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UptimeAI

AI-driven predictive maintenance for industrial operations

Technical Account Manager

Customer SuccessPosted on Nov 13
Full-timeUnited Arab EmiratesNo salary listed

About the Job

Requirements

  • At least 10 years of experience in Oil & Gas, Chemicals, Petrochemicals, or Utilities; Oil & Gas experience is required.
  • A degree in Mechanical Engineering, Chemical Engineering, or a related field is required.
  • A solid understanding of the Oil & Gas industry and plant operations is required.
  • Strong understanding and experience in reliability engineering, predictive maintenance, and asset performance management are required.
  • Technical experience with products such as predictive maintenance solutions is required.
  • Strong relationship management skills and the ability to grow accounts are required.
  • Exposure to reliability concepts such as Reliability-Centered Maintenance (RCM), Failure Mode and Effects Analysis (FMEA), condition monitoring, or vibration analysis is required.
  • Comfort working with data, dashboards, and analytical tools is required.
  • Curiosity, attention to detail, and interest in applying artificial intelligence and analytics to industrial operations are required.
  • Strong written and verbal communication skills and the ability to work effectively with technical and non-technical stakeholders are required.
  • Familiarity with Software as a Service (SaaS) platforms, analytics tools, or industrial software is required.

Responsibilities

  • Build and maintain strong relationships with customer teams, and grow accounts by identifying opportunities to expand the use of UptimeAI across the plant.
  • Support alert management within the UptimeAI platform by reviewing, categorizing, validating, and documenting alerts and outcomes.
  • Monitor equipment and model performance and identify opportunities for model retraining and optimization.
  • Work with customer teams to validate alerts and determine whether recommended actions are practical within their operating environment.
  • Quantify and track customer value, including cost avoidance, reduced downtime, improved reliability, and performance improvements.
  • Contribute to customer case studies, value stories, and internal success summaries.
  • Support customer meetings, technical discussions, training sessions, and operational or performance reviews.
  • Identify opportunities to improve customer adoption of UptimeAI.
  • Collaborate with Technical Consultants, Customer Success Managers, and Product teams to improve customer experience and platform outcomes.

About the Company

UptimeAI

AI-driven predictive maintenance for industrial operations

UptimeAI provides AI-driven predictive maintenance and operational efficiency solutions for industrial users. Its platform uses deep learning to learn how different parts of an operation interact, which lowers alarm fatigue and delivers precise alerts that identify the root cause of issues. This helps clients in sectors like chemicals, utilities, oil, metals, and aerospace reduce unscheduled maintenance and improve reliability. The product is delivered via a subscription model, giving ongoing access to software and support. UptimeAI differentiates itself through its system-level approach to relate components within an operation, focus on reducing maintenance costs and disruptions, and a team of industry experts and data scientists. The company aims to help customers save time and money by improving reliability and efficiency while maintaining margins.

Company size
51-200
Company stage
Series A
Total funding
$19M
Headquarters
South San Francisco, CA
Founded
2019

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