Senior Solutions Engineer - Commerce Intelligence Platform

• A verified knowledge API and MCP server that AI agents and applications consume. You'll need to understand the product's technical architecture well enough to build a demo integration in an afternoon.
• A dual-revenue model. SimplyCodes (affiliate eight-figure revenue) and Product.ai (API/enterprise early). You'll own the new revenue surface. The physics are different from SaaS - this is intelligence infrastructure priced by value not seats.
• An AI-native distribution landscape. Your "buyers" are often AI agents not humans. MCP integration means the product lives inside Claude GPT and other AI systems. You need to model how AI agents evaluate and adopt tools.
• A company where the CEO is technical and the product IS the demo. You don't need a sales engineer to help you. You ARE the sales engineer. And the demo is the live product.

• Technical partnerships and enterprise deals. From first conversation to signed contract. You own the full cycle - scoping demo-building integration architecture pricing close.
• Integration engineering. When a partner needs Product.ai intelligence inside their system you build the integration. Not "loop in engineering" - you write the code ship the POC and hand off a working implementation.
• Revenue architecture. Pricing models deal structures contract terms for the new API/enterprise surface. You'll help define what the commercial model looks like as it scales.

• How you think. You hold three things at once: the customer's technical problem the commercial opportunity and the product architecture. You can translate between engineering language and business language without losing precision in either direction.
• How you work. You close deals by building things. Your demo isn't a slide deck - it's a working integration you built that afternoon. You've personally written code that closed a deal. AI tools are part of your daily workflow.
• What you've probably done. Solutions engineering forward-deployed engineering technical sales engineering or founder-CTO work at a company where you personally built the thing that convinced the customer. You've closed deals where you wrote the integration code yourself. We care about the deals and the code not the company name.
• Who this isn't for. This role is wrong if "I'll loop in engineering" is your reflex when a technical question comes up. It's wrong if you're a pure sales personality looking for an AE role. It's wrong if you need a team under you to be productive. You'll thrive here if you like being the person who can talk to the CEO and then go build the thing.

• Total first-year comp: $300000 - $400000 (base + equity + profit sharing).
• Base: $190000 - $240000.
• Equity: PIUs - $0 strike Capital Gains actual ownership from day one.
• Profit sharing: Annual FCF participation.
• Liquidity: Annual tender offer.
• Benefits: 100% premium coverage. Unlimited PTO.

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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