Founding Full-Stack Engineer

Superstat; Melbourne; Hybrid; AUD 130,000 - 145,000; Full time

Benefits offered by this job

Equity

Superannuation

Job summary

Superstat is hiring a full‑stack engineer to turn game footage into coach-friendly stats and clips. You’ll work across mobile/web, backend and AI agents, shipping features from idea to release with direct input from founders.

The role is based in Melbourne, with ownership of web, mobile, backend and AI features, and equity alongside a base salary. Join a fast-growing sports tech startup using computer vision to power high school and community sports analytics, with a base salary plus

Qualifications

• 3+ years of full-stack engineering experience.
• Experience owning production features across frontend, backend, DB and deployment.
• Hands-on with AWS and deploying/monitoring services.

Responsibilities

• Build mobile and web features for uploading games, reviewing footage and stats, and creating highlights.
• Design APIs, relational data models and background jobs for those experiences.
• Develop AI agents that call tools and handle multi-step workflows.
• Ensure video uploads, processing and playback work reliably across devices and networks.
• Deploy, monitor and troubleshoot applications and services on AWS.

Skills

Full-stack engineering

Job description

A$130,000-145,000 base salary + superannuation + equity

About Superstat

Superstat is one of the fastest growing sports tech startups in the world. We turn sports game film into pro-level sports stats using computer vision. Think ESPN level data but for high school, rep or even Monday night social sport with your friends!

Since launching at the start of this year, we have:

Raised $3.5M in a round led by Blackbird VC.

Grown to 5,000+ teams using Superstat.

Launched the world’s fastest sports computer vision model.

We’re looking for a full-stack engineer who can turn that technology into a product coaches and players love using. Someone who can take an idea from a conversation with a customer through to a feature they use after their next game.

You’ll build across our web and mobile apps, backend services and AI agents. Your work will help teams upload their games, understand what happened and find the moments that matter.

The role

You’ll own features across the full stack, working directly with the founders and engineering team to decide what to build and bring it to life:

Mobile and web: make it easy for teams to upload footage, review stats and create and share highlights.

Backend and AI: build the APIs, data models, background jobs and agents that turn game footage into something a coach or player can use.

One week you might make a full-game upload survive dodgy stadium Wi-Fi. The next, you might build an AI agent that finds the right clips and gets them onto a coach’s phone.

This is a hands‑on role. You’ll own your work from the first idea through the interface, API, database and deployment, then keep improving it once people start using it.

What you’ll do

Build mobile and web features for uploading games, reviewing footage and stats, and creating and sharing highlights.

Design the APIs, relational data models and background jobs behind those experiences.

Build AI agents that call tools, work with game data and complete tasks across multiple steps. Evaluate their behaviour and make failures easy to diagnose.

Make video uploads, processing and playback reliable across devices and network conditions.

Deploy, monitor and troubleshoot applications and services on AWS.

Talk to users (coaches, parents and athletes) to understand where they get stuck and then ship improvements based on what you learn.

What we’re looking for

You have 3+ years of full‑stack engineering experience and have owned production features across the frontend, backend, database and deployment. You’re comfortable making technical decisions and following your work through to release.

You’ve deployed, monitored and troubleshot applications or services on AWS. You also have hands‑on experience building agentic systems, including tool calling, multi‑step workflows, evaluation and failure handling.

You regularly use AI coding tools such as Cursor, Codex or Claude Code in real codebases. You can show how you use them to build, debug and refactor, and how you verify the code you ship.

A strong eye for design, an interest in sports or experience with video uploads, encoding, streaming, playback or clip editing would be a bonus. So would native iOS or Android experience with Swift or Kotlin, native modules or platform APIs, or work integrating cameras, capture devices and other connected hardware.

Show us the ability in your work. We’d like to understand what you built, the decisions you made and what happened when people started using it.

How we’ll work

This role will be Melbourne based but you’ll work closely with the founders and engineering team, with room to make technical decisions and take an idea all the way to release.

A project might start with a coach asking, “Can I pull up the plays behind this stat?” You’d work out how to find the right moments, build the API and interface, ship it and see whether it makes game review easier.

You’ll also help shape how Superstat works across our new sports and how our software connects with the cameras we’re building.

Success looks like teams going from recording a game to useful stats and clips with less effort, fewer failed uploads and features that coaches and players keep coming back to.

The opportunity

A$130,000-145,000 base salary + superannuation.

Equity ownership in a venture‑backed company already used by 5,000+ teams.

Direct involvement in product and technical decisions alongside the founders and engineering team.

Ownership of features across web, mobile, backend and AI, with the chance to shape how Superstat grows across sports.

This is a full‑time role based in Melbourne, Australia.