
Job Overview
Location
United States
Job Type
Full-time
Category
Sales
Date Posted
March 18, 2026
Full Job Description
đź“‹ Description
- • As an Enterprise Account Executive at LangChain, you will drive the adoption of cutting-edge AI agent technology by owning the full sales cycle for enterprise customers, directly contributing to the company’s mission of making intelligent agents ubiquitous and shaping how GenAI is deployed across industries.
- • You will act as a trusted advisor to technical stakeholders at Fortune 500 companies and high-growth startups, translating complex product capabilities into tangible business value through consultative selling, proof-of-concept leadership, and deep product fluency.
- • Your day-to-day responsibilities include managing end-to-end sales cycles from prospecting to close, conducting discovery sessions to uncover customer pain points, delivering tailored demonstrations of LangChain, LangGraph, LangSmith, and Agent Builder, and collaborating with sales engineers and product experts to validate technical fit and drive POC success.
- • You will stay current on generative AI trends and product updates to educate customers and influence internal roadmap discussions, negotiate pricing and contract terms with legal support, and ensure post-sale handoff to customer success teams to support long-term adoption and expansion.
- • A key part of your role will be feeding customer insights back to product and engineering teams to improve the user experience and inform feature prioritization, while also helping define and refine the sales playbook as LangChain scales its GTM motion.
- • You will operate in a fast-paced, unstructured startup environment where your initiative directly impacts go-to-market strategy, working closely with engineering, product, and customer success to align on customer needs and accelerate product-market fit.
- • LangChain’s team is composed of builders and innovators who have grown from open-source roots to serve 35% of the Fortune 500, backed by $125M in Series B funding from top-tier investors, creating a high-impact culture where individual contributions shape the future of AI agent adoption.
- • In this role, you will develop deep expertise in enterprise AI sales, strengthen your ability to sell complex technical solutions to C-suite and technical decision-makers, and gain experience building a scalable sales motion from the ground up in a high-growth AI infrastructure company.
🎯 Requirements
- • 5+ years of experience selling complex software or technical solutions to enterprise customers
- • Proven ability to build trust quickly with technical decision-makers and act as a trusted advisor in long sales cycles
- • Strong communication and storytelling skills, with the ability to convey complex AI concepts clearly and persuasively
- • Technical acumen sufficient to establish credibility with engineers, architects, and product teams
- • Thrives in fast-paced, unstructured startup environments and is motivated by building processes, not just following them
- • Passion for generative AI and a desire to help customers navigate its rapid evolution
🏖️ Benefits
- • Competitive compensation package including base salary, variable pay, and meaningful equity ($350,000 OTE USD)
- • Comprehensive health benefits including medical, dental, and vision coverage
- • Flexible vacation policy and 401(k) retirement plan with company match
- • Life insurance and other standard employee perks
- • Opportunity to work with cutting-edge AI technology used by industry leaders like Replit, Coinbase, Workday, and Cloudflare
Skills & Technologies
Go
Onsite
About LangChain, Inc.
LangChain, Inc. provides open-source software libraries and cloud services for building applications that integrate large language models with external data sources and workflows. Its tools help developers create retrieval-augmented generation systems, manage prompts, chain model calls, and monitor performance in production environments. The company was founded in 2023 and is headquartered in San Francisco, California.
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