Technical Account Manager - Oman
Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Nov 13, 2026. UptimeAI scores B on the Alion truth index.
Technical Account Manager
About UptimeAI:
UptimeAI provides AI reasoning agents that help industrial operations teams make goal-oriented, real-time decisions.
Industrial facilities are rich in data but constrained by the expertise required to maintain and interpret it. As experienced engineers retire and operational complexity grows, organizations struggle to scale the expert judgment needed to maintain reliability, safety, and performance.
UptimeAI addresses this challenge by embedding engineering reasoning directly into AI agents that continuously analyze operational data, diagnose issues, and guide teams toward the best actions. The result is faster decisions, reduced downtime, improved efficiency, and stronger operational performance.
Location: Oman
Experience: 10+ years
Department: Sales & BDM
Role overview
As a Technical Account Manager at UptimeAI, you will own post-sales customer success and engagement for our Oil & Gas customers in Oman. You will help them improve plant reliability, equipment performance, and operational outcomes through the UptimeAI platform. You will apply your industry and engineering knowledge to monitor industrial assets, evaluate AI-generated alerts, identify potential equipment issues, and help customers realize measurable operational value.
You will work closely with Customer Success Managers, Technical Consultants, and Product teams to understand customer operations, validate AI insights, and translate technical findings into actionable recommendations. You will also build strong customer relationships and grow accounts over time.
Key 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 understand 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 continuously improve customer experience and platform outcomes
Qualifications
10+ years of experience in Oil & Gas, Chemicals, Petrochemicals, or Utilities, with Oil & Gas experience required
Degree in Mechanical Engineering, Chemical Engineering, or a related field
Solid understanding of the Oil & Gas industry and plant operations
Strong understanding and experience in reliability engineering, predictive maintenance, and asset performance management
Technical experience with products such as predictive maintenance solutions
Strong relationship management skills, with the ability to grow accounts
Exposure to reliability concepts such as RCM, FMEA, condition monitoring, or vibration analysis
Comfortable working with data, dashboards, and analytical tools
Curious and detail-oriented, with an interest in understanding how AI and analytics can improve industrial operations
Strong written and verbal communication skills, and the ability to work effectively with both technical and non-technical stakeholders
Familiarity with SaaS platforms, analytics tools, or industrial software
Why join UptimeAI
Deep Oil & Gas experience: work with real plants, equipment, operating data, and reliability challenges
Customer management experience: work closely with Customer Success Managers and enterprise customers
Applied AI experience: see how AI models detect anomalies, generate alerts, and identify potential equipment issues
Reliability and asset performance expertise: gain exposure to real-world equipment failures, maintenance strategies, and operational decisions
Value and impact thinking: learn how technical insights translate into measurable improvements in reliability, downtime, and plant performance
Customer-facing skills: participate in technical discussions, workshops, training, and performance reviews
Career growth: a clear path toward roles such as Technical Consultant or Customer Success Manager
Mentorship from senior industry and technical experts