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Product.ai is the truth layer for commerce.
The Role
The Senior Solutions Engineer will manage technical partnerships, build integrations, and influence revenue architecture while engaging in direct sales conversations with enterprise clients.
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 Person
Product.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
What You Will Own
Who You Are
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.
Compensation & Ownership
Based in Santa Monica. Hybrid, with flexibility.
Apply 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 Person
Product.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.
What You Will Own
- 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.
Who You Are
- 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.
How We Evaluate
Compensation & Ownership
- Total first-year comp: $300,000 - $400,000 (base + equity + profit sharing).
- 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.
Apply 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 build and ship integrations independently
- Experience with AI tools and their implementations
- Strong understanding of technical architecture and commercial implications
Product.ai Compensation & Benefits Highlights
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Equity Value & Accessibility — Equity is offered to all team members with profit‑sharing and an annual liquidity mechanism that is framed as recurring, realizable value rather than paper options. Feedback suggests ownership grants and PIUs are positioned as core parts of total compensation.
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Fair & Transparent Compensation — Pay is positioned as top‑of‑market with published bands on the careers page and clear messaging about elite base salary. External listings reinforce this positioning across senior roles.
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Healthcare Strength — Core benefits include medical, dental, and vision insurance, with company materials indicating employer‑paid coverage for employees and families. This signals a richer healthcare package than is typical for early‑stage firms.
Product.ai Insights
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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.
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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.
