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LangChain

Builds open-source tools for making AI agents

Federal Enterprise Account Executive

Account ExecutiveUpdated on Nov 14
Full-timeWashington, DC, USARemote

About the Job

Requirements

  • At least 7 years of experience selling complex software to enterprise or federal customers, including at least 3 years focused on U.S. federal accounts such as DoD, Civilian, or Intelligence Community agencies.
  • A proven record of meeting or exceeding federal revenue targets, ideally $2 million or more in annual recurring revenue.
  • Deep familiarity with federal procurement, including government-wide acquisition contracts, indefinite delivery/indefinite quantity contracts, other transaction authorities, blanket purchase agreements, and direct agency contract vehicles.
  • Ability to translate complex technical concepts, including large language models, retrieval-augmented generation, agent frameworks, and application programming interfaces, into mission-aligned value for technical and non-technical government buyers.
  • Established relationships across federal agencies and the system integrator ecosystem.
  • Technical acumen and the ability to establish credibility with technical decision-makers at agencies.
  • Ability to navigate procurement roadblocks and keep complex deals moving forward.
  • Passion for generative artificial intelligence.
  • Ability to take ownership of a territory, move deals forward independently, and help cross-functional partners stay unblocked.
  • Ability to bring informed opinions about the federal artificial intelligence market, challenge assumptions, and engage in constructive team debate.
  • Ability to handle government procurement complexity, long deal cycles, and ambiguous buying processes.

Responsibilities

  • Own and manage the full federal sales cycle, from lead stage through close, with consistent follow-up and follow-through.
  • Advise federal prospects and customers, including DoD, Civilian Agencies, and the Intelligence Community, by learning their mission requirements and demonstrating how LangChain products address their problems.
  • Drive proof-of-concept efforts with solutions engineers and product experts to demonstrate value in government environments.
  • Navigate federal procurement mechanisms, including government-wide acquisition contracts, indefinite delivery/indefinite quantity contracts, other transaction authorities, blanket purchase agreements, and direct agency contracts, to close complex multi-stakeholder deals.
  • Build and maintain relationships with senior agency decision-makers, program managers, contracting officers, system integrator partners, and resellers who support deal flow.
  • Monitor federal agency priorities, executive orders, budget cycles, and competitor activity to educate customers and shape federal strategy.
  • Support long-term customer relationships and post-sale success with Deployed Engineering and support teams.
  • Negotiate pricing and deal terms and work with legal to redline contracts.
  • Bring federal customer insights to product and engineering teams to inform the roadmap and improve user experience.
  • Help define and iterate on the federal sales playbook.

Desired Qualifications

  • Active or prior U.S. security clearance, including Secret or Top Secret/Sensitive Compartmented Information.
  • Familiarity with LangChain, LangGraph, LangSmith, or similar artificial intelligence orchestration and observability tools.
  • Experience with FedRAMP, DoD Impact Levels 2–6, or other federal compliance and authorization frameworks.
  • Existing relationships with federal-focused system integrators and resellers, such as Booz Allen, SAIC, Leidos, and Carahsoft.
  • Prior experience building a federal go-to-market motion at an early-stage or growth-stage company.

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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