The Fraud Strategist acts as a subject matter expert to design optimal product implementation strategies and evaluate risk profiles for enterprise customers. They are responsible for driving efficient onboarding, resolving technical or regulatory bottlenecks, and advising teams on emerging fraud vectors.
The Principal Enterprise Architect will define the technical vision for scalable, high-performance SaaS platforms while driving the adoption of GenAI and cloud-native engineering practices. This role involves leading the Architecture Review Council, optimizing infrastructure costs, and mentoring engineering teams to ensure architectural coherence and operational excellence.
You will act as a technical expert to guide prospective clients through the implementation of Jumio's identity verification solutions. This involves leading technical presentations, managing customer onboarding, and collaborating with internal teams to improve product features.
The Senior Customer Marketing Manager will own the customer marketing function, building lifecycle communications, advocacy programs, and content to drive adoption and expansion. They will partner with Customer Success and Account Management teams to turn customer insights into actionable product and go-to-market input.
The Fraud Strategist acts as a subject matter expert to design optimal product implementation strategies and evaluate risk profiles for enterprise customers. They are responsible for driving efficient onboarding, resolving technical or regulatory bottlenecks, and advising teams on emerging fraud vectors.
You will define and own the end-to-end automated test strategy for distributed microservices and web portals while mentoring other engineers. The role involves hands-on coding, influencing system architecture, and integrating quality practices into the CI/CD lifecycle.
The Senior Analyst will manage sales incentive commission plans and architect back-end data processes to ensure accurate calculations. They will also design dynamic dashboards and provide data-backed insights to support commercial initiatives and operational efficiency.
Develop and maintain automated test scripts for web and API applications while collaborating with development teams to ensure software quality. Execute functional, regression, and integration tests within CI/CD pipelines to provide actionable feedback and ensure release readiness.
The Business Development Representative is responsible for researching companies, managing inbound and outbound campaigns, and qualifying leads to pass to Account Executives. They must effectively communicate the value of Jumio's identity verification and compliance solutions to prospective clients.
You will own a portfolio of enterprise and mid-market accounts in APAC, acting as a value consultant to ensure customer health, retention, and ROI. You will collaborate with internal teams to drive product adoption, manage renewals, and identify expansion opportunities through data-driven insights.
Lead the design and scaling of production-ready computer vision systems for biometric face recognition and attributes. Own the end-to-end ML pipeline from data ingestion and curation to low-latency deployment on AWS.
Lead the design and scaling of production-grade computer vision systems for biometrics, including face recognition and attribute detection. Own the end-to-end ML pipeline from data ingestion and curation to low-latency deployment on AWS.
Lead the design and scaling of production-ready computer vision systems for biometric face recognition and attributes. Own the end-to-end ML pipeline from data ingestion and curation to low-latency deployment on AWS.
Lead the development and architecture of the core native iOS SDK and customer-facing applications. Take ownership of the full delivery lifecycle from idea creation and design to public release and customer issue resolution.
Lead the architecture and evolution of backend services for biometrics and machine learning model serving. Collaborate with cross-functional teams to build scalable systems and mentor engineers on best practices.
Develop and maintain advanced machine learning and computer vision models to detect fraud for identity verification. Deploy these models via AWS SageMaker or on-device and collaborate with product managers in an Agile environment.
Build and integrate ROS/ROS2-based modules to support robotic navigation and data collection workflows. Develop and maintain end-to-end machine learning pipelines for training, evaluating, and monitoring model performance in production.
Design and develop end-to-end computer vision models and pipelines for biometrics use cases such as face detection and recognition. Optimize models for low-latency inference and mentor other ML engineers on technical best practices.
Design and implement scalable ML infrastructure for model deployment, serving, and optimization to improve inference performance and cost. Drive the continuous improvement of ML asset lifecycle management and governance capabilities within a cross-functional team.
Drive growth by identifying and acquiring new enterprise customers across various industries to eliminate identity fraud. Manage the full sales cycle from prospecting and pipeline development to contract negotiation and closing.
Lead the design and development of computer vision and biometric systems, including face recognition and quality assessment. Own the end-to-end machine learning pipeline from data ingestion and synthetic data generation to production deployment on AWS.
The role involves leading the design and development of computer vision systems for biometrics, including rigorous fairness analysis and benchmarking of models. Responsibilities also include owning end-to-end ML pipelines from data ingestion to deployment and optimizing models for low-latency inference.
