• Own product vision, roadmap, and delivery for a high-growth SaaS platform • Translate complex compliance requirements into intuitive customer workflows • Prioritize ruthlessly; say no to protect speed and quality • Partner with the CTO on scope, sequencing, and trade-offs • Improve UX, onboarding, and core workflows to reduce friction • Engage directly with customers to validate problems and solutions • Identify automation and AI opportunities that create real leverage

• Working with internal business experts, internal / external consultants, and owners of products throughout the Live Nation ecosystem to define and prioritize implementation of a world class information security product portfolio. • Day-to-day management of the product portfolio and triage of any issues or concerns of the system that are impacted by the implementation. • Become a point person within Live Nation for tooling implementation-related questions, specifically around how systems work and future enhancements. • Working with engineering, software, business leads and QA organizations in the development and deployment of compliant products and features. • Identifying interdependencies between core systems and other products to ensure regulatory compliance. • Documenting use cases, updating epics and user stories, prioritizing and maintaining product backlogs, and guiding development through the dev cycle for feature stories

• Inspireert en adviseert klanten over hun business- en IT-uitdagingen • Combineren van diepgaande markt- en technologiekennis • Opbouwen van duurzame klantrelaties en succesvol sluiten van deals • Leiding geven aan strategische accountplanning en coördineren van dealproces • Adviseren op basis van businesscases en ontwikkelen van integrale oplossingen • Borgt klantinformatie in Salesforce

• Lead ML Research and Development: Drive the research, development, and optimization of machine learning models, focusing on solving real-world business problems through advanced ML techniques. • Architect Novel Training and Fine-Tuning Methodologies: Design, implement, and iterate on advanced training protocols, fine-tuning processes, and optimization strategies, particularly for Language Models (LLMs). • Evaluate Model Performance and Innovation: Develop and refine techniques for assessing and enhancing the effectiveness of ML models, focusing on accuracy, scalability, and adaptability to dynamic enterprise requirements. • Feedback System Design for Continuous Learning: Create systems that incorporate user and system feedback to iteratively improve model performance over time. • Cross-Functional Collaboration: Work closely with product teams and domain experts to translate business needs into research questions and actionable ML strategies. • Stay Current on ML Advancements: Actively monitor the latest research in ML and NLP, integrating cutting-edge practices and methodologies into our development pipeline. • Mentor and Guide Team Members: Provide technical guidance to junior researchers, fostering a culture of continuous learning, experimentation, and research-driven development.