• The Field Engineer acts as the bridge between engineering, operations, commercial, and quality teams • Leading the design and delivery of scalable technical solutions • Developing automations and integrations using Python and JavaScript • Improving data and workflow quality • Advising both technical and non-technical teams • Serving as a subject-matter expert in operational efficiency through technology • Designing and building technical solutions, including internal tools, scripts, and automations • Collaborating with stakeholders to identify pain points and translate them into actionable engineering tasks • Troubleshooting and optimizing platform integrations

• Install, support, troubleshoot, and repair Intuitive products in assigned territory • Perform scheduled maintenance activities including system inspections and preventive maintenance • Troubleshoot, diagnose, and repair all Intuitive products • Coordinate and perform system delivery and installation • Support Intuitive teams and provide feedback to HQ • Conduct training sessions at ISI and facilities • Maintain territory including responding to customer needs and supporting training

• Install, support, troubleshoot, repair, and maintain all Intuitive products • Perform scheduled maintenance activities including inspections, preventive maintenance, software updates, and upgrades • Troubleshoot, diagnose, and repair all Intuitive products within specified timeframes • Coordinate and perform system and hardware delivery and installation • Complete all administrative duties including Spare parts inventory, Field Activity Reports, and Expense Reports • Maintain all Intuitive provided items such as tooling and vehicles • Support Intuitive teams to facilitate company objectives • Complete required training items and maintain aspects of the assigned territory

• Hire and develop a team of deeply technical field engineers capable of guiding AI native customers across a wide range of data, analytical, and AI workloads. • Adapt the team's skills and engagement model to match the needs of digital and AI native customers • Consistently meet or exceed targets by making sure the team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle • Travel to customer sites for executive sessions, technical workshops, and building relationships • Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team • Stay current with emerging Data and AI trends in the digital native tech sector