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Forward Deployed Engineer at CommodityAI

CommodityAI is building the operating system for the global commodities industry, and we're looking for a Forward Deployed Engineer to join our team in San Francisco. We are automating the manual workflows behind energy, metals, and agriculture that power the world. In this role, you'll sit at the intersection of AI and real-world logistics, turning messy unstructured data into repeatable software deployments. With a product selling faster than we can onboard, you'll have massive impact, direct mentorship from our founding team, and the chance to shape the future of global trade infrastructure.

About this role

Role overview

As a Forward Deployed Engineer at CommodityAI, you will bridge the gap between AI product and physical trade operations. You'll partner with customers to automate unstructured data flows, configure technical schemas, and drive successful deployments. This is a high-impact role for an engineer who thrives at the intersection of code and customer outcomes.

About the company

CommodityAI is a modern AI-powered commodity management and agentic operating system built for physical commodity traders, distributors, and operators. It provides an integrated trading and operations management system that eliminates friction in physical commodities trading by automating manual workflows, reducing data entry, and improving visibility into key processes such as shipment tracking, inventory management, and document processing.[1][3] The platform uses intelligent automation agents and collaborative tools tailored to commodity operations to handle thousands of shipments and millions of shipment-related documents, classifying and extracting relevant fields to create a unified, system-ready data layer.[2] CommodityAI brings together automated position management, shipment tracking, logistics, and commercial and finance workflows on a single operating system so that data flows seamlessly between applications, giving teams a shared source of truth, robust audit trails, and AI-powered insights to run trading operations more efficiently and at greater scale.[1][2][3][5][6]

What you'll do

What you will do

  • Configure data schemas and AI extraction workflows to turn messy real-world documents and emails into structured, actionable trade data.
  • Lead customer onboarding workstreams from initial scoping and technical configuration through to user acceptance testing and successful go-live.
  • Build internal tools, scripts, and automation templates that accelerate the deployment process and create leverage for the entire engineering function.

Who you are

Who this is a fit for

  • 1-3 years of experience in software engineering, implementation engineering, or a technical consulting role with strong coding skills in Python or TypeScript.
  • Proven technical proficiency with APIs, structured data models, and the ability to diagnose complex issues across AI-driven systems.
  • Exceptional communication skills and an operator mindset, comfortable managing multiple customer workstreams in a fast-paced, early-stage startup environment.

Why this role

Why this role is remarkable

  • Work at the epicenter of global trade, transforming the foundational sector responsible for moving the world’s energy, metals, and agricultural resources.
  • Join a high-growth environment where the product is selling faster than it can be onboarded, offering massive scale and impact.
  • Gain high-agency experience with direct mentorship from the founding team while building the company's deployment playbooks from the ground up.

Jack & Jill

How Jack & Jill work together

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Jill
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