
AI System Reliability Leader
20 hours ago
We are seeking a seasoned leader to spearhead our AI engineering efforts. As an Engineering Manager, Data Analytics, you will be responsible for building and managing high-performing teams focused on AI system reliability.
Key responsibilities include leading efforts to detect, diagnose, and mitigate failures and degradation across AI features in production, designing tools and dashboards to surface anomalies, and driving cross-functional initiatives to improve monitoring and data quality.
Additionally, you will oversee data analysis and annotation processes, develop technical documentation, and monitor key AI performance metrics to implement strategies for optimization.
Requirements- At least 2 years of experience managing high-performing engineering teams in AI, ML infrastructure, or production systems.
- Strong understanding of AI feature development lifecycles, data pipelines, model debugging, and post-deployment validation.
- Proven experience with root cause analysis, reliability engineering, or debugging complex distributed systems.
- Excellent communication and leadership skills, with ability to drive clarity in ambiguous environments.
- Proficiency in Python and SQL for data processing and reporting.
Our company empowers people who run physical operations with tools to make their work safer, more productive, and profitable. We have served over 100,000 customers across various industries, including transportation, logistics, construction, energy, and more.
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