Customer Success Engineering - Power
uptimeai · Bengaluru
- Experience2–4 yrs
- SalaryNot disclosed
- Work moderemote
- Posted29 Sept 2026
About uptimeai
uptimeai is hiring in Bengaluru in manufacturing industrial. This role looks for around 2+ years of experience.
Skills
- condition monitoring
- reliability engineering
- predictive maintenance
- rotating equipment
- root-cause analysis
- power generation
- remote monitoring
- asset performance management
- RCM
- FMEA
- vibration analysis
The role
A customer success engineer at an industrial AI company interprets condition monitoring and reliability engineering insights for power-generation assets, investigates predictive maintenance alerts, and connects equipment behavior to operational value. The role applies rotating equipment expertise and root-cause analysis while supporting customer teams and technical stakeholders.
Full job description
Customer Success Engineering – Power
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 power 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 power generation industry, particularly in reliability engineering, rotating equipment, condition monitoring, maintenance, or remote monitoring.
Key Responsibilities
- Perform remote monitoring of power-generation assets, with a focus on rotating equipment such as gas/steam turbines, generators, pumps, compressors, fans, and motors.
- 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 power-generation 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 power generation 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 power-generation equipment, particularly rotating equipment such as turbines, generators, pumps, compressors, fans, or 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
- Power Industry Expertise by working across power-generation customers and gaining exposure to different plants, 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.