
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
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”
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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 ideal for a
who has worked in operating plants and 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
Support deployment, validation, and tuning of AI/ML-driven alerts and diagnostic insights
for operating plants
Analyze plant operating data to identify abnormal conditions, alarm patterns, and root causes
Collaborate closely with customer-facing teams to ensure models reflect real plant behavior
Improve plant troubleshooting and reliability by reducing mean time to detection (MTTD)
and mean time to resolution (MTTR)
Act as a technical partner to customers, translating operational knowledge into practical, data-driven insights
Participate in occasional domestic and international travel
to customer sites as needed ( generally less than 25% travel
)
Qualifications
2+ years of experience
in process engineering, operations engineering, or production engineering
( 5+ years preferred
)
Hands-on experience in industrial plant operations
, including refineries, ammonia plants, LNG facilities, polyethylene, or other continuous-process operations
Comfort working directly with customers and communicating technical concepts clearly
Demonstrated curiosity or interest in industrial software, analytics, AI, or machine learning
Fluent in English
, with the ability to communicate clearly in both written and spoken contexts
B.S. in Chemical Engineering preferred
, but not required depending on depth and relevance of experience
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.