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LangChain in San Francisco seeks an experienced Head of Web Operations to own the strategy and day-to-day running of the company’s web properties across marketing, product and education. You will plan roadmaps, oversee intake and launch processes, and manage the CMS and tooling stack to support rapid experiments and reliable content.
You will lead conversions and SEO programs with analytics, testing and governance, align multiple teams without formal authority, and keep content accurate as
Operations · San Francisco, CA · FullTime · Lead level
The role owns the strategy and day to day running of the company's web properties across marketing, product and education. It asks for someone who can plan a roadmap, run intake and launch processes, manage a CMS and tooling stack, and lead conversion and SEO programs with analytics and experiments. A strong candidate brings web fluency across architecture and technical foundations, comfort with data and testing, and the ability to align many teams without formal authority.
The company sells tools for building and running AI agents, so the site must explain technical products clearly to developers and buyers. AI can speed up content production and experiment analysis, which raises the bar for governance, accuracy and page quality. Judgment about information architecture, developer trust and which changes are worth shipping stays with the person in the role.
Working here means learning how agent platforms are described and evaluated, since the site covers observability, evaluation and deployment products. The role builds AI experience by using analytics and testing tools to measure how developer audiences respond, and by keeping content accurate as products change quickly. Understanding what developers look for when judging agent tools would help.
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.
LangChain provides an open agent engineering platform and open source frameworks for building, testing, deploying, monitoring, and governing AI agents, per the company.