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Product.ai

Senior Software Engineer

Posted 6 Days Ago
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In-Office
Los Angeles, CA
250K-480K Annually
Senior level
In-Office
Los Angeles, CA
250K-480K Annually
Senior level
Own and operate a profitable revenue engine end-to-end: the publishing pipeline, promo-code verification, and conversion paths. Drive real-dollar outcomes (conversion, retention, revenue), model freshness/decay, integrate agent/AI access, and iterate in production with autonomy. Prove improvements with measurable financial impact.
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Own a profitable engine at a scale most builders never touch.

Product.ai is the verified truth layer for shopping - 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.

Why This Role ExistsThere's a profitable revenue engine inside this company - hundreds of thousands of stores, millions of users, real money every day - and it funds everything else we build. (It's SimplyCodes, the largest independent coupon-verification platform on the internet.) A few senior engineers and the founder keep it running, each stretched thin; it has far more upside than its owners have hours. So you'd be handed something rare: a profitable engine nobody has time to push as far as it can go - and the autonomy to push it. You own its technical surface, and you're measured in dollars.

What You Will OwnThe engine end to end - the publishing pipeline that stays fresh and ranks, the verification that decides whether a code is true, and the conversion paths where freshness turns into dollars. Real outcomes (conversion, retention, revenue), in real dollars, not engagement proxies. One seat, real autonomy: you decide what to build and prove it moved the number. Agents write most of the code; the scarce thing is judgment, and you own the verdict.

The System You'll Need to Model
  • Truth that decays in hours. Promotion data has a half-life of hours, not quarters - a working code builds trust, a dead one burns it.
  • Content AI can't displace - and still growing. Real-time, freshness-critical, branded-transactional queries are what models can't cache or fake; AI is a tailwind here, not a headwind.
  • Spend you make legible. Compute is large by design - the expensive thing is a redo cycle, not the tokens.
Where the Engine Is HeadingThe next distribution shift is agents choosing commerce tools instead of people. The push: make the engine callable by AI agents by default, and fold it into Product.ai's verified-truth platform - real but early, upside you'd own.

Who You AreYou reason in invariants, failure modes, and tradeoffs, tie each to the number it moves, and can read a system you've never seen well enough to sketch where it breaks the same day. You can do this job by hand and prove it - that's what lets you direct agents and trust the result. Point at a system you shipped where the outcome was real money, name the hardest failure you diagnosed, and say what you changed. That matters to us more than where you did it or what you studied.

Who this isn't for. If you draw architectures you won't operate, want a narrow lane, need a platform team beneath you, think in projects and timelines over systems steered in real time, or can't say why the code an agent handed you is right - this isn't your seat.

How We EvaluateNo traditional interviews: a written artifact (a system you built, the hardest failure you diagnosed, what you changed), a 15-minute async screen, calls with company stakeholders, a founder conversation, then a paid 4-day trial in our real environment. We learn more in 4 days than in 40 hours.

Compensation & Ownership$400,000 - $480,000 first-year (base $250,000 - $330,000), plus Profits Interest Units - Class B at $0 strike, real ownership day one, capital-gains treatment, annual profit sharing, annual tender liquidity, 100% family premium coverage, and uncapped AI tooling. When the company wins, you win - in real, liquid dollars, every year. Los Angeles, hybrid; remote-flexible for the right builder.

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