AI System Reliability Leader

2 hours ago


Hyderabad City Taluka, Pakistan beBeeEngineering Full time 1,800,000 - 2,700,000

Motive empowers people who run physical operations with tools to make their work safer, more productive, and profitable. Our platform gives you complete visibility and control over your drivers, vehicles, equipment, and fleet-related spend.

We serve 100,000+ customers across various industries, including transportation, logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

About the Role

As an Engineering Manager, you will lead a team focused on the reliability, robustness, and performance of AI features and services. You will be responsible for building and growing a team of engineers and analysts to detect, diagnose, and mitigate failures and degradation across AI features in production.

You will partner closely with applied AI teams, product engineering, QA, customer success, and customer support to close the loop between real-world usage and in-field behavior and the performance of our AI systems.

Responsibilities
  • Build, manage, and mentor a high-performing engineering team focused on AI system reliability.
  • Lead efforts to detect, diagnose, and mitigate failures and degradation across AI features in production.
  • Design tools, dashboards, and processes to surface anomalies, performance regressions, and edge cases.
  • Drive cross-functional initiatives to improve monitoring, observability, and data quality.
  • Oversee data analysis, annotation processes, and AI system workflows to improve model performance.
  • Develop and maintain technical documentation for AI workflows, ensuring clarity and efficiency.
  • Monitor key AI performance metrics and implement strategies for optimization.
  • Champion a culture of ownership, rigor, and continuous learning within the team.
  • Actively coordinate and share data insights with research groups within Motive to improve product and customer experience.
Requirements
  • At least 2 years of experience managing high-performing engineering teams, preferably in AI, ML infrastructure, or production systems.
  • A 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.
  • A 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.
  • Excellent communication and leadership skills; ability to drive clarity in ambiguous environments.
  • Proficiency in Python and SQL for data processing and reporting.
  • Flexibility to work across multiple time zones.


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