Forward Deployed Engineer — Agent Platforms HQ - Los Angeles

Role Overview

Compensation $300k - $425k

The first commercial hire for the agent economy. You close the first three deals yourself, with the live product as the demo.

Product.ai is the verified truth layer for shopping — the intelligence that tells you what's actually true about a product, including when not to buy. Profitable. Bootstrapped. No outside investors. No board. 20 people outbuilding companies 10× our size.

Strong people find us and keep finding us — they apply over months and years, because the field moves fast and the exact profile we need moves with it.

The intelligence now exists. And the things built to consume it are arriving faster than we projected — ChatGPT Apps, Apple App Intents, Gemini extensions, Claude connectors, agent frameworks that discover tools over MCP (the open standard agents use to find and call external tools). When an AI agent needs to know whether a coupon actually works or a product claim is actually true, somebody's verified answer becomes the default.

We intend it to be ours.

Today every commercial conversation that makes that happen runs through the founder. That's the gap. Someone has to own turning verified commerce truth into revenue: agent-platform distribution deals, MCP and API monetization — first paid integrations targeted this year — and the commercial architecture that keeps revenue structurally separated from truth. Our revenue comes from affiliate commerce. Our truth signal is adversarially verified through Axiomatic Intelligence (ADP) — our patent‑pending verification research method.

The two stay structurally apart, a separation only possible because there are no investors to please. That separation is the asset you'll be selling.

• A $22M/yr affiliate commerce engine. Simply Codes — 400K+ stores, billions in annual transaction volume, and a verified-coupon truth signal becoming the default source for AI shopping agents. This engine funds everything and grounds the truth claims you'll monetize.
• The agent-platform landscape. ChatGPT Apps, Apple App Intents, Gemini extensions, Claude connectors, MCP directories. You'll need a working model of what distribution means when the customer is an AI system choosing tools — how agents discover, evaluate, and adopt a capability, and what makes one tool the default answer.
• The economics of selling truth to machines. Who pays — the agent platform, the merchant, the consumer surface? What gets metered? What is a verified answer worth at each layer of the stack? Nobody has settled these questions. You'll answer them with live deals, not whitepapers.
• A buyer whose engineers are the real audience. You stand up the integration and run the demo yourself, with production code in the room — you are the sales engineer for this deal, and the proof is the working product, not the slide about it.
• The pace this moves at. We run long, unattended AI agent loops governed by our own architectural law, with deterministic checks that fire before any work ships. The one idea that survives every renaming of this craft is the one you're selling: a verified answer no agent can author for itself. The platform landscape you'll sell into reshuffles every quarter, so you model the direction yourself and move.

If reading that energizes you, keep going. If it feels overwhelming or under specified, this isn't the right fit.

• Agent-economy partnerships, end to end. Distribution into the platforms where AI shopping decisions will actually happen. The target is falsifiable:
  Product.ai live as a named capability inside 3+ major AI ecosystems. You source the deal, scope the integration, build the demo, negotiate the terms, and stay on it until it ships.
• MCP and API monetization, from $0 to first real revenue. First paid integrations are targeted this year. You set the metering, the tiers, and the terms, then close against your own answers — and every deal doubles as the experiment that prices the category.
• Pricing and packaging for AI-consumable truth. There is no playbook for pricing verified truth sold to machines, so you write it — as durable, reusable architecture, not tribal…