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Relevance AI

Engineering Manager, AI

Relevance AI

Engineering Manager leading 4–8 engineers building AI-agent infrastructure for Relevance AI’s enterprise automation platform. Driving product outcomes, technical quality, hiring, and AI-native development practices.

Posted 8/5/2026full-timeSydney • 🇦🇺 AustraliaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong leadership in managing AI-native engineering teams, with a focus on product thinking and customer outcomes. Proficient in backend systems, APIs, and distributed systems, while contributing hands-on to the codebase and driving team performance.

Highest-signal resume keywords
AI-Native Engineering ManagementBackend Systems ExpertiseTeam Leadership and DevelopmentTechnical Decision-MakingCustomer-Focused Product Thinking

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Backend SystemsAPIsDistributed SystemsDesign ReviewsCode ReviewsBug FixesTechnical Decision-MakingFluency in Coding AgentsShipping Non-Trivial WorkOrchestrating Builds
Soft Skills
CoachingPerformance ManagementHandling FeedbackExpectation SettingComfort with Ambiguity
Tools & Technologies
ReactVue.jsTypeScriptExpress.jsNode.jsPythonPostgreSQLMongoDBAWSTerraform
Industry Keywords
AI-Native EngineeringCustomer OutcomesHigh-Performing TeamsOn-Call HealthPostmortems

Tech Stack

Tools & technologies
AWSDistributed SystemsJavaScriptKubernetesMongoDBNode.jsPostgresPythonReactTerraformTypeScriptVue.js

About the role

Key responsibilities & impact
  • Lead and develop a team of 4–8 AI-native engineers
  • Create clarity and support performance, coaching, and execution
  • Elevate product thinking and focus the team on customer outcomes
  • Set standards for AI-native engineering practices, including agentic workflows, context engineering, and evaluation discipline
  • Contribute meaningfully to the codebase through design reviews, code reviews, bug fixes, and small features
  • Own quality and reliability, including on-call health and postmortems
  • Handle feedback, alignment challenges, and expectation setting
  • Partner with Talent Acquisition on hiring plans and close strong engineers
  • Report to the Head of Engineering
  • Partner with customer-facing teams and company founders
  • Guide execution and deliver ambitious roadmap goals for the Enterprise platform

Requirements

What you’ll need
  • Hands-on, AI-native engineering manager experience
  • Track record managing high-performing engineering teams of comparable scope (4–8 engineers)
  • Fluency using coding agents daily to build context, decompose problems, orchestrate builds, review quality, and ship non-trivial work
  • Strong product thinking and judgement focused on customer outcomes
  • Technical depth in backend systems, APIs, and distributed systems
  • Meaningful hands-on contribution to the codebase, including shipping work, design reviews, and technical decision-making
  • Track record of personally closing strong engineering candidates
  • Comfort with ambiguity and a fast pace
  • Belief that smaller AI-native teams can outperform larger traditional teams
  • Ability to quickly learn new technology stacks
  • Experience with React, Vue.js, TypeScript, Express.js, Node.js, Python, PostgreSQL, MongoDB, AWS, Vercel, Terraform, Kubernetes, Claude Code, Cursor, or Codex is relevant; exact-stack experience is not required
  • Must be legally authorised to work in Australia
  • Must be able to work on-site at the Sydney office 3 days per week
  • Must be based in Sydney, Australia

Benefits

Comp & perks
  • Competitive salaries
  • Equity stake
  • Unparalleled professional growth
  • Career-defining opportunities
  • ESOP – Employee Stock Ownership Plan
  • AI Productivity Benefit – Up to $1200 USD/year for AI tools
  • 12 weeks of paid parental leave for all eligible new parents
  • Additional 6 weeks of paid leave for the birthing parent
  • Milestone merchandise/customised Relevance AI swag
  • Free breakfasts
  • Healthy snacks and fully stocked fridge of drinks
  • Team lunches provided every Tuesday, Thursday and Friday
  • Uber Eats dinners and regular catered office meals
  • Community events featuring thought leaders, industry partners, and the wider tech community
  • Quarterly team events
  • Social clubs
  • 24/7 mental health and wellbeing support through Sonder EAP