×
Register Here to Apply for Jobs or Post Jobs. X

Software Engineer, Verification Fleet

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Product.ai
Full Time position
Listed on 2026-09-04
Job specializations:
  • Software Development
    Software Engineer, Backend Developer
Salary/Wage Range or Industry Benchmark: 380000 - 475000 USD Yearly USD 380000.00 475000.00 YEAR
Job Description & How to Apply Below

Product.ai is the verified truth layer for shopping. When a person or an AI agent needs to know what is actually true about a purchase, we answer with proof. Simply Codes is our first proof at scale, the code verification service that shows shoppers the codes that actually work instead of a wall of dead ones. It earns about $22 million a year at roughly 60% margins.

We are 100% founder-owned, profitable, and bootstrapped since 2009. No outside investors, no board. Fewer than twenty operators, outbuilding companies 10x our size.

Why This Role Exists

When Simply Codes tells a shopper a code works, a machine should have proved it. A checkout robot went to the store, added an item, applied the code, and watched what happened at the cart. You own that fleet.

Human spot-checking cannot reach the long tail, so the fleet is now the primary producer of the verified checkout evidence this company sells. Today the robots reach only a fraction of the stores beyond the big standardized platforms. Your job is to multiply that reach across hundreds of thousands of stores. Every store you add turns a guess into a verified claim.

That $22 million is the engine that funds everything here, and those claims keep the merchant pages behind it worth ranking and trusting. The same proof is now a paid product for machines. Anonymous API access closed August 15; legacy free codes retire September 30.

One boundary. This seat proves the code works, with robots at real carts. A sibling posting owns the commerce-data supply chain, meaning what enters the system and how fresh it stays.

Agents write most of the code here, so the scarce thing is judgment, the design taste that keeps a fleet correct and cheap while it multiplies. You decide what to build and how you will prove it holds, with a high technical bar underneath.

The System You’ll Need to Model
  • Fleet economics. Every large crawler answers to the same unit-economics law. A check that costs more to run than the commission it protects is a loss. You are always trading how often you re-test against what the test is worth. The fleet has to earn its own keep, store by store.
  • The coverage-accuracy frontier. Pushing coverage outward means automating messier, stranger stores, where a robot is likelier to misread the cart. Reach and certainty pull against each other, the same precision-recall tension every verification system faces. Keeping both as you scale is the job.
  • Evasion versus detection. Stores and their anti-bot vendors do not want to be automated. Fingerprint surface, rate limits, and challenge walls move constantly, and headless detection improves every quarter. You navigate that contest at scale without breaking the store or the law.
  • Verdicts need tests; tests need verdicts. You build beside the verification-science seat we are hiring now, which owns the machine verdicts that decide what we claim is true. Those verdicts are only as good as the checkout evidence your fleet produces, and your fleet only knows where to test because that scoring shows where the truth is thin. Two seats, one loop.
  • Cortex, the brain you build inside. You work inside Cortex, the shared AI brain that runs the company and the product family we sell; it answers its own questions from more than 8,600 documents. The company moves at that brain's speed; no spec stays current for a quarter. You build inside the thing we sell rather than using AI on the side.

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

What You Will Own
  • Fleet economics
    . Cost per verified checkout, held below the commission each check protects. You run the fleet's spend the way a strong platform team runs infrastructure, as a business number you can defend rather than a bill you discover.
  • The instrumentation that proves it
    . Fleet observability and evidence capture. Dashboards and ledgers show, for any claim, when it was last tested, whether the robot made it to the cart, and what the check cost. Correctness you can watch instead of assert.
  • The number, co-signed
    . Within your first quarter you co-sign a seat charter. It names one machine-checkable number that proves the seat…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary