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About the Role

This is a high-impact, high-ownership role where you'll lead a team of engineers working on some of the hardest problems in AI—helping shape how AI agents are built, orchestrated, and operated in production on our platform. You'll partner closely with our Head of Engineering, Founders and cross-functional leaders, while staying close enough to the technical work to guide execution, raise the bar, and unblock your team. Your mission is to build a high-performing engineering team, drive strong technical outcomes, and help deliver ambitious roadmap goals in a fast-moving environment.

Responsibilities

Lead and develop a high-performing team of 6 to 8 engineers, supporting performance, coaching, and day-to-day execution in a high-trust environment.
Shape a culture of truth-seeking, ownership, and continuous improvement across your team.
Contribute meaningful hands-on technical leadership through design reviews, technical planning, code review, bug fixing, and selected feature development.
Help your team solve ambiguous, high-leverage technical problems in AI systems and product infrastructure.
Create clarity in fast-moving situations by driving strong execution, thoughtful trade-offs, and high engineering standards.
Handle tough conversations with empathy and conviction, including feedback, alignment challenges, and expectation setting.
Hire bar-raising candidates by partnering closely with Talent Acquisition to execute hiring plans and close strong engineers.
Partner with Product, Design, and GTM as an equal.
Bring options, not problems, to the executive team.

Requirements

3+ years of experience as an Engineering Manager, with a track record of leading engineering teams of comparable scope in problem-dense environments.
Strong technical credibility with the ability to stay meaningfully hands-on and guide architecture, implementation quality, and execution.
Demonstrated ability to work closely with product or company leadership on roadmap direction, prioritisation, and delivery.
High AI fluency in your day-to-day workflow; you actively use AI agents to plan, build, and review technical work.
Strong judgment in ambiguous environments, including the ability to push back when needed and make pragmatic decisions.
Prior exposure to AI/ML domains or experience working on SaaS platforms, infrastructure, or product engineering problems is highly valued.

Skills

AI fluency
Technical leadership
Team development
Performance coaching
Design reviews
Technical planning
Code review
Bug fixing
Feature development
Problem-solving
Roadmap direction
Prioritisation
Delivery management
Judgment in ambiguous environments
SaaS platforms
Infrastructure
Product engineering

Location

Sydney, Australia

Work Type

Hybrid

Experience Level

3+ years of experience as an Engineering Manager

Benefits

ESOP – Employee Stock Ownership Plan
AI Productivity Benefit – Up to $1200 USD/year for AI tools, courses, and learning resources
Parental Leave – 12 weeks paid for all eligible new parents, plus an additional 6 weeks for the birthing parent
Milestone Merch – Customised Relevance AI swag for work anniversaries
Food, Drinks & Community – Free breakfasts, healthy snacks, stocked fridge, team lunches, Uber Eats dinners, and regular catered office meals
Quarterly Team Events – Team bonding experiences
Social Clubs – Opportunities to join or start clubs based on hobbies and interests
Sonder EAP – 24/7 mental health and wellbeing support

About the Company

Relevance AI is building the home of the AI workforce, empowering teams to delegate meaningful work to AI agents that think, act, and collaborate like experts.
Their technology powers industry leaders such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard.
The company is backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and raised their Series B in April 2025.
Headquartered in San Francisco and Sydney, they operate on a hybrid model and thrive on curiosity, collaboration, and execution.
In 2025, they were named LinkedIn’s #1 Startup in Australia.
They are guided by five values: truth-seeking, being empathetic, putting the customer first, iterate extremely fast, and building memories.
They have set high standards in their high-trust, low-ego environment, hiring exceptional people to do the best work of their lives.
As an early team member, you’ll play a key role in shaping their future, including culture, ways of working, and benefits.