Decision-maker targeted marketing platform for C-suite communications
Applecart runs a platform that puts executive content in front of specific decision makers and their networks, buying reach through The Trade Desk, DV360, Amazon DSP and social ads managers. A Python and Snowflake data layer, plus OpenAI and Google Gemini, backs active work on predictive modeling and next-generation measurement. Accelerating hiring spread across sales, engineering and research points to a push to prove audience impact, not just deliver impressions.
Notable leadership hires: Chief of Staff
Applecart is a privately held company headquartered in New York, NY, founded in 2013, with 201–500 employees. Its platform helps C-suite leaders such as CEOs, CMOs and corporate affairs heads reach targeted decision makers and the people around them across many channels. Clients include large corporations, communications and advertising agencies, trade associations, nonprofits and government bodies. Use cases span public affairs, corporate communications, investor relations, employee relations and brand marketing. Hiring is currently focused in the United States.
Applecart uses Python, Snowflake, OpenAI and Google Gemini, with ad buying through The Trade Desk, DV360, Amazon DSP, and Facebook, LinkedIn and Twitter ads. Okta, Slack, Zendesk and Gong support internal operations.
Job posts point to next-generation measurement and optimization offerings, advocacy and political polling, predictive modeling, brand lift studies, LMS integration and internal automation tooling.
Yes. Hiring velocity is accelerating, with openings in sales, engineering, research, marketing and product, plus a Chief of Staff role. All hiring is in the United States.
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Applecart'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.