Customer Success Engineering – Oil & Gas
As a Success Engineer at UptimeAI, you will play a key role in driving customer success through proactive remote monitoring, alert management, rotating equipment reliability, and value realization across the Oil & Gas sector.
You will work closely with Customer Success Managers, Technical Consultants, and Product teams to monitor customer assets, investigate AI-generated alerts, and help customers translate technical insights into measurable operational value.
This role is well-suited for an engineer with 2–4 years of experience in the Oil & Gas industry, particularly in reliability engineering, rotating equipment, condition monitoring, maintenance, or remote monitoring.
Key Responsibilities
Perform remote monitoring of Oil & Gas assets, with a focus on rotating equipment such as gas turbines, compressors, pumps, motors, fans, and other critical process equipment.
Review, triage, and analyze AI-generated alerts, helping determine potential failure modes, severity, and recommended next steps.
Quantify and track customer value, including downtime avoidance, cost avoidance, risk reduction, and improved equipment availability/reliability.
Support customer operational reviews, performance reviews, training sessions, and discussions around identified equipment issues.
Collaborate with Customer Success, Technical Consulting, Product, and Engineering teams to ensure accurate documentation and consistent monitoring practices across accounts.
Who You Are
2–4 years of experience in the Oil & Gas sector, ideally in reliability, maintenance, rotating equipment, condition monitoring, or plant operations.
Bachelor's degree in Mechanical Engineering, Electrical Engineering, Chemical Engineering, or a related engineering discipline.
Hands-on experience with Oil & Gas equipment, particularly rotating equipment such as gas turbines, compressors, pumps, fans, and motors.
Experience with remote monitoring, condition monitoring, predictive maintenance, or asset performance management.
Understanding of reliability concepts such as RCM, FMEA, vibration analysis, failure modes, and root-cause analysis.
Comfortable working with plant data, trends, dashboards, and analytical tools to investigate equipment behavior.
Familiarity with SaaS platforms, analytics tools, industrial software, or AI/ML applications is a plus.
Curious, proactive, detail-oriented, and comfortable working in a remote, customer-facing environment.
What You'll Gain
Value & Impact Thinking by connecting technical insights to measurable outcomes such as downtime avoidance, availability, reliability, and cost savings.
A clear growth path toward Customer Success, Technical Consulting, Reliability Engineering, or Industry Expert roles.