Manager Software Engineering - Ai & Embedded Innovation

Case Law Reporter

Raleigh, NC, United States
Base: $118,300 - $219,800; bonus/equity: eligible ...
Ai-first solutions
Modern ai development practices
Cloud-native development
This position provides technical and people leadership for software engineers delivering internal, AI-enabled products and platforms as part of the Embedded Innovation Program

Job Summary

  • This position provides technical and people leadership for software engineers delivering internal, AI-enabled products and platforms as part of the Embedded Innovation Program.
  • The role is responsible for leading small, high-impact engineering teams embedded with business domains to rapidly identify, prototype, deliver, and scale AI-driven solutions that improve employee productivity, decision quality, and operational speed.
  • We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people.

Matching Summary

This position provides technical and people leadership for software engineers delivering internal, AI-enabled products and platforms as part of the Embedded Innovation Program.

Salary

Base: $118,300 - $219,800; Bonus/Equity: eligible for an annual incentive bonus; Benefits: Health Benefits, Retirement Benefits, Wellbeing initiatives, Family Benefits, Spending Accounts

Skills & Requirements

Must-have

  • AI-first solutions
  • modern AI development practices
  • cloud-native development
  • scalable service architectures
  • Agile development practices

Nice-to-have

  • ethical AI deployment
  • rapid iteration
  • engineering excellence
  • continuous improvement

Key Requirements

  • 8+ years of professional software development experience
  • 2+ years of experience managing or leading software engineers
  • BS in Computer Science, Engineering, or equivalent experience
  • Experience delivering AI-enabled or data-driven products
  • Experience leading engineering teams building AI-enabled applications
  • Working knowledge of modern AI architectures
  • Proficiency in cloud-native development, APIs, and scalable service architectures
  • Experience with modern programming languages and frameworks
  • Working knowledge of SQL and NoSQL data stores
  • Familiarity with CI/CD pipelines, automated testing, observability, and production support

Work Rights

Not specified

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