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LangChain is seeking a Senior Operations professional in San Francisco to work with large enterprise customers. You will sit with customers to understand the agents they run in production and translate usage data into a compelling ROI for the LangChain platform.
You bring value engineering, consulting, strategic finance or investing experience in a fast-growing B2B environment, plus strong financial modeling and the poise to present to senior decision makers.
Operations · San Francisco, CA · FullTime · Senior level
This role asks for someone who can sit with large enterprise customers, understand the agents they run in production, and turn usage data into a clear money case for the platform. A strong candidate brings years of value engineering, consulting, strategic finance or investing work at a fast growing business to business company, plus solid financial modeling and the confidence to present to senior customer decision makers. Curiosity about building and using agents matters, since the value case rests on knowing how the product actually works.
The work is about proving that AI agents pay off, so the numbers and the customer relationship carry more weight than ever while the tools for gathering usage data keep getting faster. Models can speed up parts of the analysis, but judgment about which assumptions hold and how to frame a case for an executive stays with the person. The role also helps shape how value gets measured and shown inside the product itself.
A person here would learn how enterprises actually deploy agents and how to tie their outcomes to real cost and revenue figures. Building hands on familiarity with agent frameworks and the company platform, and practicing with real customer style use cases, would prepare someone well. Watching how usage data connects to business results is the core skill to develop.
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.