• Lead the design and implementation of scalable AI-powered solutions across the product ecosystem • Automate manual workflows using AI-driven approaches, ensuring measurable efficiency gains • Architect and build semantic data models to support diverse AI use cases • Develop agent-based architectures for intelligent task automation • Build and maintain custom AI skills and capabilities tailored to product needs • Apply spec-driven development practices to ensure consistency and maintainability of AI features • Define and enforce best practices for AI integration and scalability • Collaborate closely with product and engineering leadership on AI strategy, roadmap, and execution • Evaluate emerging AI technologies and recommend adoption strategies

Role Description We are seeking a strategic and data-driven Learning Measurement & Analytics Lead to establish and execute the organization’s learning measurement strategy. This role is responsible for ensuring learning and development programs are evaluated based on measurable business outcomes, enabling data-driven decision-making and demonstrating the value of learning investments across the organization. As a trusted advisor and subject matter expert, you will partner with Learning & Development leaders, business stakeholders, and executive teams to design evaluation methodologies, conduct advanced analyses, and translate complex findings into actionable business insights. This role focuses on measuring behavior change, business impact, and return on investment (ROI), moving beyond traditional learning metrics to demonstrate organizational value. What You’ll Do - Develop and lead the organization's learning measurement and analytics strategy, ensuring alignment with business objectives and performance outcomes - Define and maintain standards for evaluating learning programs, including data collection methods, measurement frameworks, and reporting requirements - Design and implement scalable evaluation methodologies to measure behavior change, business impact, and learning effectiveness using frameworks such as Kirkpatrick Levels 3 and 4 and Phillips ROI - Build and manage learning analytics infrastructure and measurement platforms using tools such as Performativ, Qualtrics, or similar solutions - Integrate learning data with operational, talent, and business performance metrics to provide a comprehensive view of learning effectiveness - Conduct ROI analyses and advanced evaluation studies to assess the value and impact of learning initiatives - Design and execute structured evaluations, pilot programs, controlled experiments, and outcome studies to support evidence-based decision-making - Define evaluation methodologies, sampling approaches, comparison groups, and success metrics to ensure analytical rigor and validity - Perform statistical analyses using tools such as SPSS, Python, R, or equivalent analytical platforms - Develop executive-level dashboards, scorecards, and reports that communicate learning outcomes, business impact, and value realization - Translate complex analytical findings into clear, concise recommendations and business insights for senior leaders and stakeholders - Establish consistent measurement language and reporting standards focused on outcomes, performance improvement, and business value - Partner with stakeholders during project planning to define success measures, evaluation strategies, and business impact goals - Provide consultation and guidance on measurement design, data collection strategies, and interpretation of analytical findings - Develop reusable tools, templates, frameworks, and best practices to standardize learning measurement across the organization - Conduct external benchmarking and research to compare learning effectiveness against industry standards and leading practices - Build organizational capability in learning analytics and measurement through coaching, knowledge sharing, and stakeholder education - Influence leaders and business partners on the effective use of data, evidence, and measurement practices to support decision-making Qualifications - Experience in Learning Analytics, People Analytics, Organizational Research, Industrial/Organizational Psychology, or a measurement-intensive Learning & Development role - Experience designing and executing advanced evaluation studies, business impact assessments, and ROI analyses - Strong expertise in learning measurement methodologies, including Kirkpatrick Levels 3 and 4, Phillips ROI, and outcome-based evaluation frameworks - Experience building and implementing analytics infrastructure, measurement platforms, and automated reporting solutions - Experience with data visualization and reporting tools such as Power BI, Tableau, or equivalent platforms - Strong knowledge of research design, statistical methodologies, experimental design, sampling strategies, and data interpretation - Experience integrating learning data with business performance, operational, and workforce metrics - Exceptional communication and storytelling skills, with the ability to translate complex analyses into executive-level insights and recommendations Benefits - Competitive salary and performance-based bonuses - Comprehensive benefits package - Career development and training opportunities - Flexible work arrangements - Dynamic and inclusive work culture within a globally renowned group - Private Health and Dental Insurance - Pension Plan - Meals tickets - Life Insurance Please note: CVs must be submitted in English. Applications in other languages will not be considered.

• Execute reproducible experiments on our large data catalog to further the understanding of model performance. • Implement and evaluate novel CVML techniques, ranging from CNNs to large Transformer-based Foundation models, to improve our products. • Execute and improve existing rigorous model evaluation pipelines. • Collaborate on debugging and troubleshooting issues in ML models. • Lean into the responsible use of AI for software development.

• Research, design, develop and test robotic and machine learning applications for an AV company. • Contribute to the complete machine learning cycle: data collection, labeling, processing, algorithm design, model training, and evaluation. • Formulate problem statements specific to autonomous operations and design innovative solutions to address them. • Design novel machine learning models and algorithms, including new deep learning architectures, loss functions, and training protocols. • Utilize advanced machine learning techniques such as convolutional neural networks and Generative AI to enhance object detection and perception. • Work on improving perception properties of detected objects, such as their kinematics, intent, and short-term trajectory predictions. • Develop and implement novel solutions to integrate multiple sensors (e.g., Camera, RADAR, LiDAR) and other contextual information like High Definition Maps and temporal streams of data. • Collaborate with the team to ensure the safe and efficient operation of autonomous vehicles. • Provide support on debugging real-time issues on the ride-hail fleet that are due to perception related problems.