Jobs at Jumio

Provides Tier 1 and Tier 2 global IT support, administers identity, cloud, endpoint, collaboration, and SaaS platforms, and manages onsite IT operations in Vienna. Responsibilities include device provisioning, inventory tracking, secure data wiping, warranty and vendor coordination, network issue escalation, documentation, and facilities-related IT support. The role requires three days per week onsite in Vienna and occasional travel to London.

Serves as a customer-facing fraud and identity subject matter expert across pre-sales, onboarding, and expansion. Advises enterprise customers on risk profiles, fraud strategies, identity workflows, integrations, regulatory hurdles, and implementation best practices. Leads onboarding and go-live readiness, coordinates cross-functional teams, validates milestones, and helps customers optimize verification workflows, reduce friction, accelerate deployment, and maximize product value.

Serve as a customer-facing fraud and identity expert across pre-sales, onboarding, and expansion. Design risk strategies and identity workflows, advise customers on fraud mitigation, coordinate technical and regulatory implementation requirements, validate milestones, and lead go-live readiness. Partner cross-functionally with Product, Engineering, Legal, and Compliance teams to accelerate deployment, adoption, and customer value.

Own a portfolio of APAC enterprise and mid-market customers, driving retention, adoption, measurable ROI, and expansion. Advise fraud, identity, AML, and compliance teams on risk strategies and workflow optimization. Monitor account health, lead executive business reviews, manage escalations, build success plans, train users, and identify renewal risks and expansion opportunities. Partner closely with Account Management, Product, Support, and Implementation teams while serving as a strategic customer advisor.

Own the enterprise architecture vision for scalable, high-performance, cost-efficient multi-tenant SaaS systems. Lead AWS cloud optimization, distributed data and AI infrastructure, architectural governance, and Architecture Review Council activities. Guide engineering teams on microservices, event-driven systems, automation, and cloud-native practices while driving GenAI adoption across the software lifecycle. Build prototypes, establish architectural standards, optimize total cost of ownership, and mentor technical leaders.

Provide technical pre-sales expertise for Jumio’s identity verification, KYC, AML, authentication, and risk management solutions. Responsibilities include consulting with prospects, leading technical presentations, responding to RFPs and RFIs, managing proofs of concept, onboarding customers through go-live, delivering customized web and mobile demos, and supporting sales, account management, product, engineering, and marketing teams.

Lead design and production of computer vision biometric systems (face detection, quality, attributes, recognition). Build/train models, implement fairness benchmarking, own end-to-end ML pipelines on AWS, optimize for low-latency inference, and mentor engineers.

Build and integrate ROS/ROS2 modules, collect and maintain ML training/test datasets from robots and mobile apps, implement end-to-end ML workflows, analyze data from internal databases, monitor data/model quality in production, and write maintainable Python/C++ code while collaborating across ML, engineering, product, and research teams.

Design, train, and scale computer-vision models and end-to-end ML pipelines for biometrics (face detection, quality assessment, recognition). Benchmark models, optimize for low-latency inference (quantization, distillation, TensorRT/ONNX), deploy on AWS, and mentor other ML engineers while promoting best practices and fairness awareness.

Lead design and production of face-recognition and biometric CV systems: build, train, benchmark for fairness, curate and synthesize datasets, create end-to-end ML pipelines with Airflow, optimize models for low-latency inference (TensorRT/ONNX/quantization), deploy and scale on AWS, and mentor engineers.

Lead design and production of computer vision biometric systems (face detection, quality, recognition). Build, train, optimize models (PyTorch/TensorFlow/JAX), design end-to-end ML pipelines (Airflow), ensure fairness, deploy and optimize low-latency inference on AWS, mentor engineers, and drive technical best practices.

Lead design and production of face recognition and biometric CV systems. Build, train, optimize models (PyTorch/TensorFlow/JAX), own end-to-end ML pipelines (Airflow), ensure fairness, deploy low-latency inference on AWS, and mentor engineers.

Lead the design and development of computer vision systems for biometrics. Responsible for training and deploying machine learning models, ensuring fairness, and mentoring other engineers.