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Location: San Francisco, CA; New York, NY Workplace: OnSite 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 Infrastructure team builds and maintains the systems that power LangChain’s developer platform, including LangGraph Cloud and LangSmith. The team focuses on reliability, scalability, and developer productivity across the stack, working closely with backend, frontend, and platform engineers to ensure services are deployed, tested, and operated with confidence. About the Role We’re hiring a Software Engineer to join the Infrastructure team and own developer productivity across our LangGraph Cloud/Platform and LangSmith products. You’ll work closely with Infrastructure, Backend, and Frontend teams to ship with confidence across Kubernetes-based services, APIs, and UI flows. You’ll also help pioneer quality practices specific to LLM applications, such as prompt regression testing and evaluation suites. Location: In person 5 days/week in San Francisco, CA or New York, NY What You'll Do - Own test strategy end-to-end across APIs, services, UI, data, and infrastructure (Kubernetes, Terraform, Helm) - Stand up ephemeral test environments in Kubernetes for pull requests and release candidates; seed test data and run hermetic test suites - Shift quality earlier in CI/CD pipelines (GitHub Actions) through parallelization, caching, deterministic seeds, flake tracking, and quality gates - Build observability into testing workflows with rich failure artifacts such as logs, traces, and dashboards - Establish performance and reliability baselines for critical paths, including SLIs, SLOs, and regression detection - Partner on incident workflows by reproducing issues, adding targeted regression tests, and improving runbooks and postmortems - Write documentation including test plans, playbooks, and contributor guidelines for writing high-quality tests Example projects you might own - A pull-request ephemeral end-to-end testing harness that deploys a minimal LangSmith stack in CI and runs Playwright and API suites against seeded tenants - A k6 performance scenario that simulates multi-tenant traffic and surfaces p95/p99 latency regressions per release - A flake-budget system that automatically quarantines flaky tests, opens issues with artifacts, and tracks time-to-deflake What You'll Bring - 3+ years of experience as a software engineer or infrastructure engineer - Strong hands-on experience with Python and testing frameworks such as pytest - Experience working with CI/CD systems (GitHub Actions preferred) and improving pipeline performance and reliability - Solid understanding of API testing, mocking/stubbing, and data setup/teardown - Comfort defining quality standards, writing test plans, and driving cross-team execution Nice to Have - Experience with load and performance testing tools such as k6 - Familiarity with observability tooling such as Datadog or OpenTelemetry - Experience testing services running on Kubernetes and containerized environments - Basic infrastructure experience with Helm, Terraform, Kubernetes networking, or secrets management - SQL fluency for validating data (Postgres, ClickHouse, BigQuery) - Familiarity with Go, Node, or React for targeted white-box tests and improving system testability Compensation - Annual salary range: $165,000- $250,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. 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.

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Location: San Francisco, CA; New York, NY Workplace: OnSite 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 LangChain 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. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain 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. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the role: Location: Hiring in San Francisco, New York City, Austin and Chicago We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions. This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you. How to be successful in this role: - 4+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred) - Strong track record of sourcing, qualifying, and closing outbound deals - Execution mindset: you excel in fast-paced environments and move with urgency - Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft. - Self-starter and resourceful; you find ways to solve problems and move things forward Compensation & Benefits: - Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, life insurance, lunch & dinner for employees in our SF and NYC offices, and more - Annual salary: $280,000 OTE Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. 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.

Location: San Francisco, CA Workplace: OnSite 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: GTM Engineering builds the AI agents, systems, and automation that power how our go-to-market teams work. We partner across Sales, Marketing, Customer Success, Support, and other GTM functions to identify high-leverage problems and build solutions that improve speed, quality, and scale. Our work spans four core areas: - Identify — find high-leverage GTM workflows where AI can meaningfully improve how we operate - Build — design, build, and deploy production AI agents and automated workflows across GTM - Enable — drive adoption through thoughtful rollouts, playbooks, best practices, and ongoing enablement - Evangelize — share what we build and learn externally through content, demos, talks, and open source examples ABOUT THE ROLE: You'll own the health, cost, performance, and business impact of the GTM Agent System, and build the feedback loops that keep it improving. Because we build the platform we run on, you'll also operate the agent on LangSmith the way we tell customers to, and turn that practice into the reference story enterprises keep asking us for. You'll work across Python 3.11, FastAPI, LangGraph, DeepAgents, LangSmith, Supabase Postgres, BigQuery, Anthropic and OpenAI models, and Slack and Next.js surfaces. WHAT YOU'LL DO: - Monitor production health across every graph, catching errors, slow runs, expensive runs, and silent failures before reps report them - Triage incoming issues from Slack, tickets, and rep reports, fixing small things directly and routing the rest to the right owner - Run the weekly eval suite, investigate failures, and turn real production bugs into permanent regression tests - Track cost and latency by model, graph, use case, and role, and recommend concrete changes to model choice, reasoning effort, and caching - Track usage and adoption per rep and per feature, and own the weekly health report the team runs on - Build the business metrics that show leadership what the agent is worth, from reply rates and meetings booked to hours reclaimed and ROI - Build our own monitoring and alerting on LangSmith, and write the “how we run our own agent” story for customers WHAT YOU'LL BRING: - Strong production Python and SQL, comfortable working in traces, logs, and warehouse tables - Real experience running LLM applications, including tracing, evals, and prompt and cache mechanics - SRE or production operations instincts: percentiles, SLOs, and separating noise from real pattern - Healthy skepticism about metrics; you check what a number actually counts before you publish it - Clear writing skills, and interest in publishing what you learn - High agency; you notice what's missing and take initiative to build it NICE TO HAVES: - LangGraph or LangSmith experience - Experience building an eval suite from scratch - BigQuery or dbt - Prior DevRel-adjacent writing - Empathy for sales and go-to-market users Salary: $165,000 - $220,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. 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.

Location: London Workplace: OnSite 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 LangChain 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. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain 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. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the role: Location: Hiring in London,UK We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions. This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you. WHAT YOU’LL DO: - Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through - Build relationships with prospects and customers, understanding their needs and how our products can help - Prospect strategically into SMB, mid-market, and small-enterprise accounts How to be successful in this role: - 3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred) - 1+ year of experience in a closing role for SMB, commercial, and mid-market accounts - Strong track record of sourcing, qualifying, and closing outbound deals - Execution mindset: you excel in fast-paced environments and move with urgency - Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft. - Self-starter and resourceful; you find ways to solve problems and move things forward 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 salary range: $175,000-$220,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. 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.

Location: Tampa, FL Workplace: Remote 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 LangChain 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. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain 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. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the role: We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. Location: - Florida WHAT YOU’LL DO: - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies How to be successful in this role: - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry 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 salary: $350,000 OTE USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. 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.

Location: Atlanta, GA Workplace: Hybrid 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 LangChain 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. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain 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. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the role: We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. Location: - Atlanta WHAT YOU’LL DO: - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies How to be successful in this role: - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry 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 salary: $350,000 OTE USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. 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.

Location: Atlanta, GA Workplace: OnSite 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 Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $150,000–$250,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. 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.

Location: Remote - US; Boston, MA; New York, NY Workplace: Remote 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 ROLE: This role can be based remotely in the U.S. Ideally SF, NYC, or Boston. LangChain is building the infrastructure that powers the next generation of AI applications. Our tools are used by thousands of developers and teams to build, debug, and ship production-grade LLM-powered products. As our product surface area grows, so does the need for a cohesive, scalable, and high-quality UI foundation. That’s where Design Systems comes in. We’re looking for a Design Systems Engineer to help build, own, and evolve LangChain’s component library—the foundation that our frontend teams rely on to ship fast without sacrificing quality, accessibility, or consistency. This role sits at the intersection of Design and Engineering. You’ll work closely with designers, product engineers, and platform teams to turn design intent into robust, reusable components and tooling that scale across the product. You’ll have ownership, influence, and your work will be directly consumed across LangChain’s products. WHAT YOU'LL DO: - Build out LangChain’s component library - Design and implement reusable, composable React components that are flexible, accessible, and production-ready - Partner closely with designers to translate design systems, tokens, and interaction patterns into code - Build reliable UI quality systems - Develop design system tooling and improve workflows around theming, tokens, versioning, testing, and component discovery (e.g. Storybook) - Make thoughtful architectural decisions that enable accessibility, performance, consistency, and maintainability across LangChain’s UI stack - Improve UI build and test workflows - Optimize build performance, bundling strategy, and package versioning for the component library - Maintain tooling for testing, dependency management of the UI app WHAT YOU'LL BRING: - Extensive experience building modular, composable, and well-documented component libraries and/or design systems - Deep knowledge of React, TypeScript, HTML, and CSS, familiarity with: styling approaches (CSS Modules, CSS-in-JS, Tailwind, Sass, etc.) and design system toolings (Storybook, Chromatic, tokens pipelines, etc.) - Experience collaborating closely with designers and non-engineering partners - Strong attention to detail and a high bar for craft and genuine passion for accessibility and inclusive design - Familiarity with testing UI components and visual regression testing Annual salary range: $180,000 - $240,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. 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.

Location: Philadelphia, PA Workplace: Remote 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 LangChain 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. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain 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. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the role: We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. Location: - Philadelphia, PA WHAT YOU’LL DO: - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies How to be successful in this role: - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry Compensation & Benefits: - Annual OTE: $350,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. 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.

Location: Chicago, IL Workplace: Remote 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 Deployed Engineering team is the technical front line of our go-to-market motion. We partner with account executives from the first technical conversation through production rollout, helping companies evaluate LangChain, prove it out on their hardest use case, and get agents running reliably at scale. This is a hands-on, highly technical team. Solutions Engineers own the technical win: scoping evaluations, designing POCs that mirror real workloads, answering the deep architecture questions that decide a deal, and staying with the customer after signature to make sure what we sold actually ships. We sit at the intersection of engineering, product, and sales. What we learn in the field shapes both how customers adopt LangChain and what we build next.   ABOUT THE ROLE You will work on some of the hardest problems in applied AI, in front of customers, on a clock. Not demos, not research: systems real teams depend on in production. The feedback loop is fast, the impact is measurable in closed deals and live deployments, and the work directly shapes how AI agents get built in the real world.   WHAT YOU'LL DO - Own the technical win. Partner with AEs to scope evaluations, run technical discovery, and design POCs that map to the customer's real use case rather than a canned demo - Be the technical authority in the room during architecture reviews, security and infrastructure questions, and head-to-head evaluations - Co-architect and co-build production AI agents with customer engineering teams, from prototype through rollout - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Run demos, trainings, and workshops for developer audiences, from single-team sessions to larger technical enablement - Advise customers post-sale on architecture, best practices, and roadmap-level decisions, and find the expansion opportunities that come out of those conversations - Surface field feedback to product and build reusable POC assets, cookbooks, and example code that scale across accounts - Contribute code upstream when it meaningfully improves customer outcomes   WHAT YOU'LL BRING - 6+ years in a relevant technical role such as solutions engineering, sales engineering, customer engineering, software engineering, or founding and product engineering, ideally at a startup or scale-up - Comfort owning the technical thread in a sales cycle: discovery, POCs, architecture reviews, and competitive evaluations - Ability to explain technical tradeoffs clearly and build trust with developer audiences, then translate that into a decision the customer is ready to make - A track record of taking responsibility for outcomes, not just recommendations - A bias toward action and a willingness to figure things out as you go - Genuine interest in operating AI agents in production, not just building demos   NICE TO HAVES - You've deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Experience carrying a technical number or working against pipeline alongside a sales team - Experience with LLM evaluation, observability, or guardrails - Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts   COMPENSATION Annual OTE range: $200,000–$300,000 USD. Final compensation will depend on experience, skills, and location. Looking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles.   Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. 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.

Location: Boston, MA Workplace: OnSite 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 LangChain 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. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain 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. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the role: We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. Location: - Boston, MA WHAT YOU’LL DO: - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies How to be successful in this role: - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry Compensation & Benefits: - Annual OTE: $350,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. 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.

Location: San Francisco, CA Workplace: OnSite 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 ROLE We’re looking for a Solutions Marketing Manager to shape how LangChain brings its full platform to priority industries, enterprise buyers, and high-value use cases. This role sits at the intersection of product and GTM. You’ll translate customer problems into clear solution narratives, repeatable sales plays, campaign themes, and customer-facing assets that help teams understand where LangChain fits in their AI strategy. You’ll develop industry solutions, use case solutions, and enterprise solution stories for segments such as financial services, healthcare, life sciences, and other priority markets. You’ll work closely with sales, solutions, product, demand generation, field marketing, education, and customer teams to understand what matters in the field, turn those insights into messaging and collateral, and help create programs that support pipeline and revenue generation. The role covers the full LangChain platform, including Observability & Evaluation, Deployment, Sandboxes, LLM Gateway, Fleet, Engine, and OSS. The goal is to explain how these products work together to help companies build, deploy, monitor, and improve agents in production. You’ll define the problems we solve for specific audiences, package those into repeatable narratives, and help GTM teams take them to market. WHAT YOU’LL DO DEVELOP INDUSTRY AND USE CASE SOLUTIONS - Build solution narratives for priority industries and enterprise use cases. Initial focus areas include financial services, healthcare, and life sciences, with room to expand based on GTM priorities. - Translate customer problems into clear solution stories. You’ll connect LangChain’s platform capabilities to the business, operational, governance, and technical needs of specific audiences. - Define repeatable use case messaging. You’ll identify where agents can create value across functions and industries, then turn those patterns into solution briefs, use case pages, campaign assets, sales decks, webinar narratives, and customer-facing content. - Build a point of view on enterprise AI adoption. You’ll help explain how companies move from prototypes and isolated experiments to production deployments with the controls, visibility, and evaluation practices they need. - Stay close to the market. You’ll synthesize customer conversations, sales feedback, competitive activity, industry trends, and product signals into sharper messaging and GTM recommendations. SUPPORT ENTERPRISE GTM MOTIONS - Partner with sales, solutions, field marketing, demand generation, and customer-facing teams on targeted enterprise campaigns and account motions. - Build sales enablement for industry and enterprise conversations. This may include talk tracks, discovery questions, objection handling, use case maps, executive-ready decks, demo narratives, and competitive context. - Turn field learnings into reusable sales plays. You’ll work with account teams to understand what resonates with buyers and turn those insights into repeatable messaging, collateral, and campaign programs. - Create materials for complex buying committees. You’ll help LangChain speak clearly to technical buyers, AI leaders, IT and security stakeholders, business leaders, and functional teams. - Support pipeline and revenue programs. You’ll help connect solution narratives to campaigns, events, webinars, ABM motions, field programs, and sales follow-up. WHAT YOU’LL BRING - You have 3–6+ years of experience in solutions marketing, enterprise marketing, product marketing, developer marketing, industry marketing, or a related GTM role. - You’ve built messaging, collateral, or campaigns around technical products, AI/ML products, developer tools, B2B SaaS, infrastructure, automation, productivity tools, or platform products. - You can turn customer problems into clear solution narratives. You know how to move from “what the product does” to “why this matters for this audience, industry, or use case.” - You understand enterprise buying motions. You know how to create assets for complex buying committees, regulated industries, sales-led motions, and executive conversations. - You’re comfortable with technical products. You don’t need to be an engineer, but you should be able to learn technical concepts quickly, ask good questions, and translate details into customer-facing messaging. - You like working with sales and customer-facing teams. You’re interested in what happens in the field and know how to turn that feedback into stronger messaging and enablement. - You’re comfortable working across many audiences, including developers, technical buyers, operators, admins, AI leaders, business stakeholders, and nontechnical end users. - You can balance strategic thinking with execution. You can define a messaging POV, then build the deck, brief, landing page copy, or sales asset that brings it to life. - You’re comfortable with ambiguity and iteration. The market for production-ready AI agents is still being defined, and you’re excited to ship, learn, and improve. - You have genuine curiosity about agents, enterprise AI adoption, and how they will change how teams work. NICE TO HAVE - Experience building industry or solutions marketing programs for financial services, healthcare, life sciences, public sector, or other regulated industries. - Experience supporting enterprise sales teams through enablement, account-based campaigns, customer-facing storytelling, competitive support, or executive-facing collateral. - Familiarity with the LLM, agent, or AI application development ecosystem. - Experience with PLG motions, onboarding, activation, lifecycle marketing, or self-serve adoption. WHY JOIN - You’ll help build the solutions marketing motion at LangChain. There is room to shape how we define priority industries, package use cases, support enterprise campaigns, and enable the field. - You’ll work on a category that is moving from experimentation to enterprise adoption. Companies are trying to understand where agents can create real value and how to deploy them with control. - You’ll join a small, fast-moving team. You’ll get real scope, close access to product and GTM leaders, and the ability to ship meaningful work quickly. Compensation: 140,000 - 195,000K Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. 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.

Location: San Francisco, CA; New York, NY Workplace: OnSite 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 Security team ensures that while AI moves at breakneck speed, everyone driving the racecar is wearing a seatbelt. We secure LangChain's core platform and protect AI agents from emerging threats. We work across the stack so developers can confidently ship from prototype to production without compromising on safety or privacy. ABOUT THE ROLE You'll be the hands-on detection and response engineer responsible for how we see, stop, and learn from threats across LangChain's production platform, cloud infrastructure, and the services that host and execute agentic workloads. You'll partner closely with Product Security to turn threat models, vulnerabilities, and incidents into telemetry, detections, and durable defenses. Your primary focus is engineering: building detection, investigation, and response systems that scale the Security team's impact beyond what manual operations allow. We are looking for engineers who think like builders, not just operators — strong software skills are a must. This role participates in an incident on-call rotation, but its core focus is engineering systems that reduce risk, speed up investigations, and make incidents less frequent and less costly. Location/City: San Francisco or NYC WHAT YOU'LL DO - Own the detection lifecycle: Translate threat models, incidents, and attacker behavior into telemetry requirements and detections-as-code. Validate coverage, measure signal quality, tune false positives, and continuously test whether defenses work. - Build security monitoring and telemetry: Design the telemetry pipeline end-to-end across cloud (GCP/AWS), Kubernetes, and the LangSmith/LangGraph control plane. Instrument services, define the signals that matter, and make security data reliable and useful. - Engineer investigations and threat hunting: Build tools and workflows for proactive hunting, evidence collection, incident scoping, and containment. Turn investigation findings into new detections and lasting improvements. - Use agents to scale the team: Build reliable internal AI agents and automation that triage alerts, enrich findings, gather evidence, scope incidents, and accelerate routine security work. Design human-in-the-loop controls and evaluations so automation is safe, observable, and trustworthy. - Lead incident response and participate in on-call: Triage, scope, contain, and remediate security incidents, then drive postmortems that produce durable engineering changes. - Partner with Product Security: Turn product threat models and vulnerability findings into production monitoring, and feed real-world detection and incident learnings back into secure design. WHAT YOU'LL BRING - 5+ years in security engineering, with meaningful experience in detection engineering, security operations, or incident response — and the software skills to build your way out of repetitive work. - Strong software engineering in Python or Go (TypeScript a plus). You design maintainable systems and write production code, not just one-off scripts. - Cloud and Kubernetes detection depth: Experience with GCP or AWS logging, Kubernetes audit and runtime telemetry, workload identity, and turning raw signals into actionable detections. - Detection and adversary expertise: The ability to model realistic attacker behavior, hunt across complex systems, test detection coverage, and distinguish meaningful signal from noise. - Hands-on incident response: You've participated in on-call, led incidents, and written postmortems that changed how a team operates. - Experience building reliable automation or developer-facing systems: You can design APIs and workflows, instrument what you build, evaluate quality, and operate it in production. - A pragmatic product mindset: You can identify users and requirements, prioritize the highest-leverage problems, define success, and ship iteratively. NICE TO HAVE - Experience building or operating AI agents for security workflows such as alert triage, investigation, evidence collection, or human-in-the-loop response. - Proficiency using AI tooling to accelerate security investigations and engineering work. - Understanding of AI threats, adversarial testing, and the security boundaries of LLM and agent workloads. - Exposure to SOC 2 or ISO 27001 monitoring and evidence automation. - Experience with infrastructure as code such as Terraform or Helm. - Experience securing both SaaS and self-hosted or air-gapped deployments. Annual salary range: $185,000- $250,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. 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.

Location: New York, NY; San Francisco, CA Workplace: OnSite 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 LangSmith Engine team is building a proactive agent engineer that analyzes production traces, identifies important failures, recommends and writes fixes, and helps prevent those issues from coming back. We’re building agents that can understand complex software systems and continuously improve the quality of other AI agents. ABOUT THE ROLE: We’re looking for an experienced research engineer to help make the Engine agent more capable and more efficient. You’ll study real agent failures, build benchmarks that capture what matters, run experiments to improve performance, and turn successful ideas into production. This may include prompting and agent-harness improvements, model selection, fine-tuning and post-training custom models. The focus is on measurable improvements to the overall agent. This role also requires a understanding of production engineering and system-level tradeoffs. Engine is a production system, so improving an agent is not just about maximizing benchmark performance—it also means understanding the impact on cost, latency, reliability, and scalability. You’ll work in the same team with production engineers to design, test, and ship improvements that work reliably in real-world environments. Location: SF and NYC WHAT YOU’LL DO: - Build and maintain benchmarks and evaluations that measure the quality and efficiency of Engine agents on real-world tasks. - Design and run experiments to improve agent performance across models, prompting, context, tools, orchestration, and agent strategies. - Explore and implement post-training and fine-tuning techniques when they can meaningfully improve agent capabilities, quality, or cost. - Turn successful experiments into production improvements, working closely with engineers and researchers to measure impact and prevent regressions. - Help define the ML roadmap and technical direction for improving Engine agents, and mentor other engineers through strong technical leadership. WHAT YOU’LL BRING: - 4+ years of experience in ML/AI research, or a closely related field. - Master’s or Ph.D. in a relevant scientific field. - Hands-on experience working with LLMs and AI agents, including analyzing model behavior and improving real-world performance - Strong experience designing benchmarks, evaluations, and experiments for AI/ML systems; you know how to tell whether a change actually made an agent better. - Strong software engineering skills, with a track record of taking ideas from research prototype to measurable production impact. - You have maximum agency and strong research judgment: you can identify high-impact problems, work through ambiguity, move quickly, and communicate your findings clearly. NICE TO HAVE: - Ph.D. in Machine Learning, Computer Science or Physics. - Hands on experience with LLM-as-a-judge, automated graders, synthetic data generation, or human evaluation. - Hands on experience with reinforcement learning, preference optimization, SFT, RLHF/RLAIF, or other post-training techniques for LLMs. - Experience optimizing LLM agents for cost, latency, or task efficiency on productions - Experience with model serving, inference optimization, distributed systems, or GPU infrastructure. Compensation Salary Range: $240,000-$280,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. 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.

Location: San Francisco, CA Workplace: OnSite 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 ROLE LangChain builds infrastructure that powers AI-native applications. Our open-source framework and commercial products enable developers and enterprises to build, deploy, and scale applications with large language models. We are seeking a business-minded Commercial Counsel to support a broad range of commercial legal work across LangChain’s go-to-market and business operations. In this role, you will draft, review, and negotiate a mix of customer, partner, vendor, and other commercial agreements, helping the business move quickly while thoughtfully managing legal and operational risk. This is a highly cross-functional role for someone who enjoys working close to the business and is excited to support both day-to-day contracting and the systems that make contracting more scalable. You’ll work closely with teams across Sales, Partnerships, Finance, Security, Product, Revenue Operations, and Operations to help structure, negotiate, and execute agreements that support LangChain’s growth. Over time, this role may take on increasing responsibility for LangChain’s partner and alliances work, including technology partnerships, channel relationships, integrations, and strategic go-to-market initiatives. In the near term, the role will support a broader variety of commercial agreements, including vendor contracts, while helping build out the processes and infrastructure needed for scale. You will also play an important role in improving LangChain’s commercial legal operations, including helping design vendor review processes, contracting workflows, templates, playbooks, approval paths, and supporting the implementation of Ironclad. WHAT YOU’LL DO - Draft, review, redline, and negotiate a broad range of commercial agreements, including customer agreements, partner agreements, vendor agreements, NDAs, order forms, MSAs, DPAs, security addenda, amendments, and related commercial documentation. - Support LangChain’s Sales, Partnerships, Finance, Security, Product, Revenue Operations, and Operations teams by providing practical, business-oriented legal guidance. - Review and negotiate commercial agreements efficiently, while identifying when issues require escalation or cross-functional input. - Support enterprise sales deals as needed, including SaaS, cloud, and technology agreements with sophisticated customers. - Support partner and alliance-related agreements, including technology partnerships, referral arrangements, reseller or channel relationships, integration partnerships, marketplace arrangements, co-selling motions, and strategic collaborations. - Review and negotiate vendor agreements and help develop a scalable vendor review process, including intake, risk assessment, approval workflows, fallback positions, and cross-functional review practices. - Partner closely with internal stakeholders to facilitate efficient deal execution while balancing legal, business, security, financial, and operational risk. - Advise on contractual issues related to data protection, privacy, security, intellectual property, AI/LLM usage, confidentiality, indemnities, limitation of liability, compliance, partner programs, integrations, and vendor risk. - Help implement and operationalize Ironclad, including contract intake workflows, approval routing, templates, clause libraries, playbooks, reporting, and process improvements. - Contribute to the development and continuous improvement of contract templates, negotiation guidelines, approval workflows, fallback positions, and scalable contracting processes. - Identify patterns across customer, partner, and vendor negotiations and recommend practical improvements to LangChain’s standard positions, processes, and risk frameworks. - Serve as a trusted legal partner to business stakeholders, helping teams understand tradeoffs and make sound decisions in ambiguous or fast-moving situations. WHAT YOU’LL BRING - 5–8 years of experience drafting, reviewing, and negotiating commercial technology agreements, ideally with a mix of law firm and in-house experience. - In-house experience at a SaaS, infrastructure, AI, cloud, developer tools, enterprise software, or high-growth technology company strongly preferred. - Experience with a broad mix of commercial agreements, including customer agreements, vendor agreements, partner agreements, NDAs, MSAs, order forms, DPAs, security addenda, amendments, and related documentation. - Experience supporting partnerships, alliances, channel, reseller, marketplace, referral, integration, co-sell, or other ecosystem-driven commercial arrangements. - Strong foundation in SaaS, cloud, or technology contracting, including familiarity with data privacy, security, intellectual property, confidentiality, indemnity, limitation of liability, AI/LLM usage, and compliance issues in a B2B technology environment. - Comfort managing a steady volume of agreements of varying complexity, from routine vendor or commercial contracts to more strategic partner or customer transactions. - Ability to independently manage negotiations while knowing when to escalate novel, complex, or higher-risk issues. - Experience helping build or improve legal processes, contracting workflows, approval paths, templates, playbooks, vendor review processes, or other legal operations infrastructure. - Experience with Ironclad or another contract lifecycle management platform is a plus. - Strong business judgment and the ability to balance legal risk with commercial objectives in a fast-paced, high-growth environment. - Excellent communication skills and comfort advising non-legal stakeholders across Sales, Partnerships, Product, Security, Finance, Revenue Operations, and Operations. - Highly organized, responsive, and able to manage multiple priorities with strong attention to detail. - Low-ego, collaborative, and excited to help build scalable legal processes for a growing company. - Admitted to practice law in the applicable jurisdiction; California admission preferred, or ability to register as in-house counsel in California. Compensation range: 150K - 215K + equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. 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.

Location: San Francisco, CA Workplace: OnSite 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 ROLE Cloud providers and Systems Integrators help LangChain reach customers that our direct sales and customer engineering teams can't reach on their own. This role is the technical foundation behind that ecosystem. You'll build the reference architectures, integration patterns, and enablement programs that make partner motions work technically: co-sell with cloud hyperscalers, and independent delivery capability at systems integrators and global systems integrators (GSIs). You build with and for a partner, whose technical team then takes what you built to dozens of their own clients. About the role AWS, Google Cloud, and Microsoft Azure help LangChain reach customers that our direct sales and customer engineering teams can't reach on their own. This role is the technical foundation behind those cloud alliances. You'll build the reference architectures, integration patterns, and co-sell assets that make our cloud motions work technically. That covers marketplace listings and private offers, joint solutions with cloud field teams, and technical wins on named accounts. You build with and for each cloud provider, and their partner and field teams then take what you built to many of their own customers. When a cloud deal involves a services partner, you make sure that partner can deliver on LangChain. Key responsibilities Cloud partner engineering (AWS, GCP, Azure) - Own the technical relationship with partner and field teams at AWS, Google Cloud, and Microsoft Azure - Build reference architectures and integration patterns for running LangChain, LangGraph, DeepAgents and LangSmith on each cloud, including integrations with each provider's native AI and data services (for example Amazon Bedrock, Gemini Enterprise, AzureAI) - Support the technical side of co-sell: joint solution briefs, deployment guides, and validated architectures that cloud sellers can bring to their customers - Partner with cloud account teams on solutioning for named accounts, from discovery through technical win - Keep our marketplace listings, deployment options, and co-sell technical assets current as the product evolves - Enable cloud field and partner teams through workshops, demos, and technical briefings so they can position LangChain without pulling in our engineers for every deal - Build and maintain joint technical plans with each cloud provider, turning shared account and industry priorities into a concrete set of reference assets Marketplace motions with services partners - Support systems integrators and resellers when they're part of a cloud deal, such as marketplace private offers transacted through a channel partner or joint deployments on a customer's cloud - Give those partners the technical assets they need to scope and deliver LangChain on AWS, GCP, or Azure, using existing reference architectures and implementation guides rather than a standalone enablement program Partner technical evangelism and feedback - Serve as a technical escalation point for complex deployments sourced through cloud partners - Represent LangChain at cloud provider events, summits, and joint webinars - Gather feedback from cloud partners and the field, and route it back to product and engineering What we're looking for 7+ years of experience in a technical, partner-facing or customer-facing role such as Partner Engineer, Partner Solutions Architect, Solutions Architect, or Sales Engineer. Experience at or alongside a hyperscaler is a strong plus. We also like former founders and technical leaders, so if you have an unusual background but the right skill set, you're welcome to apply. Cloud and partner experience - Track record of working with AWS, Google Cloud, or Microsoft Azure partner and field teams to drive co-sell, from joint solution design through technical win - Familiarity with cloud marketplace mechanics such as listings, private offers, and channel partner offers, and with hyperscaler co-sell programs - Experience enabling a partner's field or technical teams so they can position and deploy a product without depending on you for every deal - Comfortable working across engineering, partnerships, and sales at the same time - Strong presentation and technical communication skills, able to translate between technical and business stakeholders, including C-suite executives Agent engineering and development - Hands-on experience building with LLM frameworks such as langchain, langgraph, or similar, including RAG patterns and agent architecture - Experience designing evaluation frameworks and iterating on prompts and agent behavior based on results - Strong Python skills Cloud architecture and integration - Deep working knowledge of at least one of AWS, GCP, or Azure, and familiarity with the other two. Strong background in GCP or Azure preferred. - Hands-on experience with cloud AI platforms and managed model services - Experience designing integrations, sample repositories, or reference architectures that other teams can pick up and reuse - Familiarity with vector stores, tool integration, and API design in agentic systems Key attributes - You build credibility with a cloud provider's technical and field teams and act as their trusted advisor on LangChain - Building and evangelizing are both part of the job. You're equally comfortable writing an integration and presenting it at a cloud summit - You build assets that scale. A reference architecture should work across every cloud account team, not only the one in front of you - You're comfortable with variety. AWS, GCP, and Azure each have their own programs, sellers, and ways of working, and switching between them doesn't throw you off LOCATION: San Francisco COMPENSATION: $185K to $225K Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. 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.

Location: Remote - US Workplace: Remote 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 ROLE: This position can be based remotely in We’re looking to bring on an experienced frontend engineer to develop and enhance new features on LangSmith, our enterprise platform product for LLM application observability, testing, and debugging. WHAT YOU WILL DO - Develop new user-facing features using React & Typescript - Build reusable components and front-end libraries for future use - Translate designs and wireframes into high-quality code - Optimize components for maximum performance across a vast array of web-capable devices and browsers - Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability WHAT YOU WILL BRING - Extensive front-end engineering experience with strong proficiency in React, JavaScript and TypeScript - Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn - Familiarity with REST APIs and experience working closely with fullstack and backend engineers - Knowledge of modern authorization mechanisms, such as JWTs - A passion for user experience, design and building clean, engaging, and intuitive interfaces - Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders - The DNA to thrive in a start-up, fast-paced environment. You view unstructured environments as an opportunity to make the most impactful work and to help define what's next. - An ownership mind-set. You are self-driven and look for opportunities to make an impact. - Strong computer science fundamentals, ideally with a degree in computer science or related field. Compensation Annual salary range: $180,000-$240,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. 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.

Location: San Francisco, CA; Boston, MA; New York, NY Workplace: OnSite 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 Role: We’re looking to add a frontend engineer to develop and enhance new features on LangSmith, working on our enterprise platform product for LLM application observability, testing, and debugging. *This role can be based in our San Francisco, New York, or Boston office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way), may be eligible for hybrid arrangements depending on location and role requirements. What You Will Do: - Develop new user-facing features using React & Typescript - Build reusable components and front-end libraries for future use - Translate designs and wireframes into high-quality code - Optimize components for maximum performance across a vast array of web-capable devices and browsers - Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability What You Will Bring: - 2+ years of Front-end engineering experience with strong proficiency in React, JavaScript and TypeScript - Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn - Familiarity with REST APIs and experience working closely with fullstack and backend engineers - Knowledge of modern authorization mechanisms, such as JWTs - A passion for user experience, design and building clean, engaging, and intuitive interfaces - Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders - The DNA to thrive in a start-up, fast-paced environment. Views unstructured environments as an opportunity to figure out the most impactful work and help define the future success of the company - An ownership mind-set. You are self-driven and look for opportunities to make an impact. - Strong computer science fundamentals, ideally with a degree in computer science or related field Compensation - Annual salary range: $160,000-$195,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. 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.