About Alloy Robotics
We believe robotics is the industry of our lifetime, and data is its lifeblood.
Alloy is the AI-native data platform for robotics teams. Robot fleets generate enormous volumes of logs, video, telemetry, and mission data, and most of it ends up in silos where nobody can use it. Alloy turns it into one queryable layer with AI agents on top: engineers ask questions in natural language, get automated mission reports, and catch failures before they compound. The point is simple. Your robot breaks, you find out why, and your best people spend their time building the next robot instead of digging through the last one.
We've raised $16m, backed by Square Peg, Blackbird, and Airtree, with angels including senior leaders from OpenAI, Anthropic, Tesla, Waymo, and Halter. We partner with robotics teams across defence, agriculture, maritime, humanoids, construction, and medical, including Advanced Navigation, DroneForge, Breaker Industries, and Puralink. We're a lean team building from Sydney, and are adding our first US hires.
Where we are, and where we're heading
Our product is where robotics engineers live when something goes wrong: Mesh holds their fleet data, Replay plays missions back in 3D, agents answer and report on top. The bones are strong and customers use it daily. The next year is about making it exceptional: faster, more intuitive, more coherent.
About the role
You'll own product surfaces end to end and raise the bar on frontend craft: the polish, the speed, the coherence. Small senior team, no layers; your work is in front of real robotics teams within days.
What you'll do
Own surfaces end to end: design, build, ship, iterate (Next.js/TypeScript, FastAPI/Python)
Set the frontend quality bar
Hunt down slow loads and fix the architecture behind them
Build data-dense UI: 3D playback, time-series, maps, dashboards, all of it great on mobile
Ship full-stack when the feature needs it: APIs, data model, jobs
You may be a good fit if you have
3+ years building production web products, frontend and backend
Exceptional React/TypeScript with strong CSS fundamentals
Design taste: good calls without a mock for every state
Performance instincts on data-heavy pages
A habit of shipping fast and owning outcomes
Strong candidates may also have
Data-dense or visualisation-heavy products behind you
Design-system experience
An interest in robotics (ROS/MCAP a plus)
AI-assisted development fluency
How we work
We're building the company we always wanted to join: small, fast, and serious about the craft. The bar is work you'll be proud of in five years, shipped this week. Everyone owns outcomes end to end: the interesting problems don't come with instructions, and nobody will hand you a playbook. We question requirements, delete what shouldn't exist, and spend our energy where customers feel it. If you want clear lanes and a manager to set your week, we'll frustrate you. If you want real problems, real pace, and the best work of your career, you'll fit right in.
Compensation
Competitive salary
Additional compensation and benefits may include equity and flexible working arrangements
If this reads like you but you don't tick every box, apply anyway. We care more about trajectory than checklists.
Skills Required
- 3+ years building production web products, frontend and backend
- Proven experience with React and TypeScript
- Strong CSS fundamentals and front-end craft
- Experience with Next.js and FastAPI/Python
- Performance optimization experience on data-heavy pages
- Design taste and ability to make UI decisions without full mocks
- Experience building data-dense or visualization-heavy products
- Design-system experience
- Interest in robotics (ROS/MCAP familiarity)
- Familiarity with AI-assisted development workflows
What We Do
Alloy provides a robotics data platform that unifies images, time-series telemetry and logs so engineers can search and analyze robot missions in plain English. The product creates instant mission reports, auto-clusters similar failures across fleets, and surfaces patterns for faster debugging and training data generation—accelerating development and reducing time spent hunting for relevant robot data.
