Guidewire Software

Human Resources

• Provide functional and technical leadership in the development, optimization, and support of people systems
• Serve as the primary owner of Workday and all downstream integrations
• Lead cross-functional Workday projects
• Implement secure and scalable solutions aligned with systems best practices
• Drive Workday tenant management
• Lead the design and delivery of AI-enabled employee experience solutions
• Collaborate with internal partners to optimize employee lifecycle processes
• Train, guide, and actively share knowledge across team members

Manager, Employee Experience Technology

Project Manager

• Manage and implement the localization of website content within a content management system across multiple languages, operating established translation workflows from intake through delivery and publication
• Design, document, and evolve repeatable translation workflows for web content and other priority assets that focus on quality, clarity, and consistency
• Serve as the primary point of contact for web and other content translation projects, ensuring content stakeholders understand timelines, requirements, and quality expectations
• Track project timelines, dependencies, and risks, and proactively communicate status, blockers, and decisions needed to keep work moving
• Ensure translated content moves through defined review and approval processes and meets agreed-upon quality standards prior to publication
• Collaborate as part of the Web Strategy Team to ensure translated content aligns with design, UX, and publishing requirements
• Collaborate as part of the Marketing Team to ensure translated content aligns with company goals and priorities, as well as Guidewire brand standards
• Use AI-assisted translation tools as accelerators where appropriate, and participate in evolving AI-assisted translation approaches over time
• Identify gaps, inefficiencies, or risks in the translation process and propose practical, solutions-driven improvements
• Manage translation projects as identified by Marketing leadership

Translation Project Manager

Learning and Development

• Lead the development of a learning content strategy for a product or topic area
• Collaborate with stakeholders to understand product direction and translate them into actionable and impactful content plans
• Lead the learning design effort for applications and services for a specific topic area
• Prepare realistic content plans collaboratively with other content creators, track activities against the project schedule, and suggest viable options when demand exceeds capacity
• Design and implement scalable and flexible content that can be reused
• Determine the 'right content to build' including delivery method and effort, based on competency requirements in alignment with stakeholder guidance
• Develop curriculum for one or more applications and services while following instructional design best practices and department standards
• Design and develop a variety of learning materials, including interactive tutorials/practical labs, videos, assessments, micro-learning modules, and e-learning courses tailored for diverse user needs and technical levels
• Collaborate closely with cross-functional teams to ensure content aligns with brand standards and visual experience goals
• Conduct regular audits to identify and address content gaps or inconsistencies
• Provide guidance to junior instructional designers, ensuring best practices are followed in learning experience design and development

Lead Instructional Designer

Data Engineer

• Architect, automate, and maintain production-grade data infrastructure on AWS (e.g., S3, EMR, Glue, Lambda, Redshift) using Terraform or CDK, with a focus on high availability, security, and consistent environments across the SDLC.
• Integrate Claude Code and other LLM-based agents into the engineering workflow to accelerate infrastructure provisioning, refactoring, and generation of technical documentation, embedding AI into daily development practices.
• Design, build, and optimize CI/CD pipelines that test, deploy, and monitor dbt models and AWS Glue/Spark jobs, ensuring reliable, repeatable delivery of governed data assets.
• Implement agentic operations for DataOps—configuring AI agents to triage and perform root-cause analysis of pipeline failures, surface cost-optimization signals, and proactively detect schema drift or data quality regressions.
• Engineer scalable, well-governed data pipelines and tables using Apache Iceberg, Airflow (MWAA), and Redshift, emphasizing simplicity, reusability, and clear ownership of data products.
• Operationalize security and compliance best practices in a regulated insurance environment, including IAM automation, encryption, audit-ready logging, and alignment with enterprise RBAC/MFA standards.
• Partner with Product Strategy, PDO, and data science teams to ensure data platforms and features can support AI-heavy products like the Agentic AI Platform, Claim Summary, and Underwriting Assistant at scale.

Data Engineer – DataOps, Infrastructure Focus

Communications

• build and refine the customer impact communications strategy
• supports the communication intake process
• conduct the Impact Assessment for assigned communications
• develops and delivers communication regarding highly confidential security communications
• finalizes content for customer messaging
• manages customer acknowledgement tracking of critical communications
• supports internal enablement activities alongside Guidewire teams
• partners with the Readiness organization for appropriate communication

Customer Impact Communications Specialist

Product Manager

• Assess products and workflows to identify high-impact opportunities for AI-enabled processes
• Partner with PMs to "AI-enable" their roadmaps
• Run lean experiments and evaluations to prove value before scaling
• Triage user feedback, reproduce issues, and maintain a high standard of backlog hygiene
• Help shape the future of the product and set industry standards for AI application

Senior Product Manager, AI Strategy – Integration

Full-stack Engineer

• Work with a team of developers to build and enhance the AI chatbot experience for product documentation, from architecture and prototyping through deployment and iteration.
• Design, build, and deploy LLM‑powered conversational experiences, including prompt orchestration, tool use, and guardrails.
• Develop and operate an MCP server and related tooling that securely exposes documentation, metadata, and internal services as tools/functions for LLMs.
• Integrate AI services with our documentation portal, web applications, and backend systems.
• Build and maintain ingestion and retrieval pipelines for documentation content (for example, Markdown, DITA, XML, HTML, PDF) to ensure reliable grounding, relevance, and freshness.
• Integrate AI services with our documentation portal, web applications, and backend systems.
• Develop and maintain APIs and backend services with attention to performance, reliability, and observability.
• Design and run evaluation, A/B tests, and telemetry-driven experiments to measure and improve chatbot and content quality, safety, and user experience.
• Partner closely with UX and Documentation teams to craft intuitive, trustworthy conversational experiences.
• Build and enhance tools and automation that improve content creator workflows and publishing performance.
• Contribute across the stack—frontend, backend, and DevOps—to deliver end‑to‑end solutions, working in a modern CI/CD environment.

Software Engineer – Generative AI, Documentation Platform

Product Marketing

• accountable for the functional onboarding program for the Customer Success organization, including design and delivery of an effective self-study curricula program for each templated role
• maintain the Customer Success program currency, ensuring programs are regularly enhanced, communicated and measured against business expectations
• assess ongoing feedback to ensure programs are continually enhanced
• responsible for delivery of the Sales / Adoption methodology (Challenger or otherwise defined) for the entire Field organization
• organize ongoing learning experiences and recertifications across the field organization to assess skills as required
• partner with the Sales / Adoption Business Partner to ensure delivery aligns with other in-person learning events
• ensure all projects are appropriately managed using readiness methodology, including completion of needs assessments, training / readiness plans, and curation / development of content
• partner with the business for sign-off on plan, content and outcome measurement
• tracks program success based on business performance, usefulness, and completion rates
• support the overall readiness transformation program, aimed at migrating away from a push strategy to a pull strategy, utilizing AI capabilities to provide content in context.

Senior Program Owner, GTM Capabilities – Customer Success

AI Engineer

• Define and drive the architecture for complex agentic flows
• Work closely with subject matter experts on insurance logic and agentic reasoning
• Design and oversee high-fidelity prototypes for validating business relevance
• Set standards for evaluating agentic behavior and build rigorous testing frameworks
• Implement monitoring and tracing for decision-making processes
• Collaborate with engineering to build necessary infrastructure
• Conduct research into agentic AI patterns
• Mentor engineers on agentic design patterns

Senior AI Engineer

• Design, build, and maintain scalable microservices and APIs that power AI capabilities across core solutions and offerings.
• Develop Generative AI pipelines using frameworks such as LangChain, LlamaIndex, and MCP-based integrations to enable context-aware reasoning and action orchestration.
• Collaborate with ML engineers and data scientists to integrate and operationalize models from providers like OpenAI and Anthropic.
• Design and deploy ML models that drive predictive insights, anomaly detection, and automated decision-making.
• Design and extend MCP servers to define, expose, and manage tools accessible to LLMs.
• Implement continuous evaluation and retraining workflows to ensure models remain accurate and relevant as business data evolves.
• Work closely with platform teams to align ML and GenAI components with enterprise standards for security, reliability, and performance.
• Ensure scalability, performance, and security of AI workloads in multi-tenant cloud environments (AWS, Kubernetes).
• Participate in architecture reviews and define MCP-compliant interfaces for consistent, safe model–tool interactions.

Software Engineer III – AI/ML

Machine Learning Engineer

• deliver AI/ML models from initial planning through to deployment
• create AI-based prototypes to evaluate model and design options
• train and tune models to optimize algorithmic outcomes
• integrate models into production systems
• conduct research into emerging AI models and technologies
• support operational excellence and customer-centricity

Staff Machine Learning Engineer

• Define and refine the Guidewire AI story
• Lead audience-specific narratives and competitive positioning
• Create high-credibility assets such as whitepapers and executive decks
• Partner with Product Management and Engineering to enable customer-facing teams

Technical Product Marketing – Principal, AI/ML

Community Manager

• Partnership Development: Identify, evaluate, and establish partnerships that deliver the most value to the ecosystem.
• Community Engagement: Actively engage with community members through various channels, including social media, forums, events, quarterly cadence calls and online platforms.
• Content Creation: Develop and curate compelling content that resonates with the community, sparks conversations, and encourages participation.
• Relationship Building: Build and maintain strong relationships with community members, influencers, and key stakeholders.
• Community Growth: Implement strategies to vet new insurtechs to the community and increase overall engagement.
• Event Planning: Organize and manage online and offline events that bring the community together and foster a sense of belonging.
• Community Feedback: Gather and analyze feedback from the community to identify areas for improvement and inform business decisions.
• Metrics Tracking: Monitor and track key community metrics to measure the effectiveness of community initiatives and identify trends.

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
• 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.