Engineering Manager, AI

Relevance AI
Sydney
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Product thinking","Judgement","People leadership","Coaching","Empathy"]

Lead a team of 4–8 AI-native engineers building and operating AI agents for Relevance AI’s Enterprise platform. You’ll coach engineering practices for agentic workflows, context engineering, and eval discipline, while elevating product thinking tied to customer outcomes. Hands-on contributions include design reviews, code reviews, bug fixes, and shipping small features, plus owning quality, reliability, and hiring through bar-raising execution.

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FursaFursa
Relevance AI
Relevance AI
2 days ago

Engineering Manager, AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Lead a team of 4–8 AI-native engineers building and operating AI agents for Relevance AI’s Enterprise platform. You’ll coach engineering practices for agentic workflows, context engineering, and eval discipline, while elevating product thinking tied to customer outcomes. Hands-on contributions include design reviews, code reviews, bug fixes, and shipping small features, plus owning quality, reliability, and hiring through bar-raising execution.
Location: Sydney
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Lead and develop a team of 4–8 AI-native engineers, supporting performance, coaching, and execution in a high-trust environment.
  • •Elevate product thinking so the team builds the right thing tied to customer outcomes, not just tickets.
  • •Set the standard for AI-native engineering practices, coaching engineers on agentic workflows, context engineering, and eval discipline.
  • •Demonstrate technical credibility by contributing to the codebase, joining design reviews, reviewing code, fixing bugs, and shipping small features.
  • •Own quality and reliability, including on-call health, postmortems, and closing the build-and-run loop.

Pay and Benefits

Perks:EquityParental LeaveHealth Insurance

Key Requirements

  • •Hands-on fluency with coding agents and using AI daily to decompose problems, orchestrate builds, review quality, and ship non-trivial work.
  • •Strong product thinking and judgement based on customer outcomes, including the ability to make tough prioritization decisions.
  • •Track record leading high-performing engineering teams (4–8 engineers) in problem-dense environments.
  • •Technical depth across backend, APIs, and distributed systems, staying meaningfully hands-on in the codebase and contributing to technical decisions.
  • •Experience hiring and closing strong engineers, partnering with Talent Acquisition to execute hiring plans.
Experience:AIAgentic automationEnterprise software
Skills:Product thinkingJudgementPeople leadershipCoachingEmpathy
Tech Stack:ReactVue.jsTypescriptExpress.jsNode.jsPythonPostgreSQLMongoDBAWSVercelTerraformKubernetesClaude CodeCursorCodexDistributed systemsAPIs

Company Brief

Relevance AI
Provides a no-code platform to build and manage AI agents and agent teams for automating reasoning tasks, enabling businesses to create workflow automation, semantic search, and vector-based AI applications.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Growth: Growth Stage Startup
Funding: Series B
Headquarters: Surry Hills, Australia
Founded: 2020
Glassdoor
Glassdoor: 4.4
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