Teams at Product.ai

Own product surfaces end to end, translating founder-framed strategy into specifications, design direction, agent-built implementation, and measurable growth experiments. Lead an incentive-driven consumer verification product, protect contribution quality against gaming, and run pre-registered ship-or-kill tests. Work directly with the founder, designer, and engineers in an AI-native environment focused on verified commerce truth, agent-powered development, and high-traffic consumer surfaces.

Own the end-to-end verification system that determines whether shopping claims are true. Design and operate judge pipelines, calibration and abstention mechanisms, arbitration rulebooks, golden sets, regression corpora, and adversarial evaluations. Scale machine verdicts across millions of claims while maintaining a high accuracy floor against human-graded exams. Establish eval-driven shipping gates, control contamination, and define the seat’s success metric and decision authority with the founder. Work hands-on with models, agents, and verification infrastructure.

Own the end-to-end pipeline for producing four to six data studies monthly from proprietary checkout, code-testing, and shopper behavior data. Responsibilities include querying BigQuery with SQL, validating statistical methods and denominators, identifying publishable findings, conducting interviews and panels, writing studies and pitch briefs, maintaining canonical statistics, and verifying AI-generated research. The role combines computational journalism, primary reporting, editorial judgment, and data-quality oversight to produce work cited by journalists and AI answer engines.