Chief AI Reliability Engineering Officer

15 hours ago

Gujranwala, Punjab, Pakistan beBeeEngineering Full time $155,200 - $192,000

About Us

We're on a mission to empower people who run physical operations with tools to make their work safer, more productive and profitable.

We serve over 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 experienced Chief AI Reliability Engineering Officer, you'll lead a team focused on AI feature reliability, robustness and performance. This team will ensure our AI-powered features operate with high precision and consistency in production environments.

You'll build and grow a team of engineers and analysts to detect, diagnose and mitigate failures and degradation across AI features. You'll partner closely with applied AI teams, product engineering, QA, customer success and customer support to improve monitoring, observability and data quality.

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 to improve product and customer experience.

Requirements:

We're looking for someone with:

  • 2+ years of experience managing high-performing engineering teams, preferably 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.

We value diversity and inclusivity in the workplace.

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