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Be an Early Applicant
Product.ai is the truth layer for commerce.
The Role
The role requires owning technical partnerships, demo building, and integration engineering for enterprise deals. The candidate must combine technical and commercial skills to drive revenue.
Summary Generated by Built In
I'm Michael, founder and CEO of Product.ai. We've been building commerce infrastructure for 16 years. Profitable. Bootstrapped. 100% owner. No board.
We're hiring a Senior Solutions Engineer - our first GTM hire.
Why I Need This PersonProduct.ai's intelligence layer is live: verified product knowledge served to AI agents and consumer surfaces via API and MCP. Companies are starting to ask how to integrate it. Right now, when a potential partner or enterprise customer asks "how would we use this?" - I answer. I build the demo integration. I write the technical proposal. I close the deal.
That doesn't scale. I need someone who can hold the technical product, the commercial conversation, and the integration architecture in the same head - and close deals by building things, not by sending slide decks.
The System You'll Need to Model
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.
Who You AreHow 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.
How We Evaluate
Base: $190,000 - $240,000.
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.
Based in Santa Monica. Hybrid, with flexibility.
ApplyApply here: https://product.ai/join/senior-solutions-engineer
Include a technical proposal, an integration architecture, or a demo you built that helped close a deal.
#BI-Hybrid
We're hiring a Senior Solutions Engineer - our first GTM hire.
Why I Need This PersonProduct.ai's intelligence layer is live: verified product knowledge served to AI agents and consumer surfaces via API and MCP. Companies are starting to ask how to integrate it. Right now, when a potential partner or enterprise customer asks "how would we use this?" - I answer. I build the demo integration. I write the technical proposal. I close the deal.
That doesn't scale. I need someone who can hold the technical product, the commercial conversation, and the integration architecture in the same head - and close deals by building things, not by sending slide decks.
The System You'll Need to Model
- 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.
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.
Who You AreHow 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.
How We Evaluate
- Written artifact. A technical proposal, an integration architecture, or a deal narrative that shows how you think about the intersection of technology and commerce.
- Video screen. How you reason about technical products and customer problems.
- Conversation with me. Can you model Product.ai's value proposition in our first call? Can you propose an integration I haven't thought of?
- Paid work trial. 1-2 weeks. Build a real integration or POC using Product.ai's API/MCP. Close a real conversation with a real prospect. We pay your rate.
Base: $190,000 - $240,000.
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.
Based in Santa Monica. Hybrid, with flexibility.
ApplyApply here: https://product.ai/join/senior-solutions-engineer
Include a technical proposal, an integration architecture, or a demo you built that helped close a deal.
#BI-Hybrid
Skills Required
- Experience in solutions engineering or technical sales engineering
- Ability to write code for integrations and demos
- Experience with AI-native distribution models
Product.ai Compensation & Benefits Highlights
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Equity Value & Accessibility — Ownership is delivered via profits‑interest units with an annual December tender allowing sale of a portion of vested units, creating recurring liquidity. Feedback suggests this structure makes upside more realizable than typical private‑company options.
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Healthcare Strength — Medical, dental, and vision coverage are explicitly listed, signaling a solid core health package. Feedback suggests this forms a dependable baseline alongside other listed benefits.
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Wellbeing & Lifestyle Benefits — Free daily meals, commuter benefits, and onsite parking at the Los Angeles HQ, plus learning stipends and conferences, enhance day‑to‑day support. Feedback suggests these perks complement the core package for those working on‑site.
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The Company
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.
Gallery
Product.ai Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
Flexible
Los Angeles, CA
Our office is centrally located at the intersection of Santa Monica and Brentwood on a trendy section of Wilshire. Offering expansive views of the ocean to downtown LA, our high rise building sits right next to some of LA's most popular restaurants, cafes, juice bars and brunch spots.
