Software Engineer, Backend Developer, AI Engineer (Applied​/Software)

DAT Freight & Analytics is an award-winning employer of choice and a next-generation SaaS technology company that has been at the leading edge of freight and logistics innovation for nearly five decades. Founded in 1978, DAT operates the largest freight marketplace in North America — processing 250 million+ load posts annually and maintaining one of the largest repositories of freight market transaction data in the world.

On a defined path to $1 billion in revenue, DAT deploys a suite of software solutions, machine learning models, and intelligent automation tools that help brokers, carriers, and shippers price freight accurately, source capacity, reduce risk, and operate more efficiently. With nearly 700 teammates across offices in Denver, CO;
Portland, OR;
Seattle, WA;
Springfield, MO;
Toronto, ON; and Bangalore, India, DAT combines the credibility of a multi-decade market leader with the drive of a company that is not done disrupting the industry it helped build. For more information, visit

Job Final date to receive applications: 10/31/2026

DAT Solutions is looking for a Staff Software Engineer to be the first engineer in a new function within our Integrations organization: platform and developer experience for third-party integrators.

Our integrations teams connect DAT to the systems brokers, shippers, and carriers run their businesses on, from TMS platforms to partner APIs. Today, no one owns the experience of building on DAT from the outside: the SDKs, documentation, observability, and tooling integrators depend on. You will. You will report to the Engineering Manager of Integrations, work alongside our inbound and outbound integration teams, and partner closely with Product, Customer Support, and Engineering across the organization.

The function starts small, and its size and shape will grow with the impact you demonstrate.

You are a Staff Engineer who builds. Hand you a problem no one at DAT has solved yet and you stand up a proof of concept in days, put it in front of real users, and let what you learn decide what happens next. You are pragmatic: you would rather deliver customer value in weeks than polish something no one asked for.

You are comfortable with ambiguity and limited direction, and you do your best work partnering across teams to turn a promising idea into something that ships. You understand your customers, including the brokers and integrators who increasingly build with AI coding assistants, and you design for how they actually work.

• Working proofs of concept delivered early, with the ones that prove out taken to production
• Third-party integrators, including those building with AI coding assistants, can build, test, and troubleshoot against DAT APIs without engineering hand-holding
• Documentation, API specifications, and examples that consistently produce good results when integrators use AI tools
• One or more SDKs that reduce the effort for partners to integrate with DAT
• Production-grade API logging and monitoring that gives Product, Engineering, and Customer Support a shared, trustworthy view of integration health
• Light, practical guidelines applied to our customer-facing APIs, starting with new integration surfaces such as shipment ingest
• Effective knowledge-sharing and mentorship across engineering teams

• Build proofs of concept for developer experience and platform capabilities that have not been solved at DAT before, and take the ones that prove out to production
• Execute against our established architectures, refining them where they need it, and partner across Integrations, Product, Support, and Engineering to drive impact
  
  Design, build, and maintain SDKs and developer tooling in Type Script, treating integrators as customers
• Build documentation, OpenAPI specifications, and examples that work well when integrators use AI coding assistants, and learn how our customers actually use AI so you can make them successful
• Design and build API logging and monitoring that gives teams visibility into how integrations behave in production
• Help shape lightweight governance for our customer-facing APIs (consistency, versioning, authentication, error handling, and deprecation), applied through an abstraction layer between our internal services and integrators
• Anticipate and communicate roadblocks before they require escalation, and align stakeholders across teams on shared direction
• Reduce toil and improve the reliability, cost, and…