Our mission is to transform how people and machines work together to push the boundaries of human productivity. A leader in Industrial AI, Augury helps the world’s manufacturers leverage real-time production insights to drive new levels of efficiency. Combining predictive and prescriptive AI technology with industry expertise, production teams can proactively address alerts, minimize downtime, reduce asset costs, and maximize yield and capacity. Our customers achieve payback in six months or less, enabling global scale. We're looking for team members excited to partner with the world's manufacturers and build the future of production together. As a Remote Operations Engineer you will be at the forefront of the Process Engineering as a Service (PEaaS, a revolutionary initiative bridging the gap between traditional manufacturing and AI-driven automation. You will provide human oversight and domain expertise to our AI agents, solving critical operational challenges like high turnover and staffing shortages in industrial environments. This is a unique opportunity to move from traditional on-site process engineering to a tech-forward, remote role where you will directly influence the scalability of AI in manufacturing. A Day In Your Life Continuous Monitoring: Utilize AI-powered dashboards to monitor production performance, process conditions, and critical operating metrics for industrial manufacturing lines. Anomaly Management: Review AI-generated alarms and process deviations; surface and prioritize anomalies to ensure operational continuity. Real-time Coordination: Act as a critical liaison between Augury's AI insights and on-site personnel, guiding operational workflows and supporting operators with day-to-day decisions via Teams or VoIP. Documentation & Handoffs: Maintain meticulous operational logs and key event documentation, ensuring structured handoffs between night shifts and day-time on-site teams. Domain Expertise: Provide human-in-the-loop escalation support, applying your manufacturing background to troubleshoot complex industrial process issues. What You Bring Educational Background: Bachelor’s degree in Process Engineering, Chemical Engineering, Manufacturing Operations, or a related technical field. Industry Experience: 4–8 years of experience operating, monitoring, troubleshooting, and optimizing industrial manufacturing processes. Technical Proficiency: Hands-on experience with industrial systems including DCS, SCADA, Historians (e.g., AVEVA), and Industrial Automation. Analytical Mindset: Proven ability to analyze complex data sets and draw professional conclusions to improve manufacturing efficiency and yield. Communication: Excellent verbal and electronic communication skills, with the ability to lead technical discussions and build credibility with on-site engineering teams.

Nice to Have

Continuous Improvement: Experience with Six Sigma, Lean Manufacturing, or Process Optimization methodologies. Instrumentation & Controls: Familiarity with I&C systems and wireless OT connectivity protocols. AI/ML Interest: A passion for how AI agents can reduce routine monitoring loads and enhance human decision-making. Augury is a people-first organization. We believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and we welcome those from all backgrounds and varying experiences. We are committed to providing employees with a work environment free of discrimination and harassment. We believe that diversity is more than just good intentions, and we are committed to creating an inclusive environment for all employees. Augury is a proud equal opportunity employer, we strive to create a work environment in which everyone, all applicants, employees, customers, guests, and vendors feel safe and comfortable. We commit to maintain a workplace that is free of any type of harassment and does not tolerate anyone intimidating, humiliating, or hurting others. We prohibit willful discrimination based on age, gender, ethnicity, race, color, religion, political opinions, sexual orientation, sexual identity or expression, military or veteran status, disability or any other characteristic protected by law.