AssetWatch®
AI-powered predictive maintenance platform for industrial asset monitoring.
Company facts
- Founded
- 2014
- Employees
- 350
- Headquarters
- United States
- CEO
- Brian Graham
- Type
- Private
- Funding
- Series C · $75M · 2025
About
AssetWatch powers manufacturing uptime by delivering an unparalleled proactive condition monitoring experience, with a passion to care about the assets our customers care for every day. We are a devoted and capable team that includes world-renowned engineers and distinguished business leaders united by a common goal – to be the world’s leading condition monitoring platform, eliminating unplanned downtime for manufacturing facilities across the globe.
Open positions
Machine Learning Engineer, Predictive Maintenance
Builds and deploys machine-learning models for predictive maintenance of industrial machinery, extracting fault signatures from vibration and other IIoT sensor data. The role owns end-to-end ML solutions — signal processing, CNN/RNN/LSTM model development, and production pipelines on AWS (SageMaker, S3, Athena, Spark).
Quality Assurance Engineer
QA Engineer at a climate-tech startup building predictive maintenance software for manufacturers; writes TypeScript/Playwright tests, automates CI/CD pipelines, and uses AI tools to validate web/mobile apps.
Senior Mobile Engineer
Build and lead Flutter mobile apps for industrial IoT, collaborating with backend teams on REST/GraphQL APIs and using AI-assisted tools like Claude Code to prototype and ship features.
Senior Full Stack Engineer
Build and evolve an industrial IoT SaaS platform using Node.js, React, TypeScript, AWS serverless, and AI-assisted tools to power predictive maintenance for global manufacturers.
Head of AI
Lead AI strategy and data-science teams at a predictive-maintenance startup, turning LLMs and ML models into measurable customer value and operational leverage.