{"id":1465700,"url":"https://alion.io/job/uptimeai-customer-success-engineering-power","title":"Customer Success Engineering - Power","company":{"id":177963,"name":"UptimeAI","domain":"uptimeai.com","url":"https://alion.io/company/uptimeai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":87,"open_postings":13,"ghost_share":0,"stale_share":0.538,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Customer Success","role_family":"Customer Success","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":5500,"max_usd":14000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"FMEA","optional":false}],"status":"live","first_seen_at":"2026-09-29T11:02:53Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-21T21:21:42Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"Customer Success Engineering - Power\nAs 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.\nThis 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.\nKey Responsibilities\nPerform remote monitoring of power-generation assets, with a focus on rotating equipment such as gas/steam turbines, generators, pumps, compressors, fans, and motors.\n\nReview, triage, and analyze AI-generated alerts, helping determine potential failure modes, severity, and recommended next steps.\n\nWork with customer teams to validate alerts, capture outcomes, and continuously improve the quality and usefulness of remote monitoring.\n\nMonitor model performance and identify opportunities for model tuning, retraining, or additional data/configuration to maintain high levels of accuracy.\n\nApply knowledge of power-generation equipment, reliability, and condition monitoring to interpret asset behavior and support root-cause analysis.\n\nQuantify and track customer value, including downtime avoidance, cost avoidance, risk reduction, and improved equipment availability/reliability.\n\nSupport customer operational reviews, performance reviews, training sessions, and discussions around identified equipment issues.\n\nContribute to customer case studies, value stories, and internal success summaries.\n\nIdentify process and workflow improvements that increase customer adoption and the effectiveness of remote monitoring.\n\nCollaborate with Customer Success, Technical Consulting, Product, and Engineering teams to ensure accurate documentation and consistent monitoring practices across accounts.\n\nWho You Are\n2-4 years of experience in the power generation sector, ideally in reliability, maintenance, rotating equipment, condition monitoring, or plant operations.\n\nBachelor's degree in Mechanical Engineering, Electrical Engineering, Chemical Engineering, or a related engineering discipline.\n\nHands-on experience with power-generation equipment, particularly rotating equipment such as turbines, generators, pumps, compressors, fans, or motors.\n\nExperience with remote monitoring, condition monitoring, predictive maintenance, or asset performance management.\n\nUnderstanding of reliability concepts such as RCM, FMEA, vibration analysis, failure modes, and root-cause analysis.\n\nComfortable working with plant data, trends, dashboards, and analytical tools to investigate equipment behavior.\n\nStrong analytical and problem-solving skills, with the ability to connect technical observations to operational impact.\n\nStrong written and verbal communication skills and the ability to work with both plant/reliability teams and non-technical stakeholders.\n\nFamiliarity with SaaS platforms, analytics tools, industrial software, or AI/ML applications is a plus.\n\nCurious, proactive, detail-oriented, and comfortable working in a remote, customer-facing environment.\n\nWhat You'll Gain\nPower Industry Expertise by working across power-generation customers and gaining exposure to different plants, assets, and operating environments.\n\nEnterprise Customer Experience through direct interaction with reliability, maintenance, and operations teams.\n\nIndustrial AI Experience by seeing how AI models detect anomalies, generate alerts, and support operational decisions.\n\nRotating Equipment & Reliability Expertise through exposure to real-world equipment behavior and failure modes.\n\nValue & Impact Thinking by connecting technical insights to measurable outcomes such as downtime avoidance, availability, reliability, and cost savings.\n\nA clear growth path toward Customer Success, Technical Consulting, Reliability Engineering, or Industry Expert 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