Jobs at Origami Risk

Provides client-facing technical support for enterprise SaaS applications through case ownership, structured troubleshooting, data analysis, platform configuration, and clear communication. Investigates issues using SQL and scripting or markup languages, resolves Tier 1 or Tier 2 cases, escalates complex problems, documents findings, supports outage communications, and contributes to knowledge-sharing and continuous improvement.

Designs and scales cloud-native data platforms and ingestion pipelines using AWS, Databricks, and Spark. Builds APIs, file-upload mechanisms, ETL/ELT workflows, and Lakehouse architectures; supports SQL Server data loading and legacy C# .NET processes. Partners with analytics, software engineering, architecture, and product teams to ensure data quality and availability for reporting and machine learning. Troubleshoots pipelines and applies governance, security, compliance, documentation, and reliability best practices.

Leads and develops a DevOps platform team responsible for AWS-based developer platforms, CI/CD pipelines, Terraform, EKS, service onboarding, connectivity, secrets, observability integration, and environment promotion. Drives automation, AI-assisted DevOps workflows, platform reliability, security controls, incident response, compliance readiness, and cross-functional delivery. The role combines direct people leadership with hands-on technical oversight of scalable, self-service engineering infrastructure.

Owns Azure DevOps administration, governance, configuration, access controls, boards, organizational structures, and GitHub integrations for Engineering. Diagnoses platform issues, automates administrative tasks, maintains standards and documentation, supports onboarding, tracks platform health and compliance, and contributes to adjacent tools such as LaunchDarkly, Flyway, Cursor, and Claude Code.

Administers and governs engineering platforms including Azure DevOps, LaunchDarkly, Flyway, Cursor, and Claude Code. Manages access controls, feature flags, database migrations, standards documentation, platform health, compliance evidence, and automation. Builds monitoring, enablement resources, and workflow improvements while supporting secure, reliable engineering operations. Senior-level responsibilities also include leading complex integrations, automation strategy, technical mentoring, and AI tooling evaluation.

Develops and maintains AI governance policies, frameworks, and controls aligned with regulatory and industry standards. Conducts AI model risk assessments covering bias, explainability, data quality, and security; evaluates organizational and vendor risks; supports audits; designs controls; and partners with Legal, Privacy, Security, and Technology teams. The role also promotes compliant AI practices and organizational awareness while applying advanced AI/ML knowledge.

Owns product strategy, roadmap, backlog prioritization, requirements, and Agile delivery for an assigned SaaS product. Leads analysts, partners with Engineering and stakeholders, and serves as product owner for a scrum team. Uses data and AI-assisted techniques for discovery, experimentation, prioritization, prototyping, governance, and product optimization. Requires strong business acumen, communication, analytical skills, and experience managing product lifecycles.

Provides Tier 1 and Tier 2 technical support for B2B SaaS clients. Owns cases through resolution, troubleshoots platform, configuration, integration, and data issues, and uses SQL, JavaScript, and XML for investigation. Communicates with clients, documents issues, escalates appropriately, contributes to knowledge resources, identifies recurring problems, and supports continuous improvement and peer onboarding.

Owns GRC product revenue and quota by partnering with sellers and account managers throughout complex sales cycles. Delivers product demonstrations, presentations, discovery, and value-based discussions; generates pipeline; develops account strategies; enables sales teams; and serves as the client-facing GRC subject matter expert. The role engages executives and technical and business stakeholders, informs go-to-market teams with customer insights, and requires up to 25% travel.

The Product Sales Executive serves as an EHS subject matter expert, driving product revenue, managing a sales quota, generating pipeline, and supporting complex sales cycles. Responsibilities include delivering demos and executive presentations, aligning solutions to customer needs, collaborating with sellers and account managers, enabling sales teams, and providing customer and market insights. The role requires EHS experience, SaaS sales or pre-sales expertise, strong communication skills, CRM proficiency, and up to 25% travel.

Owns RMIS product sales revenue, quota, and pipeline while partnering with sellers and account managers through complex sales cycles. Delivers product demonstrations, executive briefings, discovery sessions, and value-based presentations. Acts as the client-facing RMIS subject matter expert, supports account strategy, enables sales teams on releases and differentiation, and shares market insights with cross-functional stakeholders.

The Sales Executive develops and manages a territory pipeline, identifies prospective clients, and sells Origami Risk’s integrated risk management SaaS solutions. Responsibilities include consultative discovery, product presentations, pricing and statement-of-work preparation, competitive positioning, networking with risk and insurance professionals, and achieving annual sales quotas. The role requires strong direct SaaS sales experience, CRM proficiency, and the ability to sell to organizations across multiple industries.

Paid, in-person summer internship offering placements in business systems analysis, client success, or site reliability engineering. Interns support client implementations, troubleshoot and configure software, maintain client relationships, analyze workflows, document processes, conduct incident investigations, improve system scalability, and develop automation. Candidates must be enrolled in a bachelor’s degree program and demonstrate strong communication, collaboration, attention to detail, and technical aptitude.

Develop and maintain automated UI, API, database, mobile, smoke, functional, regression, and integration test suites. Evaluate and enhance automation frameworks, reduce manual testing, improve coverage, document defects, analyze test results, and integrate testing into CI/CD pipelines. Collaborate with Agile engineering teams throughout the software development lifecycle, mentor manual QA testers, and provide release support as needed.

Leads post-incident investigations, root-cause analyses, and preventive strategies to improve reliability and time to resolution. Maintains observability tools, develops client dashboards and alerts, monitors performance metrics, and contributes to incident-response automation. Collaborates with Cloud Operations, SRE, and Engineering teams to enhance SaaS scalability and stability, troubleshoots .NET applications, and provides stakeholder visibility and technical feedback.

Leads cloud infrastructure, platform operations, and security operations for a SaaS environment. Oversees reliability, scalability, incident response, compliance, disaster recovery, IAM, observability, automation, and secure cloud architecture. Drives AI-powered monitoring, anomaly detection, remediation, security analytics, and operational efficiency. Manages Cloud Architecture, Infrastructure, and Security Engineering teams, including hiring, mentoring, performance management, and strategic planning.

Build and maintain bureau-based insurance solutions using ISO and NCCI rules, rates, and forms. Develop requirements, coordinate with system integrators and product development, test and validate configured content, support client-specific rating programs, define integrations, and create documentation and training. Assist sales through solution presentations and demonstrations. The role requires extensive insurance industry or insurance software vendor experience, especially in rating, policy issuance, and full policy lifecycle requirements.

Manages a portfolio of SMB and mid-market clients throughout onboarding, adoption, value realization, renewal readiness, and expansion. Builds stakeholder relationships, develops success plans, monitors client health and usage metrics, leads business reviews, identifies risks, manages escalations, and coordinates Support, Product, Professional Services, Training, Technical Account Management, and Account Management teams. Documents client goals and feedback while applying risk management, insurance, and industry expertise to deliver measurable outcomes.

Owns the RMIS product roadmap, strategy, backlog, and Agile delivery. Partners with Engineering, stakeholders, marketing, and operations to define requirements, prioritize features, support Scrum execution, and ensure quality delivery. Uses data, analytics, experimentation, and AI-assisted techniques to identify opportunities, prototype solutions, guide decisions, and develop responsible AI-enabled features. Acts as the product subject matter expert and supports strategic planning, client responses, and product lifecycle activities.

Leads and mentors Product Managers and Product Analysts responsible for RMIS products. Defines product vision, strategy, and roadmaps; uses customer research, competitive analysis, KPIs, experimentation, data, and AI-assisted tools to guide prioritization and delivery. Partners with design, architecture, marketing, and business stakeholders to launch solutions, ensure SDLC alignment, and deliver customer and commercial outcomes. Oversees team development, performance evaluations, and responsible AI adoption across the product lifecycle.