Senior AI Systems Leader

2 days ago

Rawalpindi Cantonment, Pakistan beBeeEngineering Full time $196,250 - $243,312
Job Description

Motive empowers people who run physical operations with tools to make their work safer, more productive, and profitable.

We combine industry-leading AI with a single system for managing drivers, vehicles, equipment, and fleet-related spend. This gives complete visibility and control while reducing manual workloads by automating and simplifying tasks.

With over 100,000 customers across various industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector, we serve everyone from Fortune 500 enterprises to small businesses.

About the Role

We seek an experienced and impact-driven Engineering Manager to lead a newly formed team focused on reliability, robustness, and performance of our AI features and services.

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

You will build and grow a team of engineers and analysts focused on data analysis, debugging, root-causing production issues, and figuring out long tails of failures and corner cases across AI stacks.

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 AI system performance.

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

  • 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.
  • Flexible to work across PK - US time zones

We are committed to creating a diverse and inclusive workplace. We welcome people of different backgrounds, experiences, abilities, and perspectives.

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