The roleThis is not a build-from-the-office job. You'll embed directly with enterprise fleet customers - sitting with maintenance directors, dispatchers, and shop managers - to understand their workflows, then ship working software the same week. You'll build integrations across telematics, TMS, and maintenance systems, design agent workflows on top of messy real-world fleet data, and own deployments end to end: from first discovery conversation to production running on thousands of trucks.
Must-have- Real logistics/trucking/supply chain experience - you've worked in or built for fleets, carriers, brokers, 3PLs, or fleet maintenance and understand how trucking operations actually run
- Expert, daily-driver fluency with AI-native development tools - Claude Code, Codex, and agentic coding workflows are how you build, not something you're "familiar with." You should be able to demonstrate this live
- Strong full-stack engineering with a bias for integrations: REST/webhook APIs, data pipelines, third-party systems (telematics, TMS, maintenance platforms)
- Extremely high energy and customer-facing confidence - comfortable presenting to a VP of Maintenance in the morning and shipping the fix that afternoon
- Extreme ownership - you run at ambiguity, don't wait for specs, and treat the customer's problem as yours
Nice-to-have- Prior forward-deployed experience (Palantir-style FDE / deployment strategist, or equivalent embedded customer engineering)
- GCP
- Palantir AIP / Foundry - ontology-driven data modeling and operational AI
- Voice AI: ElevenLabs and Twilio
Why this roleYou'll be the first deployment-side engineering hire at a company going from first enterprise contract to industry standard, working directly with the founders. Your work runs on real trucks moving real freight from week one.
