Origami Risk

• Provides technical expertise and guidance across client engagements through assigned work based on demand, skill alignment, and historical relationships. • Builds credibility through efficient and effective delivery, supported by strong platform expertise. • Leverages knowledge of client system architecture and integrations to implement configuration changes and enhancements effectively. • Provides input on best practices when executing enhancements or configuration changes. • Constructively challenges client assumptions, aligning stakeholders to the most strategic and sustainable outcome—even when it demands a harder path forward. • Provides proactive technical guidance to ensure the client’s environment is stable, efficient, and scalable. • Executes configuration changes and enhancements based on incoming client requests and functional needs. • Advises on system configuration, integrations, and insurance data workflows to improve performance and compliance with best practices. • Configures the Origami platform in accordance with client requirements and conducts unit testing on assigned deliverables to verify functionality. • Documents client-specific configurations, integrations, standard operating procedures, and areas of opportunity. • Produces accurate level-of-effort (LOE) estimates for assigned technical work. • Applies a deep understanding of platform capabilities and configuration options to deliver solutions that align with client needs while maintaining consistency with standard functionality. • Collaborates with Client Success Managers (CSMs) and next-level management to ensure work efforts align with contracted scope; proactively communicates any risks or constraints impacting delivery. • Ensures SLAs and SLOs are met and communicated transparently. • Records hours worked in accordance with Origami's time entry policy. • Supports Client Success management on client success plans, adoption efforts, periodic business reviews, and other success milestones and playbooks. • Partners with Client Success and Sales to support retention, renewals, and expansion opportunities. • Collaborates with Client Success on executive-level reports summarizing technical health, key initiatives, and value delivered. • Partners with Product Management and Service Enablement to provide structured feedback from clients and influence roadmap priorities. • Works with Engineering and Cloud Operations on environment upgrades, migrations, and performance tuning. • Collaborates with Support to ensure the technical health of the account by driving timely resolution of outstanding incidents. • Coordinates with Implementation and Professional Services to ensure smooth handoffs post-deployment.

• Define and own the enterprise platform architecture strategy — establishing the technical vision for how our systems, services, APIs, and data layers are designed to support product innovation, client scale, and competitive differentiation. • Develop and maintain architecture principles, patterns, and guardrails that guide Engineering teams toward consistent, scalable, and maintainable system design across back-end, API, and integration layers. • Lead architectural runway planning in partnership with the VP of Engineering and Product leadership — ensuring architectural investments stay ahead of product demand and organizational growth. • Evaluate and make deliberate decisions on foundational technology choices — including frameworks, cloud services, messaging patterns, data stores, and AI/ML integration approaches — balancing innovation with operational sustainability. • Own the architecture decision record (ADR) process, ensuring significant architectural decisions are documented, peer-reviewed, and accessible to the broader engineering organization. • Champion an AI-first design philosophy across the platform — ensuring that AI capabilities, including LLM integration, intelligent workflow orchestration, and ML-powered services, are treated as first-class architectural concerns rather than afterthoughts. • Define architectural patterns for AI capability integration, including API design standards for LLM-powered services, prompt management patterns, model versioning strategies, and AI observability requirements. • Provide architectural oversight to the Manager of Back-End Software Engineering and Manager of Technical Software Engineering — ensuring that engineering work executed within those teams is architecturally sound, consistently patterned, and aligned with the platform roadmap. • Run architecture guilds, design forums, and technical review sessions that create space for Engineering teams to engage with platform architecture, raise design questions, and contribute to architectural evolution.

• Owns all assigned expanded projects spanning all client types, ensuring they meet company standards, client needs, and agreed scope, timeline, and budget • Takes full responsibility for each project’s success by driving effective planning, coordination, communication, and execution from start to finish • Leads or joins project kickoff meetings to confirm requirements, check assumptions, and ensure everyone understands goals, deliverables, and success criteria • Sets and communicates daily priorities for team members to keep work focused on project goals and deadlines • Responds quickly and professionally to client communications to maintain strong relationships and high client satisfaction throughout the project • Tracks project progress, spots risks or issues early, and escalates concerns to stakeholders to protect quality and timelines • Reviews project plans, designs, and deliverables for quality and accuracy before sharing them with internal or client stakeholders

• Defines and owns the end-to-end analytics strategy for Product & Technology, ensuring alignment across system reliability, operational performance, and product growth objectives • Builds, mentors, and manages a high-performing team of analysts and specialists supporting platform operations and product lifecycle insights • Leads performance management and compensation processes for assigned team members, including completing year-end reviews • Establishes best practices for operational and product-led metrics, reporting, and data governance to ensure a unified "source of truth" • Prioritizes analytics initiatives based on operational risk, business impact, and the roadmap to support both stability and innovation • Owns measurement frameworks for OLAs, KPIs, and product success signals (e.g., retention, churn, and feature adoption) • Partners with internal teams to measure platform performance, reliability, and user behavior patterns to drive scalability • Analyzes trends in incidents and outages while investigating user friction points to identify root causes and prevention opportunities • Supports infrastructure capacity planning and utilization analysis alongside user growth and demand forecasting • Develops transparency into platform costs and efficiency, as well as the ROI of product features and enhancements • Acts as a lead analytics advisor to the Director of Platform Operations, Product Management, and senior leadership • Converts complex operational and behavioral datasets into clear, actionable recommendations for diverse stakeholders • Enables leadership to navigate tradeoffs between technical reliability, development speed, cost, and user experience • Ensures the accuracy and consistency of all operational data and product telemetry/instrumentation • Collaborates with Data Engineering and Product teams to enhance data pipelines, models, and event-tracking frameworks • Builds dashboards and tools providing real-time visibility into platform health and product performance • Maintains comprehensive documentation for all operational and product-related metrics and definitions • Proactively collaborates with internal and external stakeholders to identify improvements, deliver data solutions, and measure impact

• Play a critical leadership role in shaping the future of our digital customer experience. • Drive the integration of AI and modern engineering practices across our eCommerce, mobile, and digital platforms. • Define and advance our AI-powered digital experience strategy, helping drive AI engineered solutions. • Drive adoption of AI/GenAI patterns to enhance developer productivity and customer experiences. • Shape and scale customer-facing AI capabilities such as dynamic product recommendations and personalized content delivery. • Lead the development of next-generation web and mobile platforms leveraging modern frameworks.

• Establishes and maintains strong working relationships with third ‑ party technology partners participating in the Origami Marketplace. • Serves as the primary technical point of contact for partners during onboarding and ongoing collaboration. • Obtains, reviews, and maintains partner API documentation, integration specifications, and technical requirements. • Secures and manages API credentials, sandbox access, and related assets required for development, testing, and demo environments. • Monitors and communicates with partners to ensure that credentials and versions are current. • Supports the execution of technical and commercial partnership agreements, ensuring alignment with Origami’s Premium Partnership program. • Evaluates partner technical capabilities and readiness to support scalable, supportable integrations. • Partners with Product and business stakeholders to assess partnership value, revenue potential, and strategic fit within the Marketplace. • Acts as a bridge between external partners, Product Managers, and Integration Engineering, translating partner APIs and capabilities into clear, actionable requirements for new and existing connectors. • Documents integration assumptions, constraints, dependencies, and requirements to support efficient Engineering execution. • Partners with Product Management to ensure Marketplace integrations align with the product roadmap, platform standards, and customer needs. • Ensures connectors are current to partners latest releases of functionality and APIs. • Partners with the Technical Sales team to support demo environments involving Marketplace integrations. • Ensures partner demo accounts and environments are properly configured, maintained, and technically viable. • Provides technical context and partner integration expertise to support sales motions tied to Marketplace and Premium partnerships. • Enables internal teams with clear documentation and guidance on partner technical capabilities and integration usage. • Collaborates with Marketing team around Origami and Industry conference opportunities with partners to create holistic and comprehensive paid partnership programs. • Supports and continuously improves technical partner onboarding processes for Marketplace integrations. • Maintains clear, centralized documentation related to partner technical requirements, integration status, and ongoing enablement needs. • Identifies process gaps or friction points in partner technical workflows and proposes scalable improvements. • Ideates and creates additional promotional opportunities and enhancements to benefit partners and differentiate paid partnership programs.

• Leads DevOps delivery for cloud-native applications, translating architecture and product requirements into infrastructure, CI/CD, and operational runbooks across development through multi-region production environments • Designs, implements, and maintains AWS infrastructure as code using Terraform across services such as EKS, ECS Fargate, Lambda, API Gateway, WAF, IAM, CloudWatch, OpenSearch, and related platform services • Owns multi-environment infrastructure promotion workflows, including dependency ordering, shared-resource prerequisites, environment-specific configuration, and post-apply validation • Builds and enhances CI/CD pipelines in Azure DevOps and GitHub using shared pipeline templates, service-specific pipeline configurations, variable groups, deployment parameters, and multi-environment rollout patterns. • Supports high-velocity delivery for AI initiative projects by helping design and evolve a standardized CI/CD platform that enables Day-1 deployment from initial repo creation through infrastructure provisioning, application deployment, observability, and production readiness • Partners with Architecture and Engineering teams to establish Day-1 observability for new services, including centralized logging, metrics, tracing, dashboards, alerts, and operational support expectations • Coordinates cross-repo releases for complex platforms, including Terraform applies, service deployments, third-party tool integrations, release sequencing, and stakeholder communication • Onboards new services and greenfield projects by analyzing deployment requirements, authoring deployment runbooks and architecture documentation, and creating Terraform workspaces and pipeline scaffolding • Identifies, diagnoses, and resolves production and pre-production issues using NewRelic, Datadog, Kubernetes CLI tools, CloudWatch logs, EKS, ECS and Lambda diagnostics, OpenSearch, pipeline logs, and infrastructure state analysis • Communicates incident status, risks, blockers, and resolution plans to engineering teams and stakeholders based on severity and business impact • Implements and maintains security controls and compliance posture, including IAM least-privilege design, Wiz pipeline integration, supply-chain risk review, and Terraform resource governance • Defines and improves operational readiness for go-live services, including monitoring gaps, OpenSearch access patterns, VPN and private DNS routing, deployment validation, rollback planning, and incident response playbooks • Reduces build, deployment, and configuration complexity through automation, standardized repo templates, environment-aware pipeline parameters, shared ECR patterns, central infrastructure standards, and repeatable environment bootstrapping • Researches and evaluates platform modernization options such as shared databases, Kubernetes, Helm, Argo CD, automated service onboarding, and AI-assisted IaC and CI/CD workflows • Presents data-driven platform improvement proposals to leadership and partner teams • Coordinates with DevOps Engineers, Cloud Architects, and Engineering teams on Terraform module design, environment-specific promotion, and safe production change practices • Manages incident tickets and change requests within defined SLAs, including CAB and release coordination for production promotions • Creates and maintain technical documentation, including Terraform READMEs, deployment runbooks, architecture notes, environment-specific configuration guides, troubleshooting documentation, and project status updates

• Leads, mentors, and inspires a team of Product Managers and Product Analysts, fostering a culture of collaboration and continuous improvement. • Establishes clear expectations for the team’s use of AI throughout the SDLC, including research, discovery, delivery, and post-release evaluation. • Guides the use of AI-assisted research techniques (e.g., synthesis, summarization, trend analysis) to improve speed and depth of customer, market, and competitive insights. • Ensures the team uses AI to support content and artifact generation, including product requirements, PRDs, user stories, acceptance criteria, release notes, internal communications, and stakeholder-facing materials, while maintaining clarity, accuracy, and human judgment. • Champions rapid prototyping and experimentation using AI-enabled tools to explore solution options, validate assumptions, and reduce time to learning. • Provides oversight of the team, ensuring alignment with Software Development Lifecycle (SDLC) and underlying processes. • Monitors and reports on product KPIs and business metrics to optimize the Product and ensure efficiency and effectiveness of the team and products. • Develops and maintains deep expertise in the competitive landscape, including direct competitors, adjacent solutions, pricing strategies, and evolving marketing trends. • Researches and identifies emerging AI, data, market, and technology trends to influence the product roadmap and promote innovation and differentiation. • Uses data, experimentation, and AI-driven insights to validate roadmap prioritization and proposed solution builds, ensuring problems are worth solving and solutions deliver measurable value. • Translates commercial strategy and competitive insights in clear product vision, and roadmap priorities to define and oversee a prioritized roadmap across the team of Product Managers for a single and clear strategic vision for suites of products/modules. • Researches and identifies emerging market and technology needs to influence the market roadmap and promote innovation and differentiation. • Uses data to validate roadmap prioritization and proposed solution builds. • Ensures that we are solving the right problems and that these problems are worth solving. • Advocates for the customer by proactively seeking out and engaging with clients to understand pain points and problems we need to solve for. • Partners with cross-functional team to ensure successful rollout of team functionality and solutions in alignment with department procedures • Communicates with other Product Managers and department leadership to ensure complementary/non-conflicting roadmaps. • Partners with key stakeholders, including but not limited to design, architecture, marketing, and business representatives. • Champions and models Origami Risk’s values (Prioritize Clients’ Trust and Success, Innovate with an Entrepreneurial Spirit, Collaborate and Win as a Team). • Performs ongoing team member career development and performance evaluations in addition to the annual performance and compensation review process.

• Develops requirements and specifications based on bureau (ISO/NCCI) rules and forms to be implemented in the Origami bureau content repository • Works with System Integrator resources to define requirements, answer questions, test, and manage the implementation of bureau rates, rules, and forms • Supports Service to educate in the creation of client specific rating programs and answer questions related to bureau content • Tests and validates bureau content created in configuration tools • Aids sales by presenting the bureau solution to prospective clients and providing demos to other parties, as needed • Collaborates with technical product managers and development to identify, provide requirements, and coordinate changes to the Origami application that are needed to properly create, deliver, maintain, and transact bureau-based policies • Defines requirements related to external integrations into the bureau content • Supports the creation of documentation and training materials for bureau content • Other duties as assigned.

• The Release Automation Engineer owns the engineering of the release pipeline itself — building, hardening, and continuously improving the automated systems that take code from a completed sprint artifact to a verified production deployment. • This role owns all of the backend function of releases, including the pipelines, the gates, the promotion logic, the rollback triggers, and the integrations, that make the entire release workflow run with precision and minimal human intervention. • This role leverages AI heavily, using it to generate pipeline code, identify automation gaps, analyze failure patterns, and accelerate the engineering of smarter, self-healing release infrastructure. • Designs, builds, and owns the CI/CD pipeline infrastructure across the Engineering organization — engineering reliable, fast, and maintainable pipelines in Azure DevOps and GitHub Actions that carry artifacts from code commit through build, test, security scan, and deployment with consistency and precision. • Implements and maintains pipeline caching, parallelization, and optimization strategies that minimize build and test cycle times, ensuring pipeline speed never becomes a bottleneck to engineering delivery velocity. • Engineers the automated artifact promotion workflow across development, QA, staging, and production environments, implementing promotion logic that enforces defined quality gates, approval requirements, and compliance checks without requiring manual intervention for standard release scenarios. • Builds automated release gates that integrate quality signals from multiple sources, including unit test results, integration test outcomes, SAST/DAST security scan findings, code coverage thresholds, and performance benchmarks, blocking promotion automatically when criteria are not met. • Integrates LaunchDarkly feature flag operations into the automated release workflow, engineering pipeline steps that provision, configure, and validate feature flag states as part of the promotion process. • Builds automated rollback capabilities into the release pipeline, engineering trigger conditions, rollback execution logic, and post-rollback validation steps that enable rapid, reliable recovery from failed deployments without requiring manual intervention under pressure.