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How a GTM professional runs software projects by borrowing engineering workflows

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A go-to-market (GTM) strategist with no formal engineering background has adopted software engineering processes to manage and ship production software. Using Linear as a project management backbone, they route every task — from GTM workflows to client tools — through a structured Backlog-to-Done pipeline powered by AI agents. Each agent handoff logs its reasoning as a comment in Linear, turning tickets into auditable records and pushing work into smaller, well-defined tasks. To improve output quality, the author uses a 'grill-me' prompt to stress-test ideas before writing specifications, and loads all business context into a repository file so AI agents are onboarded like new teammates. The approach separates high-judgment work for frontier models like Claude while offloading bulk, repetitive tasks to open models for cost and throughput efficiency.

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How a GTM professional runs software projects by borrowing engineering workflows · ShortSingh