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Threekit is seeking an AI Product Intern to join our Product and Sales Engineering teams in Chicago. This part-time role (~20 hrs/week) is paid hourly and designed to run alongside a class schedule.
You’ll support live AI features and prep or support customer demos, collaborating with Product, Sales Engineering, and GTM teams. No prior professional experience required; strong communication and curiosity about AI are valued.
Threekit is looking for an AI Product Intern to join our Product and Sales Engineering teams for a hands-on introduction to how a growing B2B SaaS company builds, sells, and scales an AI product with real customers on the line. Depending on placement, you’ll support live product development on our AI Sales Agent or help our Sales Engineering team with customer-facing demo work. Either way, this isn’t busywork; you’ll contribute to real initiatives that have a direct impact on customers or products.
This is a part-time role (~20 hrs/week) designed to run alongside a class schedule and is paid hourly.
The successful candidate must live within a reasonable commuting distance of our Chicago office and be willing to come into the office one half day per week.
Threekit is the Next-Generation Configure, Price, Quote Platform for Manufacturers. We help manufacturers make complex products easier to buy and sell through the systems they already trust.
At Threekit, our core values can be summed up with the acronym GRIT: Getting things done, Revenue, Innovation, and Team. These principles guide our actions and decisions, shaping the way we work and interact with each other and our customers.
At Threekit, GRIT is more than just an acronym; it is the driving force behind our success and growth.
This role will report to our VP of Product Management or Director of Sales Engineering, depending on placement.
We use AI-powered tools, such as Metaview, Fireflies.ai, and ChatGPT, to support certain administrative aspects of our recruitment process, including interview note-taking, transcription, and summarization. These tools are used to improve efficiency and consistency. A qualified recruiting professional reviews all AI-generated outputs, and all hiring decisions are made by humans. We do not use AI for selection, but we do use AI-powered search tools, including Metaview and Google, to help identify candidates.