Software Engineer - AI Commerce

• The Velocity Loop. You use AI to write code tests and documentation. LLMs are core infrastructure in your workflow not toys. You know what to automate (boilerplate test scaffolding documentation) and what to think about (architecture edge cases user behavior). AI-augmented development is how we maintain a 20-person team that outships companies with 200.
• Full-Stack Feature Delivery. You own features from React frontend through Node/Python backend to PostgreSQL schema. You design the data model build the API ship the interface and measure whether it worked. One engineer full loop.
• Product-Minded Engineering. You're solving user problems not executing specifications. You push back on requirements that don't make sense. You suggest alternatives that ship in two days instead of two weeks. When the data says users don't care about the feature you just built you kill it and move on.
• Autonomous Quality Ownership. You own quality end-to-end. You write tests you deploy with confidence you built the monitoring that tells you when something breaks. There is no QA team. There is no separate ops team. You build it you ship it you own it.
• Foundational contributions. Every engineer's code becomes infrastructure someone else builds on. You choose boring technology when boring technology works. You introduce complexity only when the problem demands it.

• You ship fast and you ship often. You'd rather have a good enough solution in production generating real user feedback than a perfect solution sitting in code review. Your instinct when faced with ambiguity is to build something small and learn not to schedule a meeting and discuss.
• You're a product builder not a coder. You care about user problems not clever code. When you look at a ticket you ask "what user behavior are we trying to change?" before you ask "what's the technical approach?" You've killed your own features when the data showed they weren't working.
• You use AI as a force multiplier. You write code with AI assistance daily. You're clear-eyed about what it's good for and where it fails. You are not ideological about AI. You are practical. You have measurably increased your shipping velocity using AI tools.
• You prefer building to process. You'd rather ship a feature than attend a planning meeting. You've worked in environments with heavy process and light process and you strongly prefer light. You can self-organize without a project manager.
• You take initiative and own outcomes. You see a problem you propose a solution you ship it. When something you built breaks you fix it - you don't file a ticket.

• Base: $280000 - $350000. Top of market. 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: You participate in the company's annual success. As an equity holder you receive a pro-rata share of Free Cash Flow (FCF) - real cash every year not a promise tied to a future exit.
• Liquidity: We operate an Annual Tender Offer where the company buys back vested interests at fair market value. You can turn ownership into cash every year. No waiting for an IPO. No hoping for an acquisition.
• Benefits: 100% premium coverage for you and your family daily catered lunches and 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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