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Forward Deployed Engineer - MX

Breakmark•Remote•🌍 Remote
Full-timeMid Level
👁️ 0 views•📝 0 applications•Posted 10/13/2026•Expires 11/12/2026
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Job Description

Forward Deployed Engineer - Mexico About the Company We're partnering with an AI-native operating system for supply chains used by wholesalers, manufacturers, retailers, and traders.

The platform integrates logistics and procurement data through connections with internal and external systems, enabling predictive analytics and automated workflows that improve fill rates, reduce inventory levels, and optimize cash-to-cash cycle time.

By leveraging predictive analytics and automation, the company helps large enterprises reduce costs, unlock additional revenue, and prevent under- or over-stocking across complex global supply chains.

Role Overview

The Forward Deployed Engineer (FDE) is the person who makes the platform work in the real world. This role sits at the intersection of engineering, client operations, and AI implementation — and owns the technical execution of how the platform gets built into each client's environment.

The FDE works directly with clients and the Implementation team, learns how each client's systems and operations actually run, and builds the integrations, automations, and AI solutions that make the platform mission-critical.

This is a first-of-its-kind role at the company — the person who takes it will be defining what forward deployment looks like here.

Key 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

Required Skills

Confidencial N

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