Engineering Manager, Freight Tech & Analytics

DAT Freight Solutions

Seattle (WA)

Hybrid

USD 183,000 - 260,000

Full time

14 days+

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Benefits offered by this job

Medical benefits
Parental leave
Flexible vacation
401k matching
Employee stock purchase
Transit pass
Wellness programs

Job summary

DAT Freight & Analytics is seeking an Engineering Manager to lead the digital backbone powering our freight marketplace. You will combine technical leadership with mission-driven impact, guiding the application development process with a strong partnership with Product Management, UX, and Data Scientists.

You will mentor a diverse engineering team, focus on operational excellence, and drive high-impact features while maintaining reliability and performance in a hybrid/Washington-based

Qualifications

  • 3+ years in engineering management leadership roles.
  • Ability to mentor and lead technical projects with high ambiguity.
  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

Responsibilities

  • Act with Integrity and Ownership: serve as a technical stakeholder who unblocks the team and resolves high-severity issues.
  • Deliver Customer Value at Speed: orchestrate end-to-end delivery of high-impact features with Product Managers and Designers.
  • Ensure Operational Reliability: champion rigorous code reviews, automated testing, and CI/CD for high availability.
  • Build and Mentor a World-Class Team: hire, coach, and retain top engineering talent to foster growth.
  • Collaboration: work with product, DevOps, UX, and data scientists.

Skills

Engineering management
Mentorship
Technical leadership
Complex systems

Education

Bachelor's degree in Computer Science or related field

Job description

DAT Freight & Analytics is seeking an Engineering Manager to lead the digital backbone powering our freight marketplace. You will combine technical leadership with mission-driven impact, guiding the application development process with a strong partnership with Product Management, UX, and Data Scientists.

You will mentor a diverse engineering team, focus on operational excellence, and drive high-impact features while maintaining reliability and performance in a hybrid/Washington-based

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