
AI Reliability Lead
1 day ago
We're a technology company dedicated to empowering operations teams with innovative tools to make work safer, more productive and profitable.
Our platform combines industry leading AI with complete visibility and control, reducing manual workloads by automating tasks.
We have over 100,000 customers across various industries who rely on us for their business needs. We're seeking an experienced Engineering Manager to lead our newly formed AI reliability team.
This team will play a critical role in ensuring AI-powered features operate with high precision and consistency in production environments.
The successful candidate will oversee engineers and analysts focused on data analysis, debugging and root-causing production issues.
Responsibilities- Lead the development of a high-performing engineering team focused on AI system reliability.
- Collaborate with cross-functional teams to detect, diagnose and mitigate failures and degradation across AI features in production.
- Design tools and processes to surface anomalies and performance regressions.
- Drive initiatives to improve monitoring, observability and data quality.
- Oversee data analysis and AI system workflows to improve model performance.
- Develop and maintain technical documentation for AI workflows.
- Monitor key AI performance metrics and implement strategies for optimization.
- Minimum 2 years of experience managing high-performing engineering teams in AI or related fields.
- Strong understanding of AI feature development lifecycles and data pipelines.
- Proven experience with root cause analysis, reliability engineering or debugging complex systems.
- Strong analytical mindset and ability to dig deep into data.
- Experience working cross-functionally with ML researchers, product managers and customer success teams.
- Excellent communication and leadership skills.
- Proficiency in Python and SQL for data processing and reporting.
Bonus Points:
- Prior experience with cloud-based infrastructure and DevOps practices.
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