Owner targets independent restaurants with an all-in-one software platform designed to counter big-tech marketplace dominance. The stack reveals a sales + support infrastructure (Salesforce, Intercom, Talkdesk, Sales Loft, Gong) paired with modern full-stack tooling (React, Next.js, Node.js, MongoDB), now adopting payment processors (Adyen, Stripe Connect) and Retool while replacing Stripe and QuickBooks Online — signaling a shift toward embedded commerce and custom business logic. Hiring is accelerating across engineering and support, with active projects spanning AI scoring, SEO automation, and data-driven retention, matching their stated mission to simplify restaurant growth.
Notable leadership hires: Creative Director
Owner builds software for independent restaurants to manage their online presence, customer relationships, and revenue streams. Founded in 2020 and based in San Francisco, the company operates across 201–500 employees and serves the mid-market restaurant vertical. The platform consolidates reservation management, marketing automation, customer data, and billing — historically fragmented across multiple point solutions. Recent project work emphasizes AI-driven customer scoring, multi-channel marketing automation, and data products for retention optimization, positioning Owner as a retention-focused solution against restaurant churn driven by delivery platforms and aggregator sites.
Owner runs on React and Next.js (frontend), Node.js and MongoDB (backend), with TypeScript across the stack. Data infrastructure includes Snowflake, dbt, Looker, and Tableau. Operations and payments leverage Salesforce, AWS, and are adopting Adyen and Stripe Connect.
Active projects include AI-powered customer scoring, multi-channel marketing automation, SEO/AEO system improvements, data retention tools, billing process automation, and scaling the customer success organization. Work suggests a focus on retention, automation, and embedded payments.
Owner.com's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.