What You Will Do:
- Define and execute AI strategy, partnering with executive leadership to define AssetWatch's AI-native vision, operating model, and roadmap.
- Lead the AI and Data Science organization, building, developing, and retaining high-performing data scientists, ML engineers, and AI engineers.
- Run intake, prioritization, and governance, establishing guardrails for AI tools and models without slowing adoption.
What We Are Looking For:
- 10+ years leading AI, machine learning, data science, or adjacent technical teams with a proven track record in strategy.
- Hands-on fluency with modern AI and data science, including production ML, MLOps, and LLMs.
- Strong business and leadership skills, connecting technical work to customer value, revenue impact, and risk reduction.
Nice To Have:
- Background in industrial technology, predictive maintenance, manufacturing, IoT, or condition monitoring.
- Experience with time-series data, signal processing, anomaly detection, or sensor-driven products.
- Experience with AWS, MLOps tooling, cloud data platforms, and enterprise SaaS integrations.
What We Offer:
- Competitive compensation package including stock options.
- Flexible work schedule and comprehensive benefits including retirement plan match.
- Unlimited PTO and a remote-first culture with a dynamic, growing team.
AssetWatch
AssetWatch powers manufacturing uptime by delivering condition monitoring solutions for global manufacturers. They are a devoted team of world-renowned engineers and distinguished business leaders united by a common goal to build the future of predictive maintenance.