Enterprise eCommerce platform for automotive parts dealers and manufacturers
RevolutionParts operates a B2B eCommerce platform serving automotive parts dealers and manufacturers across North America, processing over $625M in annual sales. The hiring velocity is accelerating with a marketing-heavy mix (7 roles) alongside data (4 roles), reflecting a company pivoting toward programmatic demand generation and analytics infrastructure — particularly around email automation, paid search optimization, and Looker dashboards. Active pain points around email delivery, lead data accuracy, and GTM repeatability suggest they're scaling customer acquisition while grappling with operational friction in their core marketing stack.
Notable leadership hires: Chief Financial Officer, Creative Director
RevolutionParts enables auto parts retailers and OEM dealers to sell inventory online through a multi-channel eCommerce platform. The company's solution abstracts catalog management, fulfillment, and distribution across dealership websites, standalone web stores, and third-party marketplaces including Amazon and eBay. Founded in 2013 and headquartered in Tempe, Arizona, the company serves a sales-assisted, enterprise buyer segment with dedicated onboarding and ongoing customer success support. The platform includes marketing services and analytics tooling to help sellers optimize inventory turnover and reach. With 51–200 employees, the organization is focused on scaling its go-to-market function while building out internal data and finance infrastructure.
RevolutionParts runs on AWS (EKS, RDS), PostgreSQL, MySQL, Node.js, and Elasticsearch for core infrastructure. Marketing and analytics layers include Salesforce, Marketo, Looker, Tableau, and Power BI. They integrate with eBay and major ad platforms (Google Ads, Bing Ads).
Current projects include eCommerce platform implementation, Google/Bing paid search campaigns, email automation and reporting, Looker dashboard development, lead data validation, and finance organization build-out to support scaling and IPO readiness.
RevolutionParts'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.