Engineering Manager — Build the Freight Tech Backbone

DAT Freight & Analytics

Denver (CO)

Hybrid

USD 170,000 - 226,000

Full time

11 days ago

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Benefits offered by this job

Medical, Dental, Vision
Parental Leave
Flexible Vacation Time
10 holidays per year
401k matching
Employee Stock Purchase Plan
Transit pass
Dedicated growth opportunities

Job summary

DAT Freight & Analytics in Denver, CO is seeking an Engineering Manager to build the digital backbone that powers our economy. You will combine technical leadership with mission-driven impact.

You will lead the application development process focusing on technical strategy, people management, and operational excellence; along with a strong partnership with Product Management, User Experience and Data Scientists.

Qualifications

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

Responsibilities

  • Act as a technical stakeholder and unblock the team when needed.
  • Deliver end-to-end features in collaboration with product managers and designers.
  • Champion operational reliability with code reviews, automated testing, and CI/CD.
  • Hire, coach, and retain engineering talent to foster growth and impact.
  • Collaborate with cross-functional teams including product, DevOps, UX, and data science.

Skills

Engineering leadership
Mentoring
Cross-functional collaboration

Education

Bachelor's degree in Computer Science or related field

Job description

DAT Freight & Analytics in Denver, CO is seeking an Engineering Manager to build the digital backbone that powers our economy. You will combine technical leadership with mission-driven impact.

You will lead the application development process focusing on technical strategy, people management, and operational excellence; along with a strong partnership with Product Management, User Experience and Data Scientists.

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