Level

LangChain

Federal Account Executive

AI in this role

langgraphclay
ragai-agents
About Us

At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.

With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.

Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.

About the Team

The LangChain Federal team works directly with U.S. Government customers — including the Department of Defense (DoD), Civilian Agencies, and the Intelligence Community (IC) — who are building and operating AI agents in mission-critical environments. We partner closely with government program managers, technical leads, and system integrators across the full lifecycle, from pre-award shaping and evaluations through post-deployment expansion. We are building the federal go-to-market motion from the ground up, and every team member has a direct hand in shaping how LangChain is adopted across the federal landscape.

About the Role

We're looking for a Federal Enterprise Account Executive to join our growing GTM team and lead LangChain's expansion into U.S. federal agencies. In this role, you'll own the full sales cycle — helping technical teams at DoD, Civilian, and IC agencies discover, evaluate, and adopt LangChain's products. This is a high-impact, high-visibility role where you'll collaborate closely with engineering, product, solutions engineering, and professional services to shape how AI agent infrastructure gets adopted across government. If you're a relationship-driven seller who understands the federal landscape and wants to be part of building a go-to-market motion from the ground up, we'd love to hear from you.

What You'll Do

  • Own and manage the full federal sales cycle, from lead stage to close with a strong bias for follow-up and follow-through

  • Act as a trusted advisor to federal prospects and customers — including DoD, Civilian Agencies, and IC — learning their mission requirements and demonstrating how LangChain's products solve real problems

  • Drive proof-of-concept efforts, working with solutions engineers and product experts to demonstrate tangible value in government environments

  • Navigate federal procurement mechanisms — GWACs, IDIQs, OTAs, BPAs, and direct agency contracts — to close complex, multi-stakeholder deals with speed and precision

  • Build and maintain trusted relationships with senior agency decision-makers, program managers, and contracting officers, as well as system integrator partners (e.g., Booz Allen, SAIC, Leidos) and resellers (e.g., Carahsoft) who help drive and support deal flow

  • Stay on top of the federal AI landscape — agency priorities, executive orders, budget cycles, and competitor activity — to educate customers and shape LangChain's federal strategy

  • Build long-term customer relationships and support post-sale success in partnership with our Deployed Engineering and support teams

  • Negotiate pricing and deal terms and work with legal to redline contracts

  • Bring federal customer insights back to product and engineering teams to inform the roadmap and improve the user experience

  • Help define and iterate on our federal sales playbook — your input will help shape how we go to market in this segment

What You'll Bring

  • You have 7+ years of experience selling complex software to enterprise or federal customers, with at least 3+ years focused on U.S. federal accounts (DoD, Civilian, and/or IC)

  • You have a proven track record of meeting or exceeding federal revenue targets — ideally $2M+ ARR annually

  • You have deep familiarity with federal procurement: GWACs, IDIQs, OTAs, BPAs, and direct agency contract vehicles

  • You can translate complex technical concepts — LLMs, RAG, agent frameworks, APIs — into mission-aligned value for both technical and non-technical government buyers

  • You have established relationships across federal agencies and the system integrator ecosystem

  • Technical acumen with the ability to establish credibility with technical decision-makers at agencies

  • You thrive in fast-paced start-up environments and are energized by impact — you want to help build the federal playbook, not just follow one

  • Driven and solutions-oriented; you know how to navigate procurement roadblocks and keep complex deals moving forward

  • Passionate about generative AI and excited to help federal customers navigate a rapidly evolving technology landscape

  • You exemplify our operating principles:

    • You are motivated to build something great: you hold a high bar for quality, craft, and impact in every customer interaction and internal deliverable

    • You embrace hot takes: you bring informed opinions about the federal AI market, challenge assumptions, and engage in constructive debate with your team

    • You operate with maximum agency: you take ownership of your territory, move deals forward independently, and help cross-functional partners stay unblocked

    • You run to the roar: you lean into the complexity of government procurement, long deal cycles, and ambiguous buying processes — and find a way through

Nice to Have

  • Active or prior U.S. security clearance (Secret, TS/SCI)

  • Familiarity with LangChain, LangGraph, LangSmith, or similar AI orchestration and observability tools

  • Experience with FedRAMP, DoD Impact Levels (IL2–IL6), or other federal compliance and authorization frameworks

  • Existing relationships with federal-focused system integrators and resellers (e.g., Booz Allen, SAIC, Leidos, Carahsoft)

  • Prior experience building a federal GTM motion at an early-stage or growth-stage company

Compensation

Annual OTE range: $300,000 – $350,000 USD

Compensation Philosophy:

We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.

Benefits

Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

How we rate this

Federal Account Executive at LangChain rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RAGAI AgentsLangGraphClay

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. What are the limits of LangGraph that you've run into, and how did you work around them?
  4. What's a project where you used Clay hands-on?
  5. Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

  • List these exact terms on your resume: RAG, AI Agents, LangGraph, and Clay. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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