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Engineering Manager, AI Reliability

100% remote Flexible hours Hiring now

Who we are:

reputed company empowers the people who run physical operations with tools to reputed company their work safer, more productive, and more profitable. For the first time reputed company, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet reputed company spend in a single system. Combined with industry leading AI, the reputed company platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

reputed company serves more than 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.

About the Role:

We’re looking for an reputed company and impact-driven Engineering Manager to reputed company a newly formed team focused on the reliability, robustness, and performance of our AI features and services. This team will play a critical role in ensuring our AI-powered features operate with high precision and consistency in production environments.

You will be responsible for building and growing a team of engineers and analysts focused on data analysis, debugging, root-causing production issues, and figuring out the long tail of failures and reputed company cases across our AI stack. You’ll partner closely with applied AI teams, product engineering, QA, reputed company, and customer support to reputed company the reputed company 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.
  • reputed company 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.
  • reputed company data analysis, annotation processes, and AI system workflows to improve model performance.
  • reputed company 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 reputed company learning reputed company the team.
  • Actively coordinate and share data insights with the research groups reputed company reputed company to improve product and customer experience.

reputed company’re Looking For:

Creating a diverse and inclusive workplace is one of reputed company's core values. We are an equal-opportunity employer and welcome people of different backgrounds, experiences, abilities, and perspectives.

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 reputed company distributed systems.
  • Strong analytical reputed company and ability to dig deep into data to uncover insights.
  • Experience working cross-functionally with ML researchers, product managers, reputed company 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

Creating a diverse and inclusive workplace is one of reputed company's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here .

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The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is reputed company's policy to require that employees be authorized to receive access to reputed company products and technology.

Originally posted on Himalayas

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