Senior AI-Powered Engineering Manager

HRB

Gisborne

Hybrid

NZD 170,000 - 250,000

Full time

4 days ago
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Job summary

HRB in New Zealand seeks a Senior Engineering Manager to lead engineering teams building AI-powered data connectivity solutions. You will blend people leadership, technical judgment, and execution to help teams deliver high-quality software quickly while shaping operating practices and technical direction.

You will own delivery, foster a discovery-enabled, AI-assisted development approach, coach engineers, manage capacity, dependencies and risks, and collaborate with Product and Engineering

Qualifications

  • 8+ years of software engineering experience in enterprise or SaaS environments.
  • 4+ years of engineering management or people leadership.
  • Experience leading multiple teams and stakeholders.
  • Proven ownership of execution, delivery, and development workflows.
  • Experience with cloud platforms and architecture.

Responsibilities

  • Lead and develop engineering teams with coaching and performance management.
  • Hire, onboard, and develop engineering talent.
  • Own execution and delivery across teams with clear priorities and dependencies.
  • Establish operating rhythms, planning, backlog readiness, and delivery tracking.
  • Foster AI-assisted development practices and early discovery collaboration with Product.
  • Ensure production reliability via on-call, SLOs, and postmortems.

Skills

People leadership
Technical judgment
Execution & delivery
Team development
Cloud leadership

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Kubernetes
Azure
Java/Kotlin
AI/ML tooling

Job description

HRB in New Zealand seeks a Senior Engineering Manager to lead engineering teams building AI-powered data connectivity solutions. You will blend people leadership, technical judgment, and execution to help teams deliver high-quality software quickly while shaping operating practices and technical direction.

You will own delivery, foster a discovery-enabled, AI-assisted development approach, coach engineers, manage capacity, dependencies and risks, and collaborate with Product and Engineering

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