
ControlRooms.ai helps chemical and heavy-industry plants detect anomalies earlier and resolve process issues faster to reduce unplanned disruptions. The platform applies AI and machine learning for time-series anomaly detection and an AI Trend Search that surfaces similar historical events to accelerate root-cause analysis. It integrates with industrial telemetry and messaging protocols (OPC, MQTT) and runs as a SaaS solution on cloud infrastructure (Azure) for rapid deployment and frontline adoption. Typical customers include chemical processors, energy and petrochemical facilities that use the system to shorten troubleshooting cycles and improve plant reliability.

ControlRooms.ai helps chemical and heavy-industry plants detect anomalies earlier and resolve process issues faster to reduce unplanned disruptions. The platform applies AI and machine learning for time-series anomaly detection and an AI Trend Search that surfaces similar historical events to accelerate root-cause analysis. It integrates with industrial telemetry and messaging protocols (OPC, MQTT) and runs as a SaaS solution on cloud infrastructure (Azure) for rapid deployment and frontline adoption. Typical customers include chemical processors, energy and petrochemical facilities that use the system to shorten troubleshooting cycles and improve plant reliability.
Founded: 2021
Headquarters: Austin, Texas
Product: AI SaaS for time-series anomaly detection and root-cause troubleshooting in chemical and heavy industries
Tech / Deployment: Integrates with OPC and MQTT; cloud SaaS on Microsoft Azure
Recent funding: Series A $10M (Aug 29, 2023); total funding $13.75M
| Company |
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Operational troubleshooting and anomaly detection for chemical, energy, petrochemical and materials plants.
2021
Data and Analytics
10000000
Series A announced Aug 29, 2023; reported as oversubscribed
“Origin Ventures led the Series A with participation from Amity Ventures, Tokio Marine Future Fund, S3 Ventures, GTM Fund, Alpha Square Group, FJ Labs, StratMinds and Alumni Ventures”
ControlRooms.ai is hiring a Process Engineer with hands-on plant operations experience to join our Process Engineering team, supporting industrial customers around the world. This is a fully remote role, and ControlRooms.ai operates as a remote-first company.
This role is focused on operating plant support and is not a traditional process design or EPC-based position.
This role is ideal for a process or operations engineer who has supported day-to-day operations in an operating plant environment , and who is interested in applying AI and machine learning software to improve real-world industrial performance.
Experience in refining is preferred. We also value experience in other large-scale industrial operations, including ammonia production, LNG, and polyethylene or other petrochemical plants.
This is a customer-facing role for someone who enjoys troubleshooting, understands how plants actually operate, and has an affinity for modern software, data, and emerging technologies.
Responsibilities
Qualifications
Note: Resumes must be submitted in English for consideration.
Why Join ControlRooms.ai?
ControlRooms.ai builds cutting-edge AI and machine learning software for industrial operations . Our platform is deployed at complex plants globally and is helping customers unlock millions of dollars in value through improved reliability, faster troubleshooting, and better operational decision-making.
You’ll join a fast-scaling, highly technical, remote-first team working at the intersection of process engineering, data, and modern software . This role offers the opportunity to apply real plant experience to high-impact ML products, influence how the platform evolves, and help bring advanced AI capabilities into industrial environments that are rapidly adopting them.