• Define and execute SafetyWing's AI strategy so that every team, workflow, and product becomes meaningfully more capable with AI • Build, test, and deploy AI-powered solutions across operations, claims, support, growth, product, design, and beyond • Help shape SafetyWing's product roadmap so AI is embedded into what we build, not just how we work • Help every team member become exceptionally effective with AI through training, coaching, experimentation, and hands-on support • Reimagine how work gets done at SafetyWing from the top down. Not only removing busy work and creating new ways for people to operate, but thinking deeply about how an AI-native insurance company should run internally and how AI should be embedded throughout our products • Measure the impact of AI across the company and continuously raise the bar for what our team can accomplish

Role Description Join our Xplor Pay team as AI Transformation Lead in the United States to make a real impact every day. We say that because we know that every conversation we have, every code line we write and every interface we design is another opportunity for us to elevate everyday life experiences for our customers and the people and communities they serve. Reporting into the Chief Product Officer, you will help us define, own, and execute Xplor's artificial intelligence strategy, bridging business objectives, product vision, and technical capabilities to ensure AI investments drive measurable value. Some of the other responsibilities include: - Defining and maintaining a clear, company-wide AI strategy aligned with business goals and long-term roadmap, including identifying high-impact use cases across products, operations, risk, customer experience, and internal workflows. - Owning the AI initiative portfolio, including prioritization, sequencing, and resourcing to ensure solutions are pragmatic and scalable. - Translating business problems into AI opportunities and driving pilots from concept to production, with a focus on measurable outcomes. - Partnering closely with Product, Engineering, Data Science, Security, Legal, and Compliance teams to deliver AI solutions embedded into core workflows. - Acting as the primary interface between executive leadership and technical teams for AI-related decisions. - Establishing AI governance frameworks covering transparency, security, and regulatory compliance, and ensuring responsible use of generative AI, machine learning, and automation technologies. - Monitoring evolving AI regulations and industry standards, adapting strategy as the landscape changes. - Building internal AI literacy through frameworks, playbooks, and best practices, and influencing a culture shift toward AI-driven decision-making and automation. - Evaluating build vs. buy decisions, managing key AI vendor relationships, and staying current on AI trends, platforms, and tooling including GenAI, LLMs, and MLOps. You can work fully remote in this position, provided you have eligible working rights and are in a time zone with enough overlap to collaborate with your team. The average base salary pay range for this position is USD $150,000 to USD $160,000. May be considered for a discretionary annual bonus. Qualifications - 8 to 12 or more years of experience in strategy, product, data, technology, or consulting roles. - Demonstrated experience leading AI, data, or advanced analytics initiatives from strategy through to execution. - Strong understanding of AI and ML concepts, generative AI, and data-driven systems, with technical depth that allows you to engage meaningfully without needing to write code daily. - Proven ability to influence senior stakeholders and operate confidently at the executive level. - Experience translating complex business problems into scalable, pragmatic AI solutions. - Ability to establish and maintain governance frameworks covering transparency, security, and regulatory compliance. Requirements - Experience working in highly regulated or complex business environments. - Familiarity with MLOps practices and the tooling ecosystem around LLMs and generative AI. - Track record of managing AI vendor relationships and making informed build vs. buy decisions. - Experience driving organizational change management and building AI literacy across non-technical teams. - Exposure to the payments, fintech, or vertical SaaS industry. Benefits - Paid Parental Leave to support your family when it matters most. - GiveBack Days so you can give your time to causes you care about. - A dedicated Diversity and Inclusion Council working to build a more equitable workplace. - Mental health support and resources to help you thrive. - Flexible working arrangements to suit your life.

• Depending on the task, you may be asked to generate original content or assess AI-generated outputs. • Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit. • Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches. • Provide concise, structured annotations that can be used directly for model improvement. • Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards

• Analyse business processes, identify gaps, and recommend effective SAP technical solutions to support business objectives. • Translate functional requirements into detailed technical specifications and solution designs. • Design, develop, test, and support SAP ABAP solutions in line with SAP standards and development best practices. • Deliver and support RICEFW objects (Reports, Interfaces, Conversions, Enhancements, Forms, and Workflows) within an SAP ECC environment. • Produce and maintain high-quality technical documentation, including technical designs, specifications, and support documentation. • Perform code analysis, debugging, performance optimisation, and impact assessments for existing and new developments. • Support SAP integrations with third-party applications and external systems using interfaces, web services, SAP Gateway OData services, and related technologies. • Ensure all system changes are managed through established change control and governance processes. • Provide technical and integration architecture guidance to SAP functional teams and project stakeholders. • Accurately estimate development effort and contribute to project planning and delivery timelines. • Lead small-scale technical initiatives and provide guidance and mentorship to junior analysts and developers. • Facilitate workshops with business users and stakeholders to gather, validate, and refine technical requirements. • Collaborate with internal and external development teams to review solutions, define technical standards, and ensure delivery quality. • Support testing activities, including unit testing, smoke testing, and user acceptance testing (UAT). • Contribute to continuous improvement initiatives, knowledge sharing, and adherence to quality and compliance standards.