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UptimeAI

Customer Success Engineering – Oil & Gas

Posted 2 hours ago
2-5 years experience
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AI Summary

Perform remote monitoring of Oil & Gas assets and analyze AI-generated alerts to determine failure modes and operational impact. Collaborate with cross-functional teams to validate alerts, improve model performance, and drive measurable customer value.

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.

  • Work with customer teams to validate alerts, capture outcomes, and continuously improve the quality and usefulness of remote monitoring.

  • Monitor model performance and identify opportunities for model tuning, retraining, or additional data/configuration to maintain high levels of accuracy.

  • Apply knowledge of Oil & Gas equipment, reliability, and condition monitoring to interpret asset behavior and support root-cause analysis.

  • 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.

  • Contribute to customer case studies, value stories, and internal success summaries.

  • Identify process and workflow improvements that increase customer adoption and the effectiveness of remote monitoring.

  • 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.

  • Strong analytical and problem-solving skills, with the ability to connect technical observations to operational impact.

  • Strong written and verbal communication skills and the ability to work with both plant/reliability teams and non-technical stakeholders.

  • 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

  • Oil & Gas Industry Expertise by working across Oil & Gas customers and gaining exposure to different facilities, assets, and operating environments.

  • Enterprise Customer Experience through direct interaction with reliability, maintenance, and operations teams.

  • Industrial AI Experience by seeing how AI models detect anomalies, generate alerts, and support operational decisions.

  • Rotating Equipment & Reliability Expertise through exposure to real-world equipment behavior and failure modes.

  • 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.

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