Special education teacher placement and tutoring services marketplace
Knowledge Road operates a marketplace connecting schools and parents with special education support services, spanning teacher placement and tutoring. The tech stack is heavily weighted toward marketing automation (Salesforce, HubSpot, Mailchimp, Klaviyo, Pardot) and digital advertising (Google Ads, Meta Ads, LinkedIn Recruiter), with minimal engineering signals — no backend frameworks, databases, or infrastructure tools. This reveals a services-and-marketing-first business model rather than a software platform; the company is actively managing conversion funnels and cost-per-acquisition across multiple channels while grappling with talent scarcity on the supply side (special education teachers, speech-language pathologists).
Knowledge Road is a 51–200-person marketplace founded in 2014 connecting schools and parents with special education teacher support services and tutoring. Headquartered in New York City, the company operates primarily in the United States, with the bulk of hiring concentrated in education and healthcare roles. Projects reflect both marketplace growth (recruiting strategies for hard-to-fill positions, onboarding automation) and revenue operations (email marketing automation, multi-channel paid campaigns, conversion funnel work). The organization is navigating a tight supply-side constraint: chronic shortages of qualified special education teachers and speech-language pathologists limit their ability to serve growing demand.
Knowledge Road connects schools and parents with Special Education Teacher Support Services (SETSS), including teacher placement and tutoring for students requiring specialized instruction.
Knowledge Road is headquartered in New York City, NY and operates primarily in the United States.
Knowledge Road uses Salesforce Marketing Cloud, HubSpot, Mailchimp, Klaviyo, Pardot, Google Ads, Meta Ads, and LinkedIn Recruiter to manage marketing campaigns, email automation, and talent sourcing.
Knowledge Road'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.