Jumio Corporation

• You’ll be responsible for the further development and architecture of our core products (mainly our native iOS SDK and sometimes on our end user-facing customer applications, cross-platform deliveries, …) • Take ownership in delivering new functionality and fixes from idea creation, through the design phase until the public release. • You write clean, readable and well documented code and you understand that your changes impact hundreds of well known applications in the app store and influence the experience of an impressive number of daily unique end-users using our SDK. • Participate in resolving issues together with our customers. • Collaborate with the whole R&D team / entire company to build features that matter • Manage your own work by organizing your time, prioritizing tasks and taking ownership of topics.

• Solution Engineers help customers understand how to get the best out of Jumio’s products. • Provide technical and functional expertise across our suite of online ID and Identity verification, KYC, AML, user authentication and Risk Management solutions. • Increase pipeline conversion rates, help grow revenue and ensure high levels of customer satisfaction. • Play a major role in improving and expanding existing processes such as, pre-sales technical presentations, product testing, integration and customer onboarding. • Manage the onboarding of customers to Jumio from kick-off meeting with business and project teams to Go Live. • Provide technical and functional subject matter expertise to our external customers as well as Jumio Account Executive and Account Management team. • Create and deliver customised demos on different platforms (web, iOS, Android) to showcase Jumio products.

Role Description We're looking for a Senior Backend Engineer to lead the architecture and evolution of backend services that deploy and serve machine learning models in production. You'll work closely with ML Engineers, Platform, and Product teams to build scalable, reliable systems and drive technical direction across multiple teams. - Design and drive the long-term architecture of backend services for biometrics and ML model serving. - Collaborate with core platform and backend teams on organization-wide architectural initiatives. - Partner with business and engineering teams to design and deliver cross-cutting platform capabilities. - Lead architectural reviews, mentor engineers, and promote engineering best practices. - Build and maintain backend services for deploying and serving ML models. - Monitor service reliability, performance, and scalability in production. - Deploy and operate services on AWS using ECS + Fargate, SageMaker, or EC2 + Kubernetes. - Support real-time and batch inference workflows. - Contribute to CI/CD pipelines and deployment automation. Qualifications - Strong expertise in backend development using Java and working knowledge of Python. - Experience mentoring engineers and driving architectural decisions. - Working knowledge of Python, especially for ML-related workflows. - Hands-on experience with AWS (e.g., DynamoDB, ECS, EC2, Redis, S3, SageMaker). - Familiarity with Terraform or other infrastructure-as-code tools, and experience with CI/CD and production monitoring. - Experience with observability tools (Datadog, New Relic, etc.). - Experience with containers and orchestration (Docker, ECS, etc.). - Understanding of how ML models are deployed and served in production. - Experience with Kubernetes. Requirements - Experience with MLOps or ML platform engineering. - Experience with asynchronous programming and event-driven systems. Company Description Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders. - Jumio is the leading provider of online identity verification, eKYC and AML solutions. - With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.

• Own the health of a portfolio of enterprise and mid-market accounts across North America, including clear visibility into green, yellow, and red accounts • Monitor customer health signals such as product utilization, support trends, NPS, executive engagement, and contract consumption pace • Identify early warning signs of dissatisfaction, underutilization, or disengagement and proactively develop action plans to mitigate churn risk • Build and maintain success plans aligned to each customer’s business goals, ensuring they remain current as customer needs evolve • Track and communicate business outcomes, including pass rates, conversion improvement, fraud reduction, compliance impact, and overall ROI • Prepare and lead regular business reviews that drive decisions, reinforce Jumio’s value, and support renewal and expansion readiness • Partner with Account Managers on renewal and expansion opportunities by providing customer insight, value narratives, and data-backed business cases • Partner with Onboarding and Implementation Managers during post-go-live transition to ensure customers reach full adoption • Ensure customers are using the products and features they purchased, and proactively introduce underutilized capabilities where relevant • Train new users as customer teams grow or change, and keep customers informed on relevant product updates and new functionality • Build multi-threaded relationships across customer organizations, including executive stakeholders, business leaders, day-to-day users, and technical teams • Identify and nurture customer champions who can advocate for Jumio internally and participate in references, case studies, advisory boards, or user groups • Own customer escalations when product gaps, unresolved support issues, or recurring concerns impact customer outcomes • Partner with Product and Support to close the loop on customer feedback and ensure customers understand what actions Jumio is taking • Maintain accurate customer health, risk, adoption, and engagement information within Jumio’s Customer Success tools and internal systems

• Lead and develop the Professional Services team, including Onboarding Managers and Implementation Managers • Own the end-to-end customer onboarding journey from contract signature to go-live to Time to Value • Define and enforce onboarding milestones, go-live criteria, and adoption expectations • Build and maintain the customer onboarding and implementation project plan framework • Drive integration quality, including API/SDK integration support, sandbox testing, workflow configuration, and pre-launch checklisting • Lead the transition from onboarding to the ongoing CSM relationship, ensuring no context is lost and no customer feels the seam • Own the business outcomes scorecard, aligning customer success criteria from day one and tracking attainment through the lifecycle • Manage and grow Jumio’s billable services portfolio, including health checks, technical advisory engagements, TAM retainers, and professional services packages • Define service tiers, scope, pricing, and delivery standards for all post-sale professional services offerings • Partner with the CSM and Account Management teams to position and sell services as part of renewal and expansion conversations • Build the capacity model to ensure the team can scale services delivery without compromising quality • Lead the Customer Success Operations function and the person and systems infrastructure that enables post-sale teams to operate efficiently and with insight • Own the implementation and ongoing optimization of Jumio’s Customer Success platform, including health scoring, lifecycle automation, reporting, and integrations • Own the implementation of Customer Success Agents to drive efficiency and outcomes across the customer base • Build and maintain the customer health score model, including defining inputs, weighting signals, and ensuring the output is actionable for CSMs and Account Managers • Design and deliver the Customer Success reporting pack, including weekly operational health, at-risk dashboards, and executive/board-level retention metrics • Lead program and project management for cross-functional Customer Success initiatives, including customer journey mapping, playbook design, and technology rollouts • Own tooling strategy across the post-sale stack, including the Customer Success platform, Gong, SFDC integration, and adjacent tools • Drive Gong adoption and compliance, ensuring every customer interaction is captured, accessible, and informing decision-making • Build and maintain playbooks for QBRs, escalations and at-risk accounts, onboarding, expansion, and renewal handoff

Role Description The Machine Learning Engineer IV will play a critical role in advancing Jumio's Fraud team's mission to develop and enhance state-of-the-art solutions for fraud detection for ID verification purposes. This role is essential for ensuring the highest standards of security and user verification through the application of advanced machine learning and deep learning techniques, ultimately contributing to Jumio's leadership in the online identity verification, eKYC, and AML solutions market. As a Machine Learning Engineer IV at Jumio, you will have the opportunity to significantly impact the security and user experience of our ID verification solutions. Your expertise in deep learning and computer vision will drive the development of innovative algorithms that keep Jumio at the forefront of the industry. By deploying and maintaining these models in production, you will ensure the robustness and reliability of our solutions, supporting our clients across diverse industries such as Financial Services, Travel, Sharing Economy, Fintech, and Gaming. Your contributions will be pivotal in maintaining Jumio's reputation as the leading provider of online identity verification solutions, helping to meet the growing demand for secure and seamless user verification globally. - Develop, maintain, and own key fraudulent CV models of Jumio, which shapes the whole fraud product offering of Jumio. - Design and implement machine learning, deep learning, classical CV focused on fraud detection. - Research to support the deployment of the advanced algorithms. - Deploy models as AWS SageMaker endpoints or directly onto devices. - Stay updated with the latest advancements in machine learning, deep learning, and computer vision by engaging with academic papers and attending industry conferences. - Work collaboratively with other engineers and product managers in an Agile development environment. Qualifications - Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. - A minimum of 6+ years of commercial experience in the field of machine learning/deep learning, not including time spent studying (2 years with Master’s). - Must have: experience with training of DL models for deepfakes, synthetic data, or gen AI data detection. - Deep understanding of how to convert ML metrics to product goals. - Hands-on experience with PyTorch or TensorFlow, SKLearn, and in developing production-grade Python code. - Demonstrated experience in implementing best practices for monitoring and maintaining ML models in production environments. - Strong communication and problem-solving skills. Requirements - Experience in working with LLM’s or VLM’s. - Work with image or video generation. - Experience with cloud environments - AWS / GCP. - Experience in working in global organizations across several timezones. Benefits - IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation. Equal Opportunities Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses. Company Description Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders. Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others. Applicant Data Privacy We will only use your personal information in connection with Jumio’s application, recruitment, and hiring processes, as described in Jumio’s Applicant Privacy Notice. If you have any questions or comments, please send an email to privacy@jumio.com.

• Define and own the end-to-end automated test strategy across web portals and backend microservices, balancing UI, API, contract, integration, and end-to-end coverage (test pyramid). • Design test strategies for distributed, event-driven systems — including asynchronous flows through SNS/SQS, eventual consistency, idempotency, message ordering, retries, and dead-letter handling. • Develop and maintain robust test automation frameworks for web (Playwright, Selenium, or equivalent) and API testing, using Java and/or JavaScript/TypeScript. • Automate API and service-level testing (REST/JSON, and async messaging) to validate functionality, performance, and resilience. • Build maintainable, scalable framework abstractions (page objects, fixtures, data builders, reusable test harnesses) that other engineers adopt. • Drive performance, load, and resilience testing (e.g., JMeter, k6, Gatling, Locust) for highly scalable services, and partner with engineering on results and bottlenecks.

Role Description We're looking for a Senior Machine Learning Engineer with strong computer vision expertise to join our Biometrics team. You'll ramp up on the biometrics domain while contributing to the design, training, and scaling of our ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. - Design and develop computer vision models and pipelines, contributing to biometrics use cases such as face detection, quality assessment, and recognition. - Collaborate on benchmarking of models across datasets and operating conditions. - Train and optimize models using PyTorch, TensorFlow, and/or JAX. - Contribute to end-to-end ML pipelines, from data ingestion to deployment. Help design automated pipelines (Airflow) for data ingestion and cleaning. - Production Engineering: Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and support deployment on AWS. - Collaborate with and mentor ML engineers, and contribute to technical best practices across the Computer Vision team. Qualifications - 5+ years of industry experience in Machine Learning with a focus on Computer Vision (e.g., image classification, object detection, segmentation, image quality, generative models). - Strong Computer Vision fundamentals. - Awareness of algorithmic bias and willingness to learn domain-specific fairness practices. - Strong proficiency in Python (Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. - Experience designing or contributing to ML pipelines and familiarity with orchestration tools like Airflow. - Experience with GPU-based training and deploying ML services on AWS. Requirements - Research Publications in top computer vision venues (CVPR, ICCV, ECCV). - Familiarity with vector databases and ANN search. - Experience with GANs or diffusion models for data augmentation. - CoreML, LiteRT, and/or TFLite experience. - Familiarity with privacy, security, and compliance considerations in sensitive ML applications. Benefits - IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation. Company Description Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering, and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection, and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders. Jumio is the leading provider of online identity verification, eKYC, and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.

Role Description Jumio is looking for a Research Engineer with a foundation in machine learning, robotics, and data infrastructure to help build and scale the systems used for data collection, model development, and product improvement. This role sits at the intersection of robotics, computer vision, and applied machine learning. You will work hands-on with robotic systems, ROS/ROS2-based modules, mobile data collection workflows, and ML pipelines that support training, evaluation, and production model performance. This is a strong opportunity for a new graduate or early-career engineer who wants to build practical systems that directly improve real-world AI products. High-quality data and reliable model evaluation infrastructure are critical to improving Jumio’s machine learning and computer vision capabilities. This role helps ensure that data collected from robotic systems and mobile applications is usable, scalable, and connected to the broader model development lifecycle. The Research Engineer will support both the robotics/data collection environment and the ML development workflow, helping the team move faster, improve model quality, and better understand model performance in production. Qualifications - Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field. - 1–2 years of relevant industry, internship, or research experience in machine learning, robotics, computer vision, or related technical areas. - Hands-on experience with ROS and/or ROS2, including building or integrating modules for robot navigation, manipulation, simulation, or data collection. - Strong foundation in machine learning fundamentals, with experience implementing models in Python using frameworks such as PyTorch, TensorFlow, scikit-learn, or similar. - Experience working with databases, writing queries, and building or maintaining data pipelines for training, testing, or evaluation. - Strong programming skills in Python and C++, with an emphasis on clean, reliable, well-documented code. - Ability to work hands-on with physical hardware, debug system behavior, and translate research or prototype work into scalable engineering solutions. Requirements - Build and integrate ROS/ROS2-based modules to support robotic navigation, manipulation, and data collection workflows. - Replicate and integrate mobile and web UI environments into robotic testing and data collection systems. - Build, maintain, and improve training and test datasets collected through robotic manipulators and in-house iOS and Android applications. - Mine, query, and analyze data from internal databases to create features, identify trends, and generate insights that improve product and model development. - Develop tools and processes to monitor data quality, model performance, and model accuracy in production environments. - Implement end-to-end machine learning workflows, including data preparation, model training, testing, evaluation, and deployment support. - Write clean, modular, well-documented C++ and Python code that can be maintained and extended by other engineers. - Collaborate cross-functionally with machine learning, engineering, product, and research teams to improve data collection, model development, and system performance. Nice to Have - Experience with robotic manipulators, mobile robot platforms, or lab-based robotic systems. - Familiarity with iOS and/or Android development, especially for hardware-integrated data collection applications. - Experience with data collection pipelines for computer vision, biometric systems, identity verification, or similar applied AI domains. - Exposure to production ML observability, model monitoring, drift detection, or data quality monitoring tools. - Familiarity with cloud platforms such as AWS, including S3, EC2, SageMaker, or similar tools for storage, compute, and model deployment. - Experience working in cross-functional environments with machine learning engineers, software engineers, researchers, and product teams. Jumio Values - Integrity - Diversity - Empowerment - Accountability - Leading Innovation Equal Opportunities Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses. Company Description Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders. Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others. Applicant Data Privacy We will only use your personal information in connection with Jumio’s application, recruitment, and hiring processes, as described in Jumio’s Applicant Privacy Notice. If you have any questions or comments, please send an email to privacy@jumio.com.

Role Description Enterprise Account Managers ensure our largest customers maximize the value of using Jumio’s ID Verification products – helping them to eliminate identity fraud and onboard customers quickly and securely. There is also a significant commercial emphasis on achieving substantial revenue growth within these accounts by identifying new areas and use cases for our market-leading products. Enterprise Account Managers are responsible for a major portion of Jumio’s revenue and play a critical role in managing our highest-value accounts. Balancing customer satisfaction with commercial objectives, this role directly impacts our revenue, customer retention, and EBITDA growth. - Leading the overall long-term strategy and relationships across the assigned enterprise account portfolio. - Achieving significant financial targets and growth across a range of large accounts in various industries. - Work with management to define account strategies and identify opportunities for business expansion. - Interact with clients to ensure high levels of customer satisfaction through a consultative approach. - Develop and execute comprehensive account plans, consistently meeting and exceeding targets. - Articulate compelling value propositions about Jumio’s services to drive client engagement and satisfaction. - Work cross-functionally with Solution Engineering, Marketing, and Finance teams to maximize account growth and service excellence. - Draft and present detailed business reports, providing insights and updates on account performance. - Provide valuable feedback to Product and Marketing teams to continuously enhance our products and the value delivered to clients. Qualifications - 8+ years experience as a SaaS Account Manager with a proven track record of managing key accounts and achieving revenue targets. - Experience within the identity verification sector is a benefit. - Strong retention and growth success within multi-million dollar accounts. - Positive attitude, team-oriented, and a self-starter who can work independently and collaboratively to achieve account goals and contribute to the organization’s success. - Proven experience in managing high-value enterprise accounts with a focus on land and expand motions. - Evidence to show ability to build deep relationships across existing and new use cases on a Global scale. - Experience with Salesforce or similar CRM tools for managing accounts and tracking performance. - Excellent communication skills, both written and verbal, with the ability to convey complex information clearly and effectively. - AI proficient. - Professional, ambitious, determined, and results-oriented mindset. Requirements - The hiring range for this position is from $133,801 - $161,746. This represents the base salary, based on Jumio’s US national salary band for the role. Geographical adjustment is applied for tier 1 locations and more may be available based on your skills and experience. - This position also qualifies for uncapped sales commission. - Excellent benefits including medical and dental insurance, health and wellness, peer recognition, flexible time off, and 401K match are also provided for all US employees. Jumio Values - Integrity - Diversity - Empowerment - Accountability - Leading Innovation Equal Opportunities Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses. Company Description Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders. Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others. Applicant Data Privacy We will only use your personal information in connection with Jumio’s application, recruitment, and hiring processes, as described in Jumio’s Applicant Privacy Notice. If you have any questions or comments, please send an email to privacy@jumio.com.