Backed by Techstars.
About the role
Manage state machines across projects, orders, jobs, and loads. Operate a telematics layer with billions of rows tracking thousands of trucks across North America — live position, route history, mileage attribution.
What they're looking for
- Strong Rails experience, or strong experience in a comparable backend framework and willingness to ramp fast
- You think in systems — interfaces, schemas, invariants, failure modes — and you've shipped designs that held up as the product scaled past their original assumptions
- You can model workflows where the source of truth is unreliable and the system still has to settle correctly
- High ownership
- Daily, opinionated use of AI coding tools
More about this role
Tread is an AI-native vertical SaaS platform transforming construction materials logistics—a massive, essential industry that moves the aggregate, asphalt, and concrete behind every road, bridge, and building. In March 2026, we crossed $1Bn in monthly delivered load value on the platform, and we’re at ~$XM ARR and growing fast. We are a lean Engineering organization with BE, FE, and Mobile all While AI generates code here, engineers own the architecture, invariants, tests, review, security, and production behavior of everything we ship.
Rails API (Ruby), Postgres, REST. React on the web, Flutter on mobile. AWS.
Manage state machines across projects, orders, jobs, and loads.
Operate a telematics layer with billions of rows tracking thousands of trucks across North America — live position, route history, mileage attribution.
Design geofencing and geo-driven event processing that turns raw GPS into structured dispatch events.
Build algorithmic dispatch and optimization, including automated load assignment.
Run the payments stack that settles ~$1B/month in hauler payouts.
Ship customer-facing agentic workflows on our MCP and LLM features.
Build integrations with telematics providers,...
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