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
• 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.

Full-stack Engineer

• Hands-on coding and implementation of high-performance data processing applications
• Designing and optimizing Spark applications
• Design cloud-native data platform and analytics SaaS services
• Own architecture and provide technical leadership to multiple teams
• Design and build large-scale real-time stream processing systems
• Design and develop micro-services and analytics SaaS solutions
• Own scalability, availability, and data security
• Mentor junior developers in standards and best practices

Senior Software Engineer – Data

Consultant

• Lead, support, and advise on business optimization engagements for Guidewire's customers.
• Conduct business optimization assessments and provide recommendations.
• Offer product demonstrations to drive feature adoption.
• Manage and nurture customer relationships during cloud transitions.

Consultant, Account Advisory

Customer Success Manager

• Develop strategic account plans that expand the relationship and promote growth
• Drive cross-functional collaboration to accelerate adoption and value of current and future solutions
• Identify and pursue expansion opportunities aligned to customer goals
• Create trusted partnerships that result in engaged, customer advocates
• Lead executive level engagements focused on value creation
• Define and execute a renewal strategy that promotes growth and mitigates risk
• Promote operational excellence in portfolio, account and team management
• Develop depth and breadth of relationship within portfolio of customers, from C-level to IT and business users
• Understand customer priorities and identify common themes to report out and action

Senior Customer Success Manager – AMER/WEST

• Develop strategic account plans that expand the relationship and promote growth
• Drive cross-functional collaboration to accelerate adoption and value of current and future solutions
• Identify and pursue expansion opportunities aligned to customer goals
• Create trusted partnerships that result in engaged, customer advocates
• Lead executive level engagements focused on value creation
• Define and execute a renewal strategy that promotes growth and mitigates risk
• Promote operational excellence in portfolio, account and team management
• Develop depth and breadth of relationship within portfolio of customers, from C-level to IT and business users
• Understand customer priorities and identify common themes to report out and action
• Recognize incremental sales opportunities across Guidewire solutions and partner with sales to ensure the customer objectives and value proposition are at the forefront
• Develop strong partnerships by providing positive customer experiences that drive mutual success and creates customer advocates
• Engage with customers to develop deep understanding of customer’s product experience and strategic business needs
• Know the customer “inside and out” and foster positive relationships with key customer stakeholders at senior and C-Suite level
• Serve as the voice of the customer and customer advocate to facilitate feedback and influence on Guidewire products and services
• Provide early insight and adoption recommendations for new products and product features
• Coach and mentor other CMSs in developing the Customer Success Craft and engagement in both Guidewire and Customer Community.
• Encourage adoption of Guidewire solutions to help customers achieve their business goals and maximize the value of their investments
• Take the lead in driving to a successful conclusion any customer issues or situations, involving other departments and individuals as necessary
• Create and manage customer success plans and account plans to manage external and internal relationships and strategies
• Facilitate executive discussions including business reviews, roadmap reviews, and strategic alignment
• Develop a deep and cross-functional understanding of the key business challenges and opportunities of your customers and portfolio
• Introduce new features and best practices to customers according to their business needs
• Ensure visibility of program and customer health both internally and with customer teams
• Manage commercial aspects of account relationships post initial sale, including defining a renewal strategy that promotes growth and mitigates risks
• Execute and manage contract negotiations and renewals
• Leverage Executive leadership and communication experience, with ability to define a vision, build a persuasive business case, establish personal credibility, resolve conflict and engender honest feedback and appraisal.

Senior Customer Success Manager – AMER/EAST

Accountant

• Perform daily activities related to the review and approval of purchase requisitions and invoices
• Perform general ledger functions including amortization for prepaids, leases, intangibles, various accruals
• Execute monthly accounting close activities, including preparing journal entries and account reconciliations
• Prepare balance sheet account reconciliations and account flux analysis specific to your areas
• Partner with facilities and technical accounting team on managing lease in Costar and record lease entries accordance with ASC 842
• Assist management on audit request and responses to inquiries from internal and external auditors

Senior Accountant

• Develop strategic account plans that expand the relationship and promote growth
• Drive cross-functional collaboration to accelerate adoption and value of current and future solutions
• Identify and pursue expansion opportunities aligned to customer goals
• Create trusted partnerships that result in engaged, customer advocates
• Manage commercial aspects of account relationships post initial sale, including defining a renewal strategy that promotes growth and mitigates risks
• Executive leadership and communication experience, with ability to define a vision, build a persuasive business case, establish personal credibility, resolve conflict and engender honest feedback and appraisal

Product Manager

• Design and architect technical solutions that automate the integration of partner technologies with core platforms
• Collaborate with internal and external solution architecture teams to develop joint technical roadmaps and implementation strategies
• Lead technical feasibility assessments and proof-of-concept development for new Marketplace initiatives as they relate to the platform
• Provide technical guidance and oversight for complex integration projects and development teams
• Identify and evaluate new technology partnership opportunities to drive the Marketplace roadmap and platform
• Collaborate with Product Management to ensure successful implementation and delivery of packaging and deployment technologies to the Marketplace platform
• Monitor and report on technical project milestones and deliverables

Marketplace Platform Product Manager

Sales

• Oversee and expand ISV reseller channel for HazardHub API
• Recruit, enable, and co-sell with partners to drive revenue growth
• Develop strong relationships with existing ISV resellers
• Track and analyze key performance indicators of the reseller channel

Channel Sales Manager, ISV Partners

Machine Learning Engineer

• Be part of a cross-functional team implementing analytic solutions
• Primary stakeholder and key developer for data, ML and data science workflows
• Design, build and test AI/ML infrastructure
• Accelerate data science teams by building automated workflows and tooling solutions
• Collaborate and lead engagement between cross-departmental teams

Senior/Staff Machine Learning Engineer

• Build an integrated, scalable, secure, and robust Analytics Platform to enable internal teams and customers to leverage data for insights, decision making and innovation.
• Architect and develop high-quality data assets for both product and AI/ML use cases.
• Design and implement scalable data pipelines to enable self-service analytics, feature engineering and ML driven insights.
• Develop data transformations and establish robust data models, ensuring high data quality and performance.
• Implement DataOps best practices, including CI/CD pipelines for analytics, ensuring data reliability through automated testing and documentation.
• Ensure compliance with evolving data protection regulations, maintaining data security and privacy.
• Mentor team members to enhance their skills and improve team performance.
• Promote trust in data quality and implement tools to meet regulatory and business needs.
• Present deep dives on both technical and product-related aspects to stakeholders.

Senior Software Engineer, Analytics

Platform Engineer

• Function as a primary contact to research, address, and promptly fulfill requests and resolve cases in adherence to team standards
• Document and maintain technical articles, troubleshooting guides, knowledge base articles, and runbooks
• Collaborate with cross-functional teams on complex issues involving system integration and custom configurations
• Develop and maintain in-depth knowledge of the platform through company-sponsored training and experience
• Contribute to an environment that encourages information sharing, team-based resolution activity, and cross-training
• Develop and maintain strong relationships with customers and stakeholders, acting as a trusted advisor and technical point of contact
• Provide 24x7 service to customers using Guidewire Cloud as part of the Product Development Operations (PDO) organization

Cloud Platform Support Engineer III

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

• 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

• 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.

Product Manager- GenAI & ML/AI

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

Data Analyst

Senior Software Engineer – Data

Consultant, Account Advisory

Senior Customer Success Manager – AMER/WEST

Senior Customer Success Manager – AMER/EAST

Senior Accountant

Customer Success Manager

Marketplace Platform Product Manager

Channel Sales Manager, ISV Partners

Senior/Staff Machine Learning Engineer

Senior Software Engineer, Analytics

Cloud Platform Support Engineer III

Associate People Business Partner

Data Analyst

Product Manager- GenAI & ML/AI

Product Security Engineer