LangChain
Enterprise Account Executive (Federal)
Washington DC · Senior
No sponsorship$300k-$350kDetected 77 days ago
TypeScriptLLMsRAGAgentic AILangGraphAI OrchestrationCybersecuritySalesAccount ManagementProcurementHRIS
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.
Responsibilities
- Own and manage the full federal sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
- Drive proof-of-concept efforts, working with solutions engineers and product experts to demonstrate tangible value in government environments
- 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
- Build long-term customer relationships and support post-sale success in partnership with our Deployed Engineering and support teams
Requirements
- 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 know how to navigate procurement roadblocks and keep complex deals moving forward
- You have deep familiarity with federal procurement: GWACs, IDIQs, OTAs, BPAs, and direct agency contract vehicles
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)
- Compensation Philosophy:
Compensation
- 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.
- $300,000 - $350,000 USD
Benefits
- Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
- 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
- Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Company info
- 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.
- 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.
- 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
Visa & Work Authorization
- security clearance (Secret, TS/SCI)
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This listing is sourced directly from LangChain's careers page and normalized into a canonical job model.