivery of high-quality software solutions, mentoring staff, and managing projects effectively.

Summer internship building data science solutions: develop scripts and automated experiment tracking, perform clustering analyses, leverage generative AI and classical ML for document extraction/classification, collaborate with data engineering to build event-driven datasets, and create benchmarking/"golden" datasets.

The Group Product Manager will lead strategy and execution of title data products, focusing on improving accuracy and operational efficiency while mentoring a product team.

The intern will gain practical experience in Real Estate Law, conduct legal research, analyze issues, review policy forms, and shadow underwriters while developing professional skills.

As a Data Science Intern, you will perform exploratory analysis, develop models, and collaborate with experts in data analytics and software development.

The intern will conduct legal research, analyze real estate law issues, and support underwriting decisions in a corporate environment, gaining practical experience in the title insurance industry.

Design and deploy machine learning systems, focusing on LLMs and optimizing them for production. Engage in ML operations and build end-to-end pipelines for scalable solutions.