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LangChain

Builds open-source tools for making AI agents

Business Value Strategist

Customer SuccessPosted on Nov 11
Full-time$210k - $240kIn-person

About the Job

Requirements

  • At least 7 years of experience in value engineering, consulting, strategic finance, investing, or business operations, including experience at a high-growth B2B company.
  • Experience working directly with enterprise customers and senior decision-makers to influence significant investments.
  • Strong analytical and financial modeling skills.
  • Hands-on experience building and using agents, with curiosity to continue experimenting.
  • Strategic judgment and creativity, including asking effective questions, identifying opportunities, and making clear recommendations with incomplete information.

Responsibilities

  • Work closely with customers to understand their production agents, their use of LangSmith, and the business objectives they are solving with agents.
  • Build a deep understanding of customers' LangSmith usage, including the products they use and why, specific agent use cases, product success stories, and feedback, to establish the baseline for the business value case.
  • Use customer data to measure agent-specific outcomes, such as time saved, lower costs, and incremental revenue, to quantify the impact of agents built on LangSmith.
  • Communicate the business value case to customer executives using clear ROI models and defensible assumptions.
  • Partner with account executives to turn ROI findings or gaps into customer success plans that drive adoption.
  • Work with product and operations teams to connect usage data with customer results and impact, and help surface those insights directly in LangSmith.
  • Craft the playbook that will serve as the foundation for scaling the Business Value practice globally.

About the Company

LangChain

Builds open-source tools for making AI agents

LangChain makes free, open-source code libraries and a paid platform that software teams use to build and run AI agents, programs that use large language models to plan and finish tasks on their own. Its first library came out in October 2022, a month before ChatGPT, and in 2023 GitHub listed it among the open-source projects with the most contributors. Developers write agents with its LangChain, LangGraph, and Deep Agents libraries, which connect AI models to company data and software tools. Companies then pay for LangSmith, a platform that records each step an agent takes, scores its answers, and hosts finished agents. LangChain was founded in 2023 and is based in San Francisco.

Company size
201-500
Company stage
Late Stage VC
Total funding
$460M
Headquarters
San Francisco, CA
Founded
2023

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