Immutable

Engineering Manager (AI Native)

Immutable • AU
GoTypeScript Hybrid
About Us 🚀

Immutable is the world’s fastest-growing game platform, built to power the next generation of games. We aim to drive the next evolution of gaming, combining performance, digital ownership and cutting-edge technology to help games grow and succeed. At the intersection of AI-driven analytics, high-performance growth tools, and seamless digital ownership, our technology helps studios attract, engage, and scale player communities across both Web2 and Web3.

Founded in 2018, Immutable is one of Australia’s fastest companies to reach unicorn status, raising more than AUD $400M+ with a valuation of AUD $3.5B. Today, more than 700 games are building on Immutable, and industry leaders like Ubisoft have chosen us as their partner for the future of gaming.

Over 6 million players use Immutable Passport, our unified identity enabling frictionless cross-game experiences, and our Immutable Audience platform has become the fastest-growing SaaS product line in our history. We're scaling rapidly, backed by a global team of creators, engineers, and gamers united by one mission: to build the most valuable growth layer in gaming and redefine how games launch, scale, and succeed. 🚀

About The Role 🤔:

As Engineering Manager for Immutable Play, you'll be a technical leader who thrives in a fast-paced, agentic environment where AI tools are the default, not the exception.

This is a high-impact, product-focused role leading streams responsible for play.immutable.com, the primary gateway for players to discover games. You'll lead cross-functional streams (Engineers, Product Manager, Data Scientist, Product Designer), with a mandate to drive player onboarding, engagement, and retention at scale.

Each stream is a focused feature line with 2–3 engineers, supported by PM, Design, and Data. You'll have full access to all AI tools like Claude, Cursor, and more, to drive technical direction and rapid prototyping. This role is hybrid in our Sydney HQ (3 days/week). We offer national and international relocation support and visa sponsorship.

You'll Be Empowered To 🎮

  • Lead and Ship: Own the end-to-end player journey. Guide your teams to experiment and ship high-impact features quickly.
  • Drive Delivery Excellence: Set and enforce best practices for delivery velocity and execution quality.
  • Build High-Performance Culture: Foster autonomy, accountability, and fast iteration across your squads.
  • Shape Technical Strategy: Define the platform's technical direction including smart matchmaking and player acquisition systems — in close partnership with Product, Design, and Data.
  • Grow Your Team: Coach engineers with consistent feedback, mentorship, and clear career development paths.
  • We'd Love You To Bring 🤝

    Leadership & Team Development

  • 2+ years leading high-performing engineering teams, with a genuine commitment to coaching and performance development
  • Experience leading zero-to-one product development in a founding or early-stage environment
  • Excellent communication skills and the ability to bring clarity to ambiguous, fast-moving situations
  • Technical Expertise

  • Strong full-stack engineering background with hands-on experience in system design, scaling, and delivery
  • Proficient in React, TypeScript, Go, and comfortable leading teams using this stack
  • Experience building consumer-facing products: player engagement, intelligent marketing, automated workflows, or scalable AI-powered features
  • AI-Native Engineering (must-have)

    This is not a box-tick. We're looking for an EM who has been actively embedding AI-first ways of working into their engineering practice, not just using AI tools personally, but changing how their team builds.

    What that looks like in practice:

  • Daily use of Claude, Cursor, and/or Copilot for coding, prototyping, architecture thinking, and technical review with clear, specific examples of impact

  • Team-level AI adoption: has introduced AI tooling standards, prompting practices, or LLM-assisted workflows into sprint cycles over the past 6–12 months

  • Hiring and evaluation: screens for AI aptitude in engineering candidates; has updated interview criteria or technical assessments to reflect AI-native expectations

  • Proactive LLM usage: can articulate concretely where AI has meaningfully improved velocity, quality, or product outcomes on their team, not surface-level

  • AI product thinking: understands how to design and ship AI-powered product features, not just use AI to write code

  • Product Mindset

  • Builder mentality with a track record of shipping high-quality, customer-centric consumer products
  • Ideally from a fast-paced startup or scale-up environment
  • Bonus Points For ✅

  • Genuine interest in gaming or experience within the gaming ecosystem
  • Familiarity with Web3 concepts, technologies, and applications