Senior Product Engineer
Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 10, 2026.
San Francisco · Hybrid · Full-time
$200,000-$250,000 USD annual base salary · 0.25%-0.5% equity
About CommodityAI
CommodityAI builds software and AI automation for physical commodity trading. We help teams turn information scattered across emails, documents and existing systems into reliable workflows for trade execution and operations. Our customers work with the energy, metals and agricultural products that move through the global economy.
We recently raised our Series A and are growing our engineering team. You will work closely with the founders and customers, own meaningful parts of the product, and see the results of your work in real operations.
The role
We are looking for a senior engineer who cares deeply about what customers are trying to do and can turn that understanding into working software. You will own features from the first conversation and prototype through launch, feedback and iteration. The work spans interface design, application logic and backend integration.
What you will do
Work with customers and the founders to understand commodity workflows and identify the most valuable problems to solve.
Prototype and ship interfaces that make complex operational work clear and manageable.
Build complete features across the frontend, APIs and data model.
Make AI-assisted workflows understandable, including review, correction and error recovery.
Observe how people use what you ship and improve it based on concrete feedback.
Balance speed, usability and maintainability, with attention to the details that make software dependable.
What we are looking for
Experience taking customer-facing features from an unclear problem to a production release.
Strong frontend or full-stack engineering skills and the ability to work through backend dependencies.
Good product judgment: you can explain who a feature helps, why it matters and what can be left out.
Care for interaction design, accessibility, performance and edge cases.
Comfort talking directly with users and changing direction when evidence calls for it.
Useful experience
Building complex B2B applications, operational tools or data-heavy interfaces.
Working on a small team with responsibility across product and engineering.
Shipping AI-powered user experiences that keep people informed and in control.
What success looks like
Customers can complete important tasks with less friction. You own a workflow end to end, understand how it is used, and keep improving it after launch.
Interview process
We start with either a 15-minute introductory conversation followed by a separate 1-hour technical screen, or a single 1-hour session with a 15-minute introduction and 45-minute technical exercise. Depending on what we still need to explore together, we may invite you to a second technical screen before an onsite.
We will explain the next step and what to prepare before each interview.