L

LangChain

Builds open-source tools for making AI agents

Regional Director - Enterprise Sales

Full-Time
No salary listed
Expert
New York, NY, USA
Remote
Sales & Account ManagementAccount Executive

About the job

Requirements
  • At least 7 years of enterprise software sales experience, including at least 2 years leading quota-carrying sales teams.
  • A proven track record managing teams that sell complex technical products to enterprise customers.
  • Experience hiring, coaching, and developing high-performing Account Executives.
  • Strong command of enterprise sales fundamentals, including qualification, discovery, value selling, mutual action plans, forecasting, negotiation, and executive engagement.
  • Experience selling to technical buyers such as engineering, infrastructure, data, AI/ML, developer platform, or product teams.
  • Ability to operate in a fast-moving, early-stage or high-growth environment where playbooks are still being built.
  • Strong cross-functional instincts and a collaborative approach to working with Product, Engineering, Marketing, Sales Engineering, and Customer Success.
  • Ability to simplify complex technical concepts for different audiences.
  • High ownership, low ego, and willingness to be hands-on with customers, deals, and team development.
Responsibilities
  • Own regional revenue targets, pipeline generation, forecast accuracy, and overall sales execution.
  • Lead, coach, and develop a team of enterprise Account Executives.
  • Build a culture of accountability, customer focus, strong qualification, and consistent execution.
  • Partner with Sales Engineering, Customer Success, Product, Marketing, and Sales leadership to improve win rates and customer outcomes.
  • Drive disciplined execution across territory planning, account strategy, opportunity qualification, mutual action plans, forecasting, and expansion motions.
  • Stay engaged in strategic opportunities, including executive alignment, deal strategy, negotiation, and closing.
  • Coach the team on selling to technical and executive audiences, including engineering leaders, AI teams, platform teams, product leaders, and business stakeholders.
  • Inspect pipeline, identify risks early, and ensure clear next steps across priority opportunities.
  • Develop a view of market demand, buyer personas, competitive dynamics, and customer pain points across the region.
  • Refine the enterprise sales motion as the company scales toward a more repeatable, predictable sales organization.
  • Recruit, onboard, and retain high-performing sales talent as the region grows.
Desired Qualifications
  • Experience selling developer tools, infrastructure software, observability, data platforms, ML/AI tooling, or open-source commercial products.
  • Familiarity with LLMs, AI agents, RAG, observability, evaluations, or modern AI application development.
  • Experience helping scale a regional sales function as a company moves from founder-led or early GTM to a more repeatable enterprise sales motion.
  • Experience with MEDDIC, MEDDPICC, Command of the Message, or similar enterprise sales methodologies.
  • Prior success selling into both digital-native and large enterprise accounts.
  • Experience working in a highly technical, product-led, or open-source-influenced sales environment.

About the company

L

LangChain

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Website

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

Series B

Total Funding

$160M

Headquarters

San Francisco, California

Founded

2023

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Simplify Jobs

Simplify's Take

What believers are saying

  • Big customers rely on it: LangChain says half the 10 largest US companies run its paid LangSmith platform.
  • Equity has gained value: LangChain's valuation rose from $200 million in February 2024 to $1.25 billion in October 2025.
  • Sales and field engineers are in demand: 63 of LangChain's 101 open roles in October 2026 work directly with customers.

What critics are saying

  • AI labs build what LangSmith sells: Anthropic's Claude Managed Agents, launched April 2026, hosts agents for Notion and Asana.
  • Expect five office days a week: LangChain requires it of engineers living near San Francisco, New York or Boston.
  • Popularity outruns revenue: LangChain's libraries are free, so sales rest mainly on its LangSmith platform's 6,000-plus customers.

What makes LangChain unique

  • It isn't tied to one AI lab: a single LangChain interface lets apps switch among OpenAI, Anthropic and Google models.
  • Customers are also owners: Workday and Cisco use LangChain and, with ServiceNow and Databricks, invested in October 2025.
  • Developers already know its code: LangChain's open-source frameworks passed 1 billion downloads by March 2026, NVIDIA said.

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Benefits

  • Company Equity

Growth & Insights and Company News

6 month growth

5%

1 year growth

1%

2 year growth

0%
Coinfomania
Oct 25th, 2026
Fetch.ai's new integrations could revolutionize AI agent.

Fetch.ai's new integrations could revolutionize AI agent. October 25th, 2026 Fetch.ai integrates with LangChain and Google Gemini, enhancing AI agent capabilities. Here's what this means for the future of AI development. Quick take. Summary is AI generated, newsroom reviewed. * Fetch.ai announces integration with LangChain and Google Gemini. * Community buzz surges as AI agent functionalities expand. * Traders monitor the implications for the broader crypto landscape. Sponsored: Coinfomania - Get your ad in the spotlight. Book your slot! Fetch.ai's recent tweet revealed collaborations with several high-profile tech platforms, including LangChain and Google Gemini. This move signifies a strategic effort to enhance the capabilities of AI agents within its ecosystem. As noted in the tweet, the integrations aim to provide developers with advanced tools, potentially reshaping the AI landscape in the crypto space. What happened. The broader crypto market is currently experiencing mixed signals, with varying momentum across different assets. Fetch.ai's announcement has sparked notable interest, especially among developers and tech enthusiasts, as it signifies a deeper engagement with existing platforms like LangChain and Google Gemini. By enabling AI agents to interface with these tools, Fetch.ai is positioning itself to capitalize on the growing demand for AI-driven solutions in blockchain technology. This integration may further enhance the functionality of AI agents, allowing them to perform more complex tasks while interacting seamlessly with payment systems like those from Stripe. Fetch.ai is a decentralized platform that aims to simplify the development of AI agents, providing a robust environment for creating intelligent applications. The collaborations with major tech players like LangChain and Google Gemini are poised to expand the capabilities of Fetch.ai's ecosystem, attracting further interest from developers looking to leverage AI in their projects. What comes next. Traders and developers should closely observe how these integrations develop and their potential impact on Fetch.ai's network. With increasing interest in AI and blockchain convergence, the market may see a shift in sentiment if Fetch.ai can successfully implement these partnerships. The growing community buzz around these integrations could also lead to increased trading activity as stakeholders assess their implications for the future.

AiThority
Oct 23rd, 2026
Diagrid brings agentic durable execution to Goose.

Diagrid brings agentic durable execution to Goose. New Diagrid Catalyst integration for Goose, alongside support for LangChainGo, Mastra and other leading agent frameworks, lets agents survive crashes and resume at the last committed step on any Kubernetes cluster. Oct 23, 2026 Prev Next 1 of 43,839 Diagrid, developer of the world's most reliable foundation for mission-critical workflows and autonomous AI agents and the company behind the Distributed Application Runtime (Dapr), announced a new Diagrid Catalyst integration for Goose, an open source project hosted by the Agentic AI Foundation (AAIF), extending agentic durable execution to the open-source general-purpose AI agent, while also adding support for LangChainGo and Mastra. This release extends Catalyst's support to over 15 agent frameworks for Python, TypeScript, Java and C#. With Catalyst, a Goose recipe commits each step - every LLM call, extension tool call and sub-recipe invocation - before the next one begins. If the process or the node dies, the recipe resumes at the last committed step. Production agents run for minutes, hours or days. Containers are redeployed, nodes fail and API calls time out. Without durable execution, any of those events restarts the run from the beginning; every completed LLM call, tool call and API request executes again, and the organization pays for the same tokens twice. Catalyst commits each step before the next one begins, so when a process dies, the workflow resumes at the exact step that failed. Diagrid Catalyst adds durable execution underneath Goose recipes and subagents, so a long-running run resumes at the last committed step instead of restarting. Catalyst plugs into Goose through its standard extension mechanism, so no changes to Goose itself are required. Goose gives developers an open, extensible agent runtime that can operate through desktop, CLI and API interfaces, connect to external tools and systems through model context protocol (MCP) extensions and orchestrate work through reusable recipes and subagents. With Catalyst, a Goose recipe commits each step - every LLM call, extension tool call and sub-recipe invocation - before the next one begins. If the process or the node dies, the recipe resumes at the last committed step. Work already completed is not repeated and is not paid for twice. The result is a clean separation between the agent experience and the durability layer: developers keep Goose's recipes, sub-recipes, subagents and MCP extensions exactly as they are, and Catalyst supplies the execution durability beneath them. Added Support Built for Kubernetes Diagrid has also added integrations with LangChainGo and the TypeScript framework Mastra, bringing durable execution to organizations developing and deploying agents to Kubernetes backends. Some agent platforms tie durability to a single hosting environment, but Catalyst takes a different approach. It runs on Dapr, the Cloud Native Computing Foundation (CNCF)-graduated open-source project used in production at thousands of organizations, making agent workloads portable across AWS, Azure, Google Cloud and on-premises clusters. Teams avoid vendor lock-in, with no need to rewrite anything when they move. "Go and TypeScript agents on Kubernetes hit the same failure every long-running process hits: something breaks, and the work starts over," said Yaron Schneider, co-founder and CTO of Diagrid and chair of the Agentic AI Foundation Workflows Working Group. "These integrations let developers keep the framework they chose and gain a runtime that picks up where the agent stopped. And since Catalyst is built on Dapr, the same durability runs on any Kubernetes environment, in any cloud or on-premises."

PR Newswire
Oct 14th, 2026
Quantiphi and LangChain partner to scale production-ready Agentic AI for enterprises.

Quantiphi and LangChain partner to scale production-ready Agentic AI for enterprises. Oct 14, 2026, 09:02 ET MARLBOROUGH, Mass., Oct. 14, 2026 /PRNewswire/ - Quantiphi, an AI-native services company, and LangChain, the company behind the industry-standard LangSmith platform, today announced a strategic partnership to help enterprises adopt agent engineering at scale, from first use case to enterprise-wide rollout, and achieve measurable value. The partnership brings together LangChain's enterprise agent engineering platform, which includes LangSmith, LangGraph and Deep Agents, with Quantiphi's forward-deployed engineering (FDE) capabilities, enterprise AI transformation expertise and deep industry experience across financial services, insurance, healthcare and life sciences, telecom and others. Together, Quantiphi and LangChain will enable enterprises to build agentic systems within their secure environments while helping them retain control over their data, context and intellectual property. The joint approach is designed to preserve flexibility across frontier and open-weight models and cloud infrastructures, helping customers move from fragmented experimentation toward greater AI self-sufficiency without sacrificing portability or control. "Being successful with Agentic AI in the enterprise requires domain knowledge, active SME collaboration and curating data flywheels," Quantiphi Head of Frontier AI GTM Siddharth Kotwal said. "By unifying Quantiphi's engineering expertise with LangSmith platform by LangChain, we seamlessly embed agents into core business workflows, translating innovation into measurable enterprise value." The partnership will focus on three key priorities: * Governance and Observability: Establishing observability, evaluation and governance tools for agentic transformation in the enterprise. * Embedded Engineering: Forward-deployed engineering support to scale enterprise workflows and systems with LangChain's platform. * Continual Learning: Creating feedback loops that convert production traces, expert feedback and evaluation outcomes into continuously improving agent performance. "LangSmith gives teams visibility into how their agents actually behave in production," LangChain Vice President of Sales Darren Moffett said. "Quantiphi brings the implementation expertise to design, build and deploy those agents inside the enterprise. Together, we can take a customer from a working prototype to a production agent without them having to bridge the two on their own." The partnership is designed to help enterprises accelerate the path from pilot to production, standardize agent engineering across the organization and build lasting AI capability that becomes more valuable with every deployment. About Quantiphi Quantiphi is an AI-native services partner that empowers enterprises to own their intelligence and compound their competitive edge. Quantiphi builds sovereign AI foundations within an enterprise's secure environment, giving them absolute control over their data, context, IP and an AI foundation that is portable across a variety of cloud infrastructures. By getting their data AI-ready and shifting from fragmented experimentation to lean, sovereign engineering, Quantiphi enables true organizational self-sufficiency by transforming AI from a consumption expense into a high-ROI asset. Quantiphi measures success by tangible business outcomes, delivering the lasting AI capability that compounds their competitive edge. Learn more at Quantiphi.com and follow us on Linkedin, X, formerly Twitter and Instagram. About LangChain LangChain enables every company to own their intelligence. LangChain's open, model-agnostic harnesses give teams choice and control over how they build their agent architecture. LangSmith brings testing, deployment and monitoring together so teams can continuously improve their agents, compound intelligence and govern them at scale. Media Contact: V. Deshpande SOURCE Quantiphi

PR Newswire
Oct 13th, 2026
DXC and LangChain Advance Agentic AI Harnesses for Mission-Critical IT Operations.

DXC and LangChain Advance Agentic AI Harnesses for Mission-Critical IT Operations. Oct 13, 2026, 00:01 ET * Partnership brings together DXC's decades of experience operating mission-critical enterprise systems with LangChain's technology for safely and securely managing AI agent harnesses * DXC OASIS, built on LangChain's open-source LangGraph runtime, is scaling toward 125 customer environments across regulated industries and multiple geographies * Across 500 measured use cases, OASIS has reduced resolution time by 95% on average, with diagnostic accuracy of 92% or better ASHBURN, Va., Oct. 13, 2026 /PRNewswire/ - DXC Technology (NYSE: DXC), a leading enterprise technology and innovation partner, today announced a partnership with LangChain, the company behind the open-source LangGraph agent framework and LangSmith agent engineering platform, to advance governed agentic AI across mission-critical enterprise IT environments. The partnership builds on DXC's use of LangGraph within DXC OASIS, its intelligent orchestration platform and operating model for mission-critical IT operations. DXC is also licensing LangSmith to support the development, evaluation, and observability of OASIS agents. OASIS is already in production and scaling toward 125 customer environments across regulated industries and multiple geographies. Together, these capabilities help DXC build, orchestrate, evaluate, and continuously improve AI agents while applying the enterprise context, governance, human oversight, and continuous assurance required for critical technology environments. Bringing Agentic AI Into Mission-Critical Operations Through the partnership, DXC is using LangGraph and LangSmith to advance how OASIS agents are built, orchestrated, evaluated, and continuously improved. LangGraph provides the open-source framework for agent orchestration, including capabilities such as delegation, state management, and human-in-the-loop workflows, while LangSmith provides tooling for agent development, evaluation, and observability. OASIS integrates these capabilities to enterprise IT operations, enabling agents to respond to operational events, investigate issues in parallel, draw on specialized capabilities across technology domains, and bring people into the process when judgment or approval is required. This allows human experts to focus on higher-value decisions while agents provide the capacity and speed to address operational issues at scale. Across specific production use cases, filesystem incidents that previously took 53-90 minutes can be resolved in 3-6 minutes, while database performance incidents have moved from 2-3 hours to 5-12 minutes. Complex problem management that previously required 2-6 days has been reduced to 8-10 minutes. "Agentic AI has the potential to fundamentally change how enterprises operate their most critical technology, but models alone are not enough," said Dan Gray, President, Global Infrastructure Services, DXC Technology. "Across more than 500 measured use cases, OASIS has reduced resolution time by 95% on average, with diagnostic accuracy of 92% or better when validated against senior engineer judgment. Through our work with LangChain, we're bringing together advanced agent technology, operational expertise, and governance to put AI agents to work safely at enterprise scale." Scaling Agentic AI with Governance and Human Oversight A core focus of the partnership is helping enterprises expand the use of AI agents while maintaining appropriate governance and human oversight. Using LangChain technology, OASIS now enables agents to operate within defined authority while maintaining the controls required for mission-critical environments. Actions are assessed based on factors including reversibility, impact, verifiability, and an agent's track record. Sensitive actions can be paused for human approval before execution, while agent decisions, tool calls, and outcomes are traced to provide visibility into how agents operate. OASIS also grounds agents in the specific enterprise environments in which they operate. Agents can draw from system-specific and customer-specific information, DXC operational expertise, and vendor documentation, helping them reason using the context and requirements of each customer environment rather than relying solely on general model knowledge. By combining this enterprise context with defined governance policies and human oversight, OASIS enables organizations to expand the role of AI agents in production while maintaining accountability and control. "Agents are transforming the application layer for every business, and the enterprises pulling ahead are taking ownership of their agent stack," said Julia Schottenstein, Chief Operating Officer, LangChain. "That means adapting the harness to their business, grounding agents in proprietary context, and building the governance and continuous improvement loops that make agents reliable in production. We're proud to bring that model into mission-critical enterprise operations through our partnership with DXC." An Open Approach to Enterprise Agentic AI The partnership also supports an open approach to agentic AI designed to give enterprises flexibility and control as AI technologies evolve. OASIS is model agnostic and supports interoperability with third-party and customer-owned systems, enabling organizations to select different models for different workloads based on requirements including quality, cost, latency, and privacy. OASIS is also designed to continuously improve as it operates, using insights from agent executions to improve performance and incorporate lessons from individual scenarios into the broader system over time. Deployments can span public cloud, private cloud, dedicated, and sovereign environments without requiring a redesign of the underlying architecture. Customers retain control of their data, workflows, and the operational capabilities they build on top of the platform, while preserving flexibility across models, infrastructure, and deployment environments. DXC and LangChain detail their approach in a new technical white paper, DXC OASIS: The Harness for Mission-Critical IT Operations, which explores how organizations can operationalize AI agents while maintaining governance, accountability, and human oversight across mission-critical environments. About DXC Technology DXC Technology (NYSE: DXC) is a leading enterprise technology and innovation partner delivering software, services, and solutions to global enterprises and public sector organizations - helping them harness AI to drive outcomes at a time of exponential change with speed. With deep expertise in Managed Infrastructure Services, Application Modernization, and Industry-Specific Software Solutions, DXC modernizes, secures, and operates some of the world's most complex technology estates. Learn more on dxc.com.

PR Newswire
Oct 13th, 2026
DXC and LangChain partner on agentic AI, cutting IT incident resolution times by 95%

DXC Technology has partnered with LangChain to bring governed AI agents into mission-critical IT operations. DXC uses LangChain's LangGraph framework within its OASIS orchestration platform, and is licensing the LangSmith platform to develop and evaluate OASIS agents. OASIS is in production and scaling toward 125 customer environments across regulated industries. Across more than 500 measured use cases, DXC says it has cut resolution time by 95% on average, with diagnostic accuracy of 92% or better. Database performance incidents that took two to three hours now take 5-12 minutes. Agents act within defined authority, and sensitive actions can be paused for human approval. Their decisions and tool calls are traced. OASIS is model agnostic and can run on public cloud, private cloud, dedicated, and sovereign environments.