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LangChain in San Francisco is seeking a Performance Marketing Manager to own paid search across Google and Microsoft, and to lead early AI advertising experiments, from strategy and budgets to building campaigns and landing pages. You will manage sizable budgets and tie ad results to pipeline rather than clicks.
The ideal candidate thrives with technical products, speaks to developer audiences, and embraces testing new channels even without a ready playbook.
The role asks for someone to run paid search across Google and Microsoft plus an early effort on ChatGPT advertising, from strategy and budgets down to building campaigns and landing pages. A strong candidate has several years of hands on paid search work, manages large budgets, and ties ad results to pipeline rather than clicks. Comfort with technical products and developer audiences matters, along with a habit of testing new channels without a ready playbook.
AI shifts the work toward new ad surfaces such as ChatGPT and toward faster testing of copy and landing pages, while the judgment about where to spend and what counts as a qualified lead stays with the person. The role sits close to the company's own product, so the marketer is both a user of AI tools and a seller of them. Measurement and honest attribution remain human calls, especially on channels with less mature reporting.
The job offers direct experience building an advertising approach on an AI platform while it is still forming, alongside established search channels. A candidate can build this by running small structured tests on new ad formats, learning how AI assisted search changes intent and query patterns, and connecting those results to CRM data. Familiarity with the company's agent and evaluation tools would help in speaking credibly to developer and enterprise audiences.
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LangChain provides an open agent engineering platform and open source frameworks for building, testing, deploying, monitoring, and governing AI agents, per the company.