Remote Engineering Manager — AI-Driven Growth & Core Platforms

Relo Metrics

Dallas (TX)

On-site

USD 145,814 - 165,698

Full time

14 days+

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Benefits offered by this job

401(k) retirement plan
Bonus/ stock incentive program
Wellness benefits

Job summary

Relo Metrics is seeking an Engineering Manager to lead the Core and Growth engineering squads. You will oversee day-to-day management, mentor engineers, and ensure delivery in a high-performance environment. The role is remote, with a preference for proximity to Dallas, TX.

You will partner with Product and Analytics teams, drive hiring processes, and guide technical design and feature scoping. Strong Python/AWS, CV/Data Analysis experience, and distributed team leadership are essential.

Qualifications

  • Leadership experience (1–2+ years) leading technology teams.
  • 3–5 years of hands-on Software Engineering or AI/ML experience.
  • Familiarity with Computer Vision, Data Analysis, or platform scaling.

Responsibilities

  • Lead and mentor two engineering squads (Core and Growth).
  • Drive engineering recruitment, onboarding, and professional growth.
  • Collaborate with Product Management to scope features and align with business goals.
  • Improve engineering workflows to boost efficiency and velocity.
  • Contribute to codebase when needed to unblock milestones.
  • Champion AI-driven workflow adoption across the org.

Skills

Python
AWS
Cross-functional communication
Leadership
Software Engineering
Computer Vision
Data Analysis
Distributed teams
AI/ML

Education

Bachelors in CS
Masters in ML
PhD in CS

Job description

Relo Metrics is seeking an Engineering Manager to lead the Core and Growth engineering squads. You will oversee day-to-day management, mentor engineers, and ensure delivery in a high-performance environment. The role is remote, with a preference for proximity to Dallas, TX.

You will partner with Product and Analytics teams, drive hiring processes, and guide technical design and feature scoping. Strong Python/AWS, CV/Data Analysis experience, and distributed team leadership are essential.

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