
501 - 1000 employees
Founded 2014
🚗 Transport
🏢 Enterprise
☁️ SaaS
Transport • Enterprise • SaaS
FourKites, Inc. is a leading global supply chain visibility platform, leveraging real-time data and advanced artificial intelligence to revolutionize how organizations manage their supply chains. With a powerful suite of applications providing insights on transportation, inventory, yard management, and more, FourKites offers comprehensive solutions to optimize efficiency, reduce costs, and improve customer service for over 1,500 major brands. Trusted by Fortune 500 companies, FourKites integrates seamlessly with enterprise systems, delivering unparalleled visibility across all modes of transport and industries such as food & beverage, pharmaceuticals, and manufacturing.
🕒 April 16
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501 - 1000 employees
Founded 2014
🚗 Transport
🏢 Enterprise
☁️ SaaS
Transport • Enterprise • SaaS
FourKites, Inc. is a leading global supply chain visibility platform, leveraging real-time data and advanced artificial intelligence to revolutionize how organizations manage their supply chains. With a powerful suite of applications providing insights on transportation, inventory, yard management, and more, FourKites offers comprehensive solutions to optimize efficiency, reduce costs, and improve customer service for over 1,500 major brands. Trusted by Fortune 500 companies, FourKites integrates seamlessly with enterprise systems, delivering unparalleled visibility across all modes of transport and industries such as food & beverage, pharmaceuticals, and manufacturing.
• Own complex integration and AI agent implementations end-to-end — from technical discovery through go-live and post-launch enhancement — as the primary technical contact for 2–4 enterprise accounts • Design integration architectures with explicit attention to error handling, retry logic, observability, failure recovery, and multi-system authentication • Design and deploy agentic AI workflows that orchestrate supply chain operations — from requirements through production, including regression testing and validation before each customer deployment • Deploy AI agent workflows live with customers present — configuring and troubleshooting in the room during customer calls, not gathering requirements to build later • Run customer discovery sessions independently — hear a business problem and propose a technically credible, innovative solution on the spot without IM or management support • Use Claude, OpenAI, and other LLMs across the entire workflow — capturing requirements, designing integrations, generating integration specs, writing code, testing and deployment; the expectation is LLM-assisted work at every stage, not just at the keyboard • Represent FourKites from a technical lens during presales engagements — articulate integration architecture, agentic workflow capabilities, and platform extensibility to prospective enterprise customers alongside the Solutions and Sales teams • Join scoping and strategic customer calls alongside the SCA team to tackle the highest-complexity technical and product questions — come in with a point of view, not just answers • Perform code reviews on integration and AI workflow work from FDEs and enforce quality standards before deployment • Mentor FDEs — pair on hard problems, review their work consistently, and take accountability for their growth • Identify reusable integration patterns and AI workflow templates and formalize them for the team library • Scope and estimate level of effort for projects accurately and hold yourself accountable to those estimates • Collaborate with Implementation Managers, Customer Success Managers, Solutions Consultants, Product Managers, and Engineering to deliver seamless customer outcomes
• 5–8 years of software engineering experience, with meaningful depth in integration engineering, system design, or a customer-facing technical role — what matters is the complexity and ownership of what you have built • Strong proficiency in Java (required) and one or more of: Python or Ruby - writes clean, production-grade code with test coverage, clear design rationale, and a standard other engineers can follow • Strong foundations in data structures and algorithms — designs systems that perform at scale, reasons about complexity tradeoffs under pressure, and makes the right architectural call for high-throughput, low-latency integration scenarios • Strong software design skills — architects integration and AI workflow systems that are modular, resilient, observable, and built to evolve; can articulate the design, defend the tradeoffs, and produce a diagram that makes it legible to others • Writes optimized code at speed — takes a customer problem from discovery to deployed solution faster than traditional development cycles; the ability to compress the build cycle without compromising quality is what enables customers to move faster • Innovative problem solver — brings genuine creativity to hard integration and AI workflow challenges; finds approaches that are technically sound, elegant, and often non-obvious; complexity doesn't slow you down, it sharpens your thinking • Deep expertise in enterprise integration patterns and how to apply them across complex, multi-system — knows when to apply which approach and can justify the tradeoffs • Hands-on experience designing and deploying agentic AI workflows end-to-end using LangGraph or equivalent — not configuring templates, architecting systems • Uses Claude, OpenAI, or equivalent LLMs across the full workflow — requirements documentation, integration design, spec generation, code generation, testing and deployment; treats LLMs as a core engineering capability, not a productivity shortcut • Proven ability to run technical discovery sessions with enterprise customers independently and translate ambiguous business requirements into concrete technical specs • Comfortable deploying agentic workflows live in a customer call — handles configuration, troubleshooting, and edge cases in the moment • Strong SQL proficiency — writes queries to investigate customer data issues and validate integration output.
• Medical benefits start on first day of employment • 36 PTO days( Sick, Casual and Earned) , 5 recharge days, 2 volunteer days • Home Office set ups and Technology reimbursement • Lifestyle & Family benefits • Mental Wellness support and guidance • Ongoing learning & development opportunities ( Professional development program, Toast Master club etc.)
Apply Now🕒 April 8
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