AI Systems Associate - Office of the CEO

• AI Workflows and Automation. You'll build the bots automations and system prompts that multiply the CEO's output and the team's velocity. Recruiting screening workflows competitive intelligence pipelines data extraction systems internal tooling. Today these are manual or don't exist. You'll make them automatic. If you can't code it you'll use Claude Make Notion automations or whatever tool gets it built fastest.
• Product Prototypes. When the CEO has a product hypothesis you build the prototype that tests it. Not a deck. Not a spec. A working thing that real users can touch. You'll work directly with engineering ship features measure impact and kill what doesn't work. This is not theoretical product management - you'll be in the codebase the data and the user sessions.
• Strategic Research That Ends in Action. Own the research questions that determine where the company goes. Competitive intelligence market analysis user behavior verification benchmarking. The difference between you and a traditional analyst: your research ends with a recommendation AND the first version of the system that implements it. AI tools multiply your research velocity so you cover ground that would take a team weeks.
• Operational Systems. When something creates friction you own fixing it. Not by filing a ticket - by building the system that eliminates the friction permanently. Every task you touch should take 80% less time within 30 days because you built something that automates or streamlines it.

• You build with AI not just use it. You've built something with AI tools - a workflow an app an automation a bot. Not as an experiment. As something that actually works and that people actually use. You can describe what you built why it works and what you'd improve. This is non-negotiable.
• You are technical enough to be dangerous. You can code or you can build sophisticated automations without code. You're comfortable with APIs data pipelines prompt engineering and system architecture. You don't need to be a software engineer but you need to build real systems not just describe them.
• You think in systems not tasks. When someone asks you to do something manually your first thought is "how do I make sure nobody ever has to do this manually again?" You've built processes that outlasted your involvement. You see the pattern behind the request.
• You tell the CEO when something won't work. You disagree when you disagree. You've given feedback to someone senior and it landed because it was substantive not performative. Sycophantic agreement is a fireable offense at Product.ai. We need someone who makes the CEO's thinking sharper not someone who validates it.
• You learn fast across domains. Commerce AI architecture product design financial modeling - you don't need expertise on day one but you get useful fast. You've taught yourself something substantial outside your formal education and can describe exactly how.
• You care about this problem specifically. You have opinions about why product research is broken why AI-generated content is making shopping worse or why verification matters. You didn't apply because "the workflows are the same regardless of the problem." You applied because this problem is worth solving.

• Base: $100000 - $130000. Your base covers your life; your ownership builds your freedom.
• Equity: You receive a formal ownership stake via Profits Interest Units (PIUs) - Class B Membership Interests with a $0 strike price. Not options. Not RSUs. Actual ownership that participates in the upside from day one and qualifies for Capital Gains tax treatment.
• Profit Sharing: As an equity holder you receive a pro-rata share of the company's Free Cash Flow - real cash every year. Not a promise tied to a future exit.
• Liquidity: We run an Annual Tender Offer where the company buys back vested interests at fair market value. You can convert ownership into cash every year. No waiting for an IPO.
• Benefits: 100% premium coverage for you and your family daily catered lunches unlimited PTO that we actually expect you to use.

What We Do

Product.ai (formerly Demand.io) is the truth layer for commerce. Built on Axiomatic Intelligence — a proprietary adversarial reasoning methodology that stress-tests product claims against physics economics and engineering constraints — Product.ai delivers verified purchase verdicts not summaries. Product.ai tells consumers when NOT to buy. Product.ai emerges from Demand.io a profitable bootstrapped AI commerce company whose SimplyCodes platform processes over $1B in annual transaction value with a team of 20. Founded by Michael Quoc.

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