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职位LangChain

Enterprise Account Executive (Federal)

LangChain

Enterprise Account Executive (Federal)

LangChain

Washington DC

·

On-site

·

Full-time

·

2w ago

ABOUT US

At Lang Chain, 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.

Today, Lang Chain, Lang Graph, Lang Smith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust Lang Chain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.

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. Lang Chain is a place where your contributions can shape how this technology shows up in the real world.

ABOUT THE TEAM:

The Lang Chain 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 Lang Chain 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 Lang Chain'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 Lang Chain'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 Lang Chain'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 Lang Chain'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 Lang Chain, Lang Graph, Lang Smith, 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 & BENEFITS:

We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. 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.

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

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关于LangChain

LangChain

LangChain

Series B

A platform that provides open-source frameworks and tools for engineering and deploying language model agents.

51-200

员工数

San Francisco

总部位置

$200M

企业估值

评价

3.4

3条评价

工作生活平衡

2.5

薪酬

3.0

企业文化

2.8

职业发展

3.2

管理层

2.3

35%

推荐给朋友

优点

Working with cutting-edge AI technologies like LangChain and RAG

Hands-on experience building end-to-end AI projects

Exposure to modern applied AI development

缺点

Uncertainty about long-term career prospects and employability

Projects rarely make it to production use

Lack of senior developer mentorship and guidance

薪资范围

13个数据点

Mid/L4

Senior/L5

Mid/L4 · Product Designer

1份报告

$178,619

年薪总额

基本工资

$155,147

股票

-

奖金

-

$178,619

$178,619

面试经验

10次面试

难度

2.7

/ 5

时长

14-28周

录用率

60%

体验

正面 50%

中性 40%

负面 10%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Assessment/Take-home

4

Technical Interview

5

Virtual Onsite/Final Round

6

Offer

常见问题

System Design

Machine Learning/AI Knowledge

Coding/Algorithm

Technical Architecture

Behavioral/STAR