About the role
About TruckSmarter Trucking powers the American economy, moving 71% of the nation’s freight and representing nearly $900 billion in annual spend. Yet despite its scale, the industry still runs on fragmented systems, phone calls, emails, tribal knowledge, and manual coordination. TruckSmarter is changing that, starting with the people at the center of it all: truck drivers and small carriers. We’re a team of fewer than 25 building Dispatch, an AI-powered operating layer for freight. Think Claude Code for trucking. Dispatch helps carriers navigate a constantly changing freight market, reason through complex tradeoffs, and execute operational workflows on their behalf. The product is live, drivers are using it, and we’re now focused on making Dispatch dramatically smarter and more capable.
The Role We’re looking for senior software engineers to help us realize TruckSmarter’s vision of eliminating inefficiencies across the freight industry. You’ll be at the forefront of building text- and voice-based AI agents that can drive external communication, perform reasoning, execute actions, and continuously self-improve. As a senior engineer, you’ll play a critical role not only in building systems but also in shaping our technical and product strategy. You’ll mentor peers, influence architectural decisions, and help us define what best-in-class AI-driven logistics software looks like.
What You'll Do Partner closely with product, design, and leadership to define and evolve the architecture for agentic AI systems that scale across multiple product surfaces. Own the design and delivery of complex features end-to-end, balancing tradeoffs between velocity, scalability, and long-term maintainability. Lead technical discussions and architectural reviews, ensuring our systems remain robust, extensible, and secure. Guide the integration of GenAI agents with traditional ML systems (classification, recommendation, optimization) to create hybrid intelligent workflows. Establish engineering best practices around testing, observability, deployment, and performance monitoring for AI-driven features. Proactively identify product and infrastructure bottlenecks, propose innovative solutions, and drive them to completion. Mentor and coach other engineers, raising the technical bar of
