Forward Deployed Engineer
Forward Deployed Engineer at CommodityAI — San Francisco, CA, US
- Company: CommodityAI
- Location: San Francisco, CA, US
- Employment type: FULL_TIME
- Salary: USD 150–200000 / year
- Posted: 2026-07-17
About this role
About CommodityAI
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.
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.
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.
About the Role
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.
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.
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.
In this role you will
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
You might thrive in this role if you
Bring 3+ 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.