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Jobs(26,872)/Mobile Engineer Role(174)/breakmark (9) - Forward Deployed Engineer - MX
breakmark

breakmark - Forward Deployed Engineer - MX

Remote - LATAM3w ago
RemoteMidLATAMArtificial IntelligenceLogisticsMobile EngineerVP of OperationsDocumentationSAPOracleRESTPython

Requirements

• Background in supply chain, logistics, or operations — you'll understand what stockouts, fill rates, and OTIF mean without needing a glossary • Experience integrating with enterprise systems like SAP, Oracle, or similar ERPs and WMS platforms • Previous experience in a forward-deployed, solutions engineering, or customer-facing technical role

Responsibilities

• Build integrations between the platform and client systems — ERPs, WMS, TMS, data warehouses — writing real code to connect, extract, and transform data across environments • Deploy alongside clients in their environment — understand how their teams actually operate, where data breaks, and what needs to be built or configured to run reliably • Design, implement, and iterate on AI workflows using the company's platform — agentic flows, prompt engineering, context design, and output evaluation — tuned to each client's specific supply chain use cases • Own the reliability, performance, and continuous improvement of live deployments — monitor outputs, identify failure modes, and fix them without waiting to be asked • Translate what you build and learn in the field into structured product feedback, technical documentation, and reusable playbooks — so the next deployment starts smarter than the last • Profile We're Looking For • You build things: Min. 2-4 years of hands-on engineering experience — Python, REST APIs, SQL — and a portfolio of real integrations or systems you've shipped, not just designed • You operate in ambiguity: comfortable walking into a client environment without a complete spec, asking the right questions, and figuring out what needs to be built — without waiting for perfect requirements • You understand data end-to-end: how it flows across systems, where it breaks, and what it takes to make it clean and reliable enough for AI to use — SQL or equivalent is second nature • You have a working understanding of AI and LLMs: enough to design prompts, evaluate outputs critically, and know when a model result looks right but isn't • You communicate clearly across audiences: can explain a technical integration to a VP of Operations and write clean documentation for an engineer — in both Spanish and English • You own what you ship: high accountability, low ego — you track down the root cause, fix it, and make sure it doesn't happen again • Based in LATAM or the US, available to work across time zones and travel to client sites when needed

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