AI Native Forward Deployed Engineer

About the role

About Tread

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.

Our AI-powered platform serves Haulers, Producers, and Contractors—optimizing truck routing, loaded-mile delivery, and project planning while delivering exceptional customer service through personalized AI agents.

We’re a Series A company backed by Mucker Capital, and we’re building the team that will take us from $XM to $XXM+ ARR.

Why This Role Exists

Tread's customers are construction companies, materials producers, and hauling fleets. Their operations are complex, messy, and high-stakes. Dispatchers are moving hundreds of trucks a day. Scale operators are weighing thousands of loads. Back-office teams are reconciling millions of dollars in freight.

We can't build the right product from a desk. This role exists to close the gap between our customers and our codebase. You'll be in the field learning how these operations actually work, then back at your machine shipping solutions the same day. The feedback loop is measured in hours, not sprints.

Today, technical implementation and field-driven product development is run by the founding team and a small engineering group. To scale from $XM to $XXM+ ARR, we need Forward Deployed Engineers who can live at the intersection of customer operations and our codebase—turning what they see in the field into shipped software before the next site visit.

What You Own

You are the technical bridge between our customers and our product. You'll own the end-to-end technical relationship for your accounts, from first integration through long-term expansion, across four core areas:

Customer Implementation & Technical Delivery Lead technical implementation for new customers: API integrations, data mapping, workflow configuration, and scale house connectivity. Build custom integrations, data pipelines, and automation for customers with complex requirements. Debug and resolve technical issues in the field, often on the same day they surface. Own the technical relationship with assigned accounts—you are their go-to when something is broken or needs to be built.

Product Development from the Field Turn customer pain points into shipped features. You have the context and the ability to build. Contribute directly to Tread's codebase (Rails API, GraphQL, React) based on what you learn in the field. Prototype and validate solutions with customers before they become full product investments. Feed structured, prioritized insights to Product and Engineering. Our model: 45 minutes with the customer, 45 minutes building.

Scaled Enablement & Documentation Build technical onboarding materials, API documentation, and integration guides for customers. Develop self-serve tools and content that reduce the need for hands-on support as we scale. Plan and facilitate QBRs with strategic accounts. Bring data. Bring insights. Bring the roadmap.