
AI Reliability Engineer Manager
20 hours ago
We're looking for a seasoned Engineering Manager to lead our AI reliability team.
Job DescriptionThe successful candidate will oversee the development and growth of a high-performing engineering team focused on ensuring the robustness and performance of our AI features and services. This team will play a critical role in production environments, detecting, diagnosing, and mitigating failures and degradation across AI features.
Key responsibilities include building and managing a high-performing engineering team, leading efforts to detect and diagnose failures, designing tools and dashboards to surface anomalies, and driving cross-functional initiatives to improve monitoring and data quality.
Required Skills and Qualifications- At least 2 years of experience managing high-performing engineering teams, preferably in AI or ML infrastructure.
- 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.
- Strong analytical mindset and ability to dig deep into data to uncover insights.
- Experience working cross-functionally with ML researchers, product managers, customer success and support teams, and data engineers.
This role offers the opportunity to work on cutting-edge AI projects, collaborate with talented individuals, and drive meaningful impact. The ideal candidate will possess excellent communication and leadership skills, as well as proficiency in Python and SQL for data processing and reporting.
About Us
We empower physical operations with tools to make work safer, more productive, and profitable. Our platform serves over 100,000 customers across various industries.
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