Forward Deployed Engineer

CommodityAI is building AI that automates workflows in one of the world's most operationally complex industries—commodities. These are the companies that move the resources our world runs on: the grains that feed us, the metals that build our cities, and the energy that powers everything in between.\
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Behind every trade and shipment, however, critical data lives in emails, PDFs, and legacy systems, slowing operations, increasing errors, and tying up teams in manual work. CommodityAI is a digital operator for the physical commodities world. It continuously interprets unstructured data, reconciles with the system of record, and flags issues in real time, giving teams greater clarity across every transaction.\
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We are redefining how commodity businesses execute by embedding intelligence into their daily workflows, helping them manage risk, streamline post-trade execution, and move the world's resources with greater control and accuracy. CommodityAI is building intelligence and automation at the foundation of global trade.

As a Forward Deployed Engineer at CommodityAI, you will own the technical delivery of customer deployments from the handoff from sales through stable production. You will work directly with commodity traders, operators, and C-suite stakeholders to understand how their operations run, define what needs to be automated, and guide adoption of CommodityAI.\
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You will lead implementations where accuracy matters and requirements are often incomplete. You will turn ambiguous customer problems into clear, reliable automations. You will tune AI agents, shape structured data for downstream systems, and embed with customer teams to understand their operations. You will stay in close communication with customers, keep work unblocked, and resolve gaps quickly.\
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This role blends engineering, product, and customer-facing problem solving. You will be among the first 10 employees and will operate with a high degree of ownership, navigate ambiguity confidently, and keep projects moving with clear communication and operational discipline.

• Own technical delivery across multiple deployments from first prototype to stable production
• Build and customize our AI agents and reasoning workflows to fit each customer's data and operational logic
• Translate customer requirements into clear, reliable automations in CommodityAI
• Embed yourself within customer teams, understand their needs, and guide adoption of what you build
• Lead customer calls throughout deployment, covering requirements clarification, progress updates, and user training
• Communicate technical details clearly with our users: traders, schedulers, operators, and logistics teams
• Manage data flows through CommodityAI's standard integrations with customer systems
• Keep customer projects moving with clear communication, steady follow-through, and attention to detail
• Make trade-offs between scope, speed, and quality; adjust plans to protect delivery
• Turn working patterns into reusable playbooks, templates, and configuration standards

• Bring 5+ years of engineering or technical deployment experience that includes customer-facing work
• Write and review production-grade code across frontend and backend using Python, Typescript, or comparable stacks
• Are energized by solving hard problems in operational industries underserved by modern software
• Have worked with enterprise customers and can manage the expectations, rigor, and structure required to support them
• Have built or deployed systems powered by LLMs or generative models and understand how model behavior affects product experience
• Simplify complexity and make fast, sound decisions under pressure
• Communicate and present clearly with engineers, product teams, and customer stakeholders
• Model calm and judgment when the stakes are high

This role is based in San Francisco. We work four days per week in the office. You may have to travel up to 30% for customer visits.