This Isn't For Everyone

Most people will read this page and feel a kind of friction. That's intentional.

We're not another company claiming to "work hard and move fast" for intensity's sake. We've built this culture deliberately, because we're trying to solve problems that haven't been solved before. That requires a specific operating environment: high autonomy, rapid adaptation, and a bias for deriving answers rather than retrieving them.

For the right person, this is energizing. The ambiguity feels like possibility. The pace feels like momentum. The lack of playbooks feels like freedom. For others, it feels like chaos. If that's your read, no hard feelings.

What We're Building

Product.ai is a profitable, founder-led AI commerce company driving $1B+ in annual GMV. We're the team behind SimplyCodes (the #1 AI-powered savings tool) and Product.ai (our shopping intelligence assistant that verifies claims instead of summarizing noise).

The internet is broken. You ask an AI for product advice and the response is fluent, confident, comprehensive - and says nothing. You search for a review and the top results are SEO-optimized listicles from content farms that never touched the product. LLMs made it worse - they trained on the noise and now reproduce it fluently.

We're building the antidote.

Product.ai is an intelligence layer for commerce - a system that adjudicates reality rather than averaging opinions. We litigate truth across four vectors - marketing claims, physics measurements, user consensus, and proprietary transactional signal - then serve verified answers with receipts.

Through SimplyCodes, we see what people actually buy, return, and complain about - millions of transactions that never hit the public web. When the marketing says "5-star product" and our data shows a 40% return rate, we know the truth. That proprietary signal is what makes our verification engine defensible.

We don't sell Search. We sell Closure.

When you ask "which camera should I buy," we don't give you ten blue links. We give you a verdict with receipts, tradeoffs, and the best verified price. Done. The endgame: we become the verification API for the agent economy. As AI agents proliferate, they need sources of verified truth they can trust. We intend to be the API they call.

The Operating Reality

Reasoning Quality Over Everything

We don't make decisions by consensus, seniority, or loudest voice. We make decisions by reasoning quality. If you're an intern with the clearest analysis, your argument wins. If you're a VP with holes in your reasoning, you lose the argument.

Every decision traces back to: What do we actually know? What are we assuming? What's the causal chain between this action and the outcome we want? If you can't articulate that chain, you don't have a decision - you have a guess dressed up as conviction.

Process is a tool, not a religion. We treat it as temporary scaffolding - useful when it compresses decision-making, discarded when it doesn't. If you find yourself saying "but the process says..." you've already lost the plot. The question is always: what does reality say?

What "High Agency" Actually Means

When you hit a wall, your first instinct is to find a way around, over, or through - not to report that there's a wall. When something goes wrong in your domain, you trace the failure back to your decisions, not circumstances.

Here's a test: When you describe your past work, do you say "I built X" or "I was responsible for X"? The first is a statement about action. The second is a statement about org chart position. We care about the first.

The Tradeoffs We've Chosen

Every culture is a set of bets. Here are ours:

We've traded stability for speed. Things change fast here. The strategy you're executing might pivot based on new information. If you need to know what you'll be doing in six months, you'll be perpetually anxious.

We've traded certainty for autonomy. No one will give you a detailed spec and check your work. You own outcomes, not tasks. This means you can move fast and make real decisions. It also means you can fail in ways that matter.

We've traded comfort for growth. Your ideas will be stress-tested, sometimes aggressively. We're not trying to win arguments - we're trying to find truth. The friction is collaborative, not adversarial.

We've traded process for judgment. There's no policy manual to consult. You'll face ambiguous situations and have to make calls.

These aren't right for everyone. They're right for us - and for a specific kind of person.

The Wealth Architecture

We don't want employees. We want partners. Our compensation structure reflects this.

The Philosophy: Salary solves for your life. Equity solves for your freedom. We don't mix them.

Most companies give you a salary plus a variable cash bonus. That bonus gets taxed at ~40%, you spend it, and you're back where you started. It's a hamster wheel disguised as upside.

We eliminated the bonus entirely. Instead:

  • Salary at 75th percentile. Your mortgage, your lifestyle, your stability - covered.
  • Profits Interest Units (PIUs) instead of bonus. Equity in Product.ai with a $0 strike price. When the value grows, you pay capital gains (~20%), not income tax (~40%). That's a 33% efficiency gain on the same dollar.
  • Annual liquidity - not "wait for IPO." Every December, we run a Tender: you can sell up to 20% of your vested units back to the company. This isn't paper money. It's real wealth you can access every year.

The Math: A $100K bonus after tax is ~$60K. $100K in equity gains after tax is ~$80K. Same company cost, 33% more in your pocket. Compounded over years, this is the difference between a vacation and a house.

The Filter: If you'd rather have the cash bonus, you want to be an employee. This offer is for partners.

What Success Looks Like Here

You'll thrive here if:

You build systems, not just solutions. When faced with a problem, you don't just solve it - you ask "how would I solve this class of problems?" You build the factory, not just the widget.

You hold strong opinions loosely. You form clear views based on available evidence. When new evidence contradicts your view, you update immediately without ego damage. Being wrong is data; defending a wrong position is failure.

You default to action over certainty. Given ambiguity, you move. You'd rather make a reversible mistake than wait for perfect information that never comes.

You want teammates, not just colleagues. We dig each other out when things get hard. The intensity bonds people in ways that low-stakes environments can't.

The Invitation

We're building the infrastructure of certainty for the age of noise. These problems don't have textbooks. We don't have all the answers. We have a framework and early results - and we need people who can push it forward.

If you apply, be ready to talk about this document - what resonated, what you'd push back on, and why. We don't hire people who pattern-match to familiar archetypes. We hire people who engage with specifics.

We'll know if you skimmed.

If you want to build it with us, see what's open.