Job Opportunities API

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 Reporting to the VP of Customer Operations, this role sits at the intersection of Customer Operations, Product, and Engineering. You'll work directly with customers to understand how they operate, then turn those insights into shipped software, AI-powered workflows, and product improvements. 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. This is a founder-in-training role. 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 own a book of mid-market accounts end to end, from first integration through long-term expansion and renewal, and you own the full technical relationship for every account in it, across these 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. Automating Your Own Work You do the job first, then automate it as you go. As you learn the work and see the same tasks repeat across your book, you build agents and internal tooling that take that work off your plate. This is a secondary function that compounds over time: the more of your own role you automate, the more of your time goes to the accounts and moments that need a person. Expansion & Retention Through Technical Depth Identify what makes Tread sticky and execute relentlessly to deliver that value. Expand revenue with existing customers by uncovering problems and solving them before they're asked. Help turn our data moat into self-reinforcing product loops that get smarter the longer a customer is on the platform. Own the technical