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Cognition, an applied AI lab, seeks a role focused on how developers and AI assistants discover two developer sites. You will set a product roadmap across search and AI answer platforms, collaborate with engineers to fix technical site issues, and build programmatic pages while reporting on visibility and signups.
A strong candidate has demonstrated before-and-after discoverability results, can read a site crawl and write a clear spec, and writes content developers trust.
The role owns how people and AI assistants find two developer focused sites. It asks for someone who can set a roadmap across search and AI answer platforms, fix technical site issues with engineers, build programmatic pages, and report on visibility and signups. A strong candidate has shown before and after results in discoverability, can read a site crawl and write a clear spec, and writes content developers trust.
Much of developer research now happens by asking assistants and agents, so the work shifts toward understanding how those systems pick and cite sources. The human parts stay: judging which questions matter, writing content worth trusting, and running honest experiments to separate proof from guesswork. The role sits close to the product itself, since the company builds an AI coding agent.
The job offers direct hands on work in answer engine optimization, testing what changes how assistants and agents answer coding questions. A candidate can build this by running small experiments on how AI tools cite sources, tracking before and after visibility, and learning the technical basics of crawlability and site structure. Familiarity with developer tools and where developers search helps.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
Applied AI lab building Devin, an autonomous software engineering agent that plans, writes, debugs, and deploys code