Solutions Engineer

Role overview Lead technical implementations of a software platform with customers, bridging pre-sales discovery and delivery. You’ll translate operational needs into data flows and integrations, write and configure solutions, and guide each engagement from pilot through launch and broader rollout.

Responsibilities - Map customer value chains, identify key tracking events and data elements, and design end-to-end data flows. - Build integrations with enterprise resource planning systems, warehouse tools, IoT devices, and legacy software using APIs. - Configure the platform for customer use cases, run pilots, train users, and troubleshoot production issues. - Guide customers from pilot to full deployment and help them operate independently. - Share customer needs, friction points, and feature gaps with the engineering team. - Write implementation guides, integration documentation, and use-case materials. - Support pre-sales with technical demonstrations and tailored proposals.

Requirements - At least five years of software engineering experience; customer-facing implementation or solutions work is preferred. - Strong Python and TypeScript or JavaScript skills. - Experience with REST APIs, relational databases, and cloud platforms such as GCP or AWS. - Background integrating enterprise systems, data pipelines, warehouse systems, or IoT devices. - Persistent, practical problem-solving skills grounded in customer workflows.

Nice to have Experience with supply chain or compliance software, or deployments in rural settings and areas with limited connectivity.

Benefits and work setup The role is fully remote across Latin America, with flexible hours and an asynchronous working style. Compensation is in USD, with a stated salary range available early in the process; equity may be available for strategic early roles. The package also includes a budget for customer visits and technical conferences, plus support for ongoing learning. The listed stack includes Python/FastAPI, TypeScript, GCP, LangGraph, Qdrant, and Solidity, with AI coding tools used regularly.