The RoleMost engineers build for customers. FDEs build with them. You'll be embedded directly with high-value LSP accounts - owning integration architecture, customizing agent workflows, and serving as the ground truth between how LSPs actually operate and how our product team thinks they do. Your job is to transform logistics from a reactive service into a programmable network - replacing manual workflows with autonomous agent-to-agent coordination. What you learn in the field shapes the roadmap. You ship in weeks, not quarters.
What You'll Work On - Own end-to-end integration for dedicated LSP accounts - configure bi-directional webhooks and event-driven pipelines so AI agents can read, act, and write data into customer TMS, WMS, and ERP systems instantly
- Unify disparate customer data into a single actionable signal - driving dynamic interoperability across core business systems
- Customize interfaces and agent logic to fit existing LSP workflows across freight procurement, load tendering, and exception handling - reducing time-to-value and making adoption feel natural
- Feed the right context to agents and debug decisions when they go wrong - tracing failures back to the specific data point, prompt, or tool use that caused them
- Build event-driven pipelines (Kafka/PubSub) that carry agent intent at the scale of millions of logistics events per day
- Serve as the ground truth - we can't build a world-class product in a silo. Your field observations directly inform what gets on the roadmap and when
What We're Looking For Qualifications - 5+ years in software engineering, solutions engineering, or technical implementation in a customer-facing role
- Mastery of API-first design and bi-directional webhook configuration
- Experience with event-driven architecture and stream processing (Kafka, PubSub, or similar)
- Hands-on integration experience with TMS, WMS, or ERP systems
- Strong debugging skills across distributed, agent-driven workflows
- Deep domain knowledge in logistics - freight procurement, load tendering, carrier management, and exception handling. LSP customers don't trust engineers who don't understand their world. You need to speak their language to earn the right to change how they work.
Nice to Have - Experience with agentic AI systems - context feeding, prompt engineering, tool invocation, stateful agents
- Prior experience in a forward-deployed or field engineering role
- Containerization and orchestration (Docker, Kubernetes)
How You Work - You take ownership of outcomes, not just deliverables
- You bring back what you see in the field and use it to make the product better
- You move fast, iterate in the open, and don't wait for perfect conditions
- You can translate technical complexity to both engineers and LSP operators without losing either audience
Work Authorization: Candidates must be authorised to work in the US without current or future employer-sponsored visa support.
In-office Commitment: Our office is where ideas spark, connections thrive, and innovation comes alive. We are looking for candidates who are enthusiastic and committed to joining our team on-site, in our beautiful headquarters
3 days a week. Together, we're building something extraordinary-learn, grow, and thrive in our fast-paced, transformative environment.
We continually evaluate our pay ranges to reflect skills, experience, and market conditions. The base salary offered will be determined by assessing a candidate's experience and skills relative to the scope and responsibilities of the position, as well as the specific geographic location where the job will be performed. Base salary is one component of project44's total compensation package, which also includes stock options for all EOR and project44-employed team members, bonus or commission eligibility depending on role, and a benefits package tailored to your country of employment. Specific benefits package offerings vary by country and may include health, dental, and vision coverage, retirement plans, and paid time off, in line with local market standards and statutory programs. The base salary range for this position is USD130,000 - USD190,000
