Bachelor’s Degree in Engineering (Industrial, Mechanical, Computer Science, or related field), Finance, or equivalent experience
Proven experience in forward-deployed roles across full project lifecycles—from on-site setup and integration to troubleshooting and commissioning—in manufacturing, renewable energy, or industrial infrastructure settings
Demonstrates experience or curiosity with software or automation techniques. Includes software tools and platforms like SQL for database querying; Python, C-Sharp, and R for statistical analysis; visualization tools like Tableau and Power BI; and hands-on experience with real-time data pipelines (e.g., Apache Kafka or AWS Kinesis)
Strong software engineering skills, including version control with Git, containerization and orchestration using Docker and Kubernetes, CI/CD pipelines (e.g., Jenkins or GitHub Actions), and familiar with deployment pipelines
Experience with automation scripting (e.g., Bash, Ansible) and integrating software with hardware systems, such as IoT devices or embedded systems, to enable real-time monitoring and deployment in field settings
Demonstrated ability to deploy and scale analytics solutions on-site, including setting up KPIs, automating local reporting, and integrating insights into daily workflows under tight deadlines
Experience in cross-functional, forward-deployed teams involving engineering, procurement, construction, and finance—navigating ambiguity and adapting to fast-paced, remote-site challenges
A first-principles approach to deployment: questioning on-site assumptions, innovating with available resources, and optimizing processes, materials, and sequencing in real time
Strong field presence: You communicate technical issues clearly and confidently, whether in high-stakes site meetings, remote syncs, or hands-on troubleshooting sessions

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