Senior AI Reliability Lead

12 hours ago

Faisalabad City Tehsil, Pakistan beBeeEngineering Full time $150,000 - $250,000

About Motive

Motive empowers people running operations with tools to make work safer, more productive and profitable.

The company serves over 100,000 customers across industries. It combines industry-leading AI with a single system for managing drivers, vehicles, equipment, and fleet-related spend.

About the Role

Lead experienced engineers in data analysis, debugging, root-causing production issues and addressing failures and corner cases across the AI stack.

This team plays a critical role in ensuring AI-powered features operate with high precision and consistency in production environments.

Responsibilities

  • Manage engineers and analysts in data analysis, debugging, root-causing production issues and addressing failures and corner cases.
  • Partner 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 AI system performance.
  • Develop tools, dashboards and processes to surface anomalies, performance regressions and edge cases.
  • Drive initiatives to improve monitoring, observability and data quality.
  • Oversee data analysis, annotation processes and AI system workflows to enhance model performance.
  • Monitor key AI performance metrics and implement strategies for optimization.
  • Champion a culture of ownership, rigor and continuous learning within the team.
  • Coordinate and share data insights with research groups to improve product and customer experience.

Requirements

  • 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.
  • 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.

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