• Lead by Example: Engage in personal growth and leadership development, modeling the change you aim to create and encouraging it in others. • Build and Support: Mentor, motivate, and contribute to a positive, growth-focused team environment. • Attract and Engage Talent: Identify and connect with aligned individuals who resonate with our mission and values. • Drive Digital Visibility: Support online marketing initiatives using social platforms to expand reach and engagement (training provided). • Guide Meaningful Conversations: Conduct structured discovery calls to understand individual goals and present relevant solutions. • Follow a Proven Outreach Process: Use established systems, scripts, and strategies to support engagement. • Manage Your Workflow: Organize your schedule independently to align with performance goals and personal productivity.

• Advise and support our clients on all matters of occupational safety and health • Conduct risk assessments and regular safety inspections • Develop practical and sustainable measures to prevent workplace accidents and support their implementation • Deliver training and instruction for employees • Participate in internal projects and management systems in the field of occupational safety • Continuously monitor changes in legislation to integrate them into practical measures

• Travel to various customer sites in the US and Canada to complete the installation of various types of Safe Fleet equipment • Setup verify new units ensuring they come online, as well as final commission and testing so waste truck is ‘Ready for Dispatch’ • Troubleshoot system and components, effect repairs and/or replacements due to components being defective or damaged, including re-programming or re-imaging existing equipment • Customer and technician training.

• Work on the development and maintenance of AI solutions and cognitive platforms; • Support business areas with predictive, data-driven analyses; • Develop Machine Learning and Deep Learning models; • Work with large volumes of data (Big Data); • Build and enhance expert systems, chatbots and cognitive engines; • Apply data mining and text mining techniques; • Participate in data modeling and data architecture; • Implement supervised, unsupervised and reinforcement learning algorithms; • Work on initiatives involving IoT, automation and intelligent solutions; • Contribute to innovation, continuous improvement and data-driven decision making.