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Product.ai

HQ
Los Angeles
25 Total Employees
25 Product + Tech Employees
Year Founded: 2009

Product.ai Offices

Product.ai is headquartered in Los Angeles.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible

U.S. Office Locations

HQ

Los Angeles

Our office is centrally located at the intersection of Santa Monica and Brentwood on a trendy section of Wilshire. Offering expansive views of the ocean to downtown LA, our high rise building sits right next to some of LA's most popular restaurants, cafes, juice bars and brunch spots.

Recently posted jobs

8 Hours AgoSaved
In-Office
Metropolitan, CA, USA
Artificial Intelligence • Big Data • Consumer Web • eCommerce
Own the monthly close and independent financial sign-off for a profitable $22 million company. Review machine-prepared books, resolve exceptions, reconcile bank and card statements, oversee revenue recognition, maintain the general-ledger mirror, and deliver clean tax handoffs. Build the 13-week cash forecast and operating budget, monitor spending and reserves, and write a concise monthly financial readout for the founder. This is a remote, 10–15-hour-per-week 1099 contract role with fixed close-week responsibilities.
11 Days AgoSaved
In-Office
Metropolitan, CA, USA
Artificial Intelligence • Big Data • Consumer Web • eCommerce
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.
11 Days AgoSaved
In-Office
Metropolitan, CA, USA
Artificial Intelligence • Big Data • Consumer Web • eCommerce
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.