Aliisa Rosenthal reflects on building OpenAI's enterprise sales organization and recommends starting with the work software can automate. Instead of first hiring a large sales team and adding tools later, she advises founders to build an efficient buying process and hire people for the bottlenecks that remain.
Aliisa Rosenthal recounts launching an expensive enterprise offering before a self-service alternative and seeing the latter grow faster. She argues that easier access can reveal what customers actually need from a premium product. She also describes missed opportunities when overwhelming inbound demand went unanswered, recommending prompt communication and useful lead information.
Aliisa Rosenthal urges teams to simplify pricing, paperwork and security-document access. She distinguishes ordinary self-service product trials from resource-intensive, supervised pilots, recommending the latter selectively. She suggests demonstrations using customer data or clearly defined commercial trials as possible alternatives when buyers need evidence.
Aliisa Rosenthal argues that people still matter for trust and value-based conversations, especially with larger customers. She advises choosing early design partners carefully, avoiding premature dependence on demanding enterprise accounts and using human support where it makes adoption easier. Her account emphasizes reducing buyer effort rather than assuming that more salespeople will solve every growth problem.
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