AI-Native Engineering Manager (Hybrid Sydney)

Relevance AI

United States

Hybrid

USD 127,000 - 162,000

Full time

14 days+
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Benefits offered by this job

ESOP – Employee Stock Ownership Plan
AI Productivity Benefit
Parental Leave
Milestone Merch
Food, Drinks & Community
Quarterly Team Events
Social Clubs
Sonder EAP

Job summary

Relevance AI in Sydney, Australia, is seeking an Engineering Manager to lead a small AI-native team building the next generation of enterprise AI agents. You’ll guide architecture, code quality, and delivery while staying hands-on enough to mentor and unblock the team.

You’ll partner with product, customer success, and founders, shaping roadmap, optimizing for outcomes, and coaching 4–8 engineers. Experience in distributed systems, backend services, and AI tooling is valued; you’ll contribute to

Qualifications

  • Experience leading AI-native engineering teams with 4–8 engineers.
  • Strong product thinking and customer outcomes focus.
  • Proven track record in hiring and mentoring engineers.

Responsibilities

  • Lead a high-performing AI-native engineering team delivering enterprise AI agents.
  • Set technical direction, review designs, ensure code quality and reliability.
  • Collaborate with product, customers and founders to achieve outcomes.
  • Mentor engineers and drive hiring and performance.

Skills

AI-native engineering
People leadership
Product thinking
Hiring excellence
Technical credibility

Education

Bachelor’s degree in Computer Science or related field

Tools

Backend: Node.js/Express
Frontend: React
Databases: PostgreSQL
Cloud: AWS
Kubernetes
AI tooling: Claude Code

Job description

Relevance AI in Sydney, Australia, is seeking an Engineering Manager to lead a small AI-native team building the next generation of enterprise AI agents. You’ll guide architecture, code quality, and delivery while staying hands-on enough to mentor and unblock the team.

You’ll partner with product, customer success, and founders, shaping roadmap, optimizing for outcomes, and coaching 4–8 engineers. Experience in distributed systems, backend services, and AI tooling is valued; you’ll contribute to

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