Aviation parts marketplace and supply-chain network for buyers and sellers
PartsBase operates an online marketplace connecting aviation, aerospace, and defense buyers and sellers. The company is sales-driven—80% of active hiring targets sales roles—while simultaneously building out AI-assisted tooling (GPT, Gemini, DeepKeek, OpenAI, plus an in-house role-play training platform). The tech stack reveals a focus on sales velocity (HubSpot, Marketo, Mailchimp, Apollo, ZoomInfo, Sales Navigator) paired with workflow automation (n8n, Zapier) and adoption friction as a recurring pain point, suggesting the platform faces onboarding and integration challenges as it scales.
PartsBase is a 51–200 person marketplace and community platform for aviation and aerospace component trading. Founded in 1996 and based in Deerfield Beach, Florida, the company facilitates transactions across multiple aircraft types (Airbus, Boeing, Cessna, Piper, Beechcraft, helicopters) and serves both established businesses and independent professionals in the aviation supply chain. Current growth priorities center on geographic expansion into Asia-Pacific, membership enrollment, and improving platform adoption through partner enablement and streamlined onboarding. The company is actively hiring across sales, finance, and product, with leadership-level roles open.
PartsBase uses HubSpot, Marketo, and Mailchimp for marketing and sales automation; ZoomInfo, LinkedIn Sales Navigator, and Apollo for prospecting; Stripe for payments; n8n and Zapier for workflow automation; and OpenAI, GPT, Gemini, and DeepSeek for AI features, including an AI-powered role-play training platform.
PartsBase is actively expanding in the Asia-Pacific region and hiring across the United States and Malaysia to support that footprint growth.
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PartsBase Inc.'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 →
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