Guidewire Software

Data Analyst

• Participate in multiple simultaneous projects with a focus on preparing and understanding data needed for predictive modeling and machine learning projects. Includes: Data interrogation, exploratory data analysis, profiling, and reconciliation
• Dataset creation and revision based on product manager and data scientist/actuarial input
• Data harmonization across multiple customers
• Feature creation and initial testing
• Data reporting
• Work collaboratively with other staff including product managers, data scientists, other data analysts, architects to solve problems, develop innovative approaches, and provide project status
• Research data issues and drive understanding of how data is created and updated from both ClaimCenter and PolicyCenter configurations.
• Create and manage data assets, data harmonization, and code with a focus on simplicity, scalability, reusability, and clear documentation
• Additional work assignments not related to specific project work such as new feature development, external data research, providing user feedback on new products and tools under development

People Operations

• Support day-to-day talent-related initiatives across the G+A team
• Lead small change initiatives and team-level organizational changes (e.g., minor restructures)
• Assist with the annual compensation planning and performance review processes by organizing data for calibration meetings and supporting the tracking of employee performance and development throughout the year.
• Support headcount planning by preparing data to inform workforce planning and organizational design decisions.
• Use basic tools and frameworks to help solve problems and support decision-making
• Help connect talent initiatives to business outcomes by supporting development planning, tracking progress on team goals, and assisting with programs that build the skills needed to meet evolving business needs
• Support stakeholder relationships by following through on tasks and offering guidance where appropriate
• Use data-driven diagnostic tools to support teams and inform people decisions
• Partner with the People Relations team to help ensure policies are applied fairly and consistently
• Begin using storytelling and data to communicate ideas (with guidance and practice)
• Gather and analyze people-related data to build quarterly reports that provide insights and support decision-making for the G+A team.
• Adapt to change with support and manage ambiguity in tasks and processes
• Demonstrate empathy, resolve conflicts constructively, and engage openly with team members
• Build initial credibility through consistency, ethical awareness, and follow-through
• Support and guide new leaders, offering foundational HR insights
• Integrate AI tools into daily HR work to streamline processes, enhance decision-making, and support talent programs; actively explore how AI can improve the employee experience and operational effectiveness

Associate People Business Partner

Security Engineer

• Reporting within the Information Security Services department, you will be responsible for the secure architecture of the cloud platform, products and customer facing services.
• Develop technology roadmap, architecture and implement security and compliance for the Guidewire enterprise.
• Collaborate with cross functional teams to architect various security controls such and translate them for engineering implementation.
• Collaborate with Open Source communities, Product Development, Professional Services, Cloud Operations, and Business Technology and provide technical leadership to develop and maintain compliance.
• Evangelize security best practices across Guidewire. Create security metrics and work with the teams to achieve the same.
• Provide insight and recommendations on remediation strategies for security issues.
• Own security architecture and provide technical guidance to multiple teams. Ensure confidentiality, integrity, and availability within the design of architected solution. Ensure High Availability (HA) and Disaster Recovery (DR) are designed as part of relevant system/services.
• Build and lead a high performance team. Mentor others in security best practices.
• What you would need to succeed Prior deep software security experience and passion for building secure platforms and customer facing solutions. In-depth knowledge and experience in software or product security engineering Emphasize team wins over individual success. Strong technical communication skills. Proven track record of architecting secure, compliant, cost-effective, and highly available solutions. Proven track record of designing solutions with security in-depth solutions. 12+ years within Information Security Services designing, building, and maintaining secure, compliant, and cost-effective solutions. BS or MS degree (Computer Science or Math) Preferred, industry-based certifications such as CISSP, CISM, CISA, etc... Preferred technical certifications from cloud providers or security tool providers. Required Skills Design and develop security architectures for hybrid and multi-cloud based systems that comply with industry best practices In-depth knowledge on containers, data security, network security, control plane security and governance. Deep experience with security in cloud environments around GDPR/CCPA, federated security models and secrets management Understand security practices around the SSDLC process and tool sets such as CI/CD, SAST, DAST, pen tests, etc. Understand of relevant frameworks such as NIST, CIS, etc... Understanding for regulatory requirements and controls such as GDPR, SOX, SOC II, etc... Expertise in crypto standards, methods, and management Expertise in authentication protocols and authorization standards e.g SSL/TLS, SAML, OAuth, JWT, OPA) Expertise in Identity and Access Management practices, controls and tool sets. Experience in Security Operations practices, controls, and tools sets. Understand Microservice security architecture (AuthN, AuthZ architecture and user/service interaction model) Prior experience of building and securing large scale distributed systems on AWS, GCP, Azure, or On prem. Expertise in AWS infrastructure and concepts such as VPC, subnets, security groups, S3, RDS, EC2, Glacier, Lambda, IAM, security, encryption, DevOps, replication and disaster recovery Eager to learn new things and passionate about technology Prior experience handling multiple clusters and effectively managing multiple tenants in these clusters providing good governance and isolation, explain to prospective clients the cloud security model

Product Security Engineer

Product Manager

• Our Underwriting Solutions guild is taking a bold step forward: we are building Guidewire’s first AI‑native application from the ground up; a fully digital submission state machine that carries risks seamlessly from new to renewal with unmatched speed, accuracy, and minimal human touchpoints.\n• This initiative leverages every component in our cloud and AI platform and aims at leveraging the latest technology to provide the backbone and flexibility insurers need to digitize their processes and design e2e underwriting workflows.\n• To help us deliver on this vision, we are looking for a Product Manager (PM or Sr PM, depending on experience) who can bring hands on, technically fluent leadership across data science best practices around data ingestion, extraction, risk assessment and platform integration.\n• What we value: Growth mindset and curiosity - you ask “why” until the root cause and problem statement are clear and you are eager to explore emerging ML and LLM methods to disrupt the current status quo.\n• Hands on problem solver – When issues arise, you partner with the pod to debug rather than merely escalate.\n• Technical fluency - you are comfortable white boarding user flows, detailing the jobs to be done as well as having a microservices mentality and knowledge of available platform components we can build an app with.\n• Business Empathy – You can explain complex model trade‑offs as it relates to user and business needs and you are naturally curious to engage with customers and gather feedback on solutions.\n• Adaptive Tenacity - You thrive in ambiguity and can chart a path forward under any circumstance.\n• Job Description Key Responsibilities Customer discovery and research: Customer first and research mentality where you will work closely with underwriters and UX/Research to uncover high-impact problems and frame scalable solutions ensuring our solutions solve real UW pain points and bring in that knowledge into our development and ML teams for design and prioritization.\n• Data science and AI expertise: Bring hands‑on expertise in ML, LLMs, prompt design, retrieval‑augmented generation, design AI agents per use case and LOB tasks, evaluation loops and guide the ML team in selecting models, tuning workflows, and measuring performance to improve performance.\n• Delivery and execution: partner closely with engineering pods on the day to day execution of prompt design, ingestion workflows and extraction capabilities across file types (xls, csv, pdfs, ACORD forms, slips, etc).\n• Drive the development of products and solutions that make this data easily consumable by other agents deployed in other areas of the UW solutions application focusing on enabling consumption and seamless automation of this data with other downstream products.\n• Metrics and iteration: define evaluation frameworks across tools. Champion rapid experimentation when results fall short and communicate KPIs broadly across teams as well as leanings that may help other teams as well as developing a framework for measuring usability and success of each feature released to customers that can be tied to value.\n• Platform translation: Become deeply fluent in Platform building blocks and act as the translation between technical teams and business stakeholders, ensuring every feature advances our vision and delivers customer value.

Data Analyst

Associate People Business Partner

Product Security Engineer

Product Manager- GenAI & ML/AI