
AI Reliability Engineering Lead
17 hours ago
We are looking for a seasoned leader to head our AI system reliability team. This individual will be responsible for building and managing a high-performing team focused on the robustness, performance, and reliability of our AI features.
Responsibilities
- Build a strong engineering team to ensure the reliability and efficiency of our AI systems.
- Lead efforts to detect, diagnose, and mitigate failures across AI features in production.
- Design tools to surface anomalies and performance regressions.
- Drive cross-functional initiatives to improve monitoring and data quality.
- Oversee data analysis and AI system workflows to enhance model performance.
- Develop technical documentation for AI workflows, ensuring clarity and efficiency.
- Monitor key AI performance metrics and implement strategies for optimization.
Requirements
- 2+ years of experience leading high-performing engineering teams.
- Strong understanding of AI feature development lifecycles and data pipelines.
- Proven experience with root cause analysis, reliability engineering, or debugging complex distributed systems.
- Strong analytical mindset and ability to dig deep into data to uncover insights.
- Experience working cross-functionally with ML researchers and product managers.
- Excellent communication and leadership skills.
- Proficiency in Python and SQL for data processing and reporting.
About Us
Motive empowers teams with tools to make their work safer, more productive, and profitable. The platform gives complete visibility and control, reducing manual workloads by automating tasks.
Motive serves 100,000 customers across various industries.
Benefits
- Opportunity to lead a high-performing team and drive business growth.
- Chance to work on cutting-edge AI technology and contribute to its development.
- A collaborative and dynamic work environment that fosters innovation and learning.
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