Abrar Admin

LangChain

<div><h2 class="jobSectionHeader">About the Role</h2>
We're looking for a Solutions Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.<h2 class="jobSectionHeader">
About Us:</h2>
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&rsquo;re at a stage where we&rsquo;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.<h2 class="jobSectionHeader"> 
Key Responsibilities</h2><ul><li>
Infrastructure &amp; Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines</li><li>
Agent Engineering &amp; Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations</li><li>
Customer Engagement &amp; Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams</li></ul><h2 class="jobSectionHeader">
What We're Looking For 
</h2><h3 class="jobSectionHeader">
Required Experience</h3>
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure &amp; Platform:<ul><li>
3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)</li><li>
Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments</li><li>
Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices</li><li>
Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing</li><li>
Experience designing high-availability and disaster recovery solutions</li><li>
Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)</li><li>
Experience with CI/CD pipelines for infrastructure and applications</li></ul>
Agent Engineering &amp; Development:<ul><li>
1+ years of experience building production AI/ML applications or agents</li><li>
Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications</li><li>
Experience with state management patterns (short-term and long-term memory)</li><li>
Experience designing and implementing evaluation frameworks for AI applications</li><li>
Strong prompt engineering skills with experience in optimization and A/B testing</li><li>
Experience with vector stores, RAG patterns, and knowledge organization</li><li>
Experience with tool integration, API design, and error handling patterns</li><li>
Strong Python and/or TypeScript development skills</li></ul>
Customer-Facing:<ul><li>
Customer-facing experience with enterprise customers</li><li>
Experience conducting technical assessments or infrastructure audits</li><li>
Strong communication skills with ability to explain technical concepts to diverse audiences</li></ul><h3 class="jobSectionHeader">
Key Attributes</h3><ul><li>
Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions</li><li>
Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences</li><li>
Experience working cross-functionally with engineering teams, product teams, and customers</li><li>
Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation</li><li>
Ability to balance infrastructure architecture with agent development work</li><li>
Strong engineering background with hands-on development experience</li></ul>
Location: Dallas, TX
Compensation:
<ul><li>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.</li><li>
$170K to $190K</li></ul></div>

Solutions Architect (Dallas)

<div><h2 class="jobSectionHeader">About the Role</h2>
We're looking for a Solutions Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.<h2 class="jobSectionHeader">
About Us:</h2>
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&rsquo;re at a stage where we&rsquo;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.<h2 class="jobSectionHeader"> 
Key Responsibilities</h2><ul><li>
Infrastructure &amp; Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines</li><li>
Agent Engineering &amp; Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations</li><li>
Customer Engagement &amp; Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams</li></ul><h2 class="jobSectionHeader">
What We're Looking For 
</h2><h3 class="jobSectionHeader">
Required Experience</h3>
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure &amp; Platform:<ul><li>
3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)</li><li>
Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments</li><li>
Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices</li><li>
Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing</li><li>
Experience designing high-availability and disaster recovery solutions</li><li>
Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)</li><li>
Experience with CI/CD pipelines for infrastructure and applications</li></ul>
Agent Engineering &amp; Development:<ul><li>
1+ years of experience building production AI/ML applications or agents</li><li>
Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications</li><li>
Experience with state management patterns (short-term and long-term memory)</li><li>
Experience designing and implementing evaluation frameworks for AI applications</li><li>
Strong prompt engineering skills with experience in optimization and A/B testing</li><li>
Experience with vector stores, RAG patterns, and knowledge organization</li><li>
Experience with tool integration, API design, and error handling patterns</li><li>
Strong Python and/or TypeScript development skills</li></ul>
Customer-Facing:<ul><li>
Customer-facing experience with enterprise customers</li><li>
Experience conducting technical assessments or infrastructure audits</li><li>
Strong communication skills with ability to explain technical concepts to diverse audiences</li></ul><h3 class="jobSectionHeader">
Key Attributes</h3><ul><li>
Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions</li><li>
Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences</li><li>
Experience working cross-functionally with engineering teams, product teams, and customers</li><li>
Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation</li><li>
Ability to balance infrastructure architecture with agent development work</li><li>
Strong engineering background with hands-on development experience</li></ul>
Location: Austin, Texas
Compensation:
<ul><li>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.</li><li>
$170K to $190K</li></ul></div>

Solutions Architect (Austin)

<div><h2 class="jobSectionHeader">About LangChain</h2>
At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.
Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.
LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.<h2 class="jobSectionHeader">
About the role:</h2>
We&rsquo;re looking for a Marketing Operations Manager to help scale the systems and data infrastructure behind our GTM engine.
This role owns supporting marketing in annual planning, managing the tech stack, attribution, data pipelines, reporting, automation, and campaign operations that enable the marketing and sales teams to operate effectively. You&rsquo;ll work closely with Marketing, Sales, RevOps, and Data to ensure our GTM organization runs on clean data and reliable systems.
This is a highly cross-functional role ideal for someone who enjoys building systems, solving data problems, and turning complex funnels into actionable insights.<h2 class="jobSectionHeader">
What you will do:</h2>
Strategy &amp; Planning<ul><li>
Partner with GTM leadership to define how marketing performance is measured across the funnel</li><li>
Help develop the metrics framework for marketing impact, including pipeline generation, opportunity influence, and deal acceleration, etc.</li><li>
Support annual planning and forecasting by providing data-driven insights into channel performance and pipeline contribution</li><li>
Translate business questions from leadership into analytical frameworks and measurable KPIs</li></ul>
Campaign Operations<ul><li>
Support the execution of marketing programs across events, webinars, lifecycle, paid media, and field marketing</li><li>
Manage campaign setup, tracking, and attribution across systems including HubSpot, Salesforce, Bizzabo, Goldcast, Paid Ads, etc.</li><li>
Ensure campaigns are properly structured to capture performance data across the full funnel</li><li>
Maintain campaign taxonomy and naming conventions to ensure clean reporting</li><li>
Partner with the marketing team to ensure campaigns are properly instrumented and measurable</li></ul>
Data, Analytics &amp; Attribution<ul><li>
Build and maintain dashboards that measure marketing performance across the funnel</li><li>
Develop and improve attribution models that measure how marketing influences pipeline and revenue</li><li>
Analyze campaign performance, pipeline creation, and conversion metrics to identify opportunities for improvement</li><li>
Partner with the data team to maintain marketing datasets and reporting infrastructure</li><li>
Help leadership understand the drivers of pipeline growth through clear reporting and insights</li></ul>
Tooling &amp; Automation<ul><li>
Own the entire martech stack including HubSpot, Salesforce, Segment, among others.</li><li>
Maintain integrations between marketing, sales, and product data systems</li><li>
Improve lead routing, lifecycle management, and data enrichment processes</li><li>
Identify opportunities to automate manual workflows across marketing and sales operations</li><li>
Evaluate and implement new tools that improve the efficiency of the GTM organization</li></ul>
How to be successful in this role:<ul><li>
5+ years in Marketing Operations</li><li>
Experience supporting annual planning, pipeline forecasting, and performance analysis to inform GTM strategy</li><li>
Deep expertise with HubSpot and Salesforce</li><li>
Strong SQL skills and experience working with modern data stacks (BigQuery, dbt, Reverse ETL, etc.)</li><li>
Familiarity with web data and event tracking tools (Segment, Google Tag Manager, server-side tracking, etc.)</li><li>
Proficiency using AI tools and LLM-powered workflows to improve productivity and automate GTM operations</li><li>
Experience operating in a warehouse-first analytics environment, where the data warehouse serves as the source of truth for marketing and revenue reporting</li><li>
Ability to build dashboards and reporting in BI tools (Looker, Tableau, Hex, etc.)</li><li>
Experience with automation and integration platforms (Zapier, n8n, Workato, Make)</li><li>
Experience owning and scaling a marketing technology stack, including vendor evaluation, system optimization, and identifying tool redundancies</li><li>
Deep understanding of B2B SaaS funnels and gtm metrics</li><li>
Ability to diagnose and improve complex marketing and GTM systems</li><li>
Comfortable collaborating cross-functionally with marketing, sales, data, and engineering teams</li></ul>
Compensation &amp; Benefits<ul><li>
Compensation: We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.</li><li>
Annual salary range: $160,000- $240,000.00</li></ul></div>

Marketing Operations Manager

<div>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&rsquo;re at a stage where we&rsquo;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&rsquo;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&rsquo;ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain&rsquo;s products.
This is a high-impact, high-visibility role where you&rsquo;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&rsquo;d love to hear from you.
Location:<ul><li>
New Jersey</li></ul><h3 class="jobSectionHeader">
What You&rsquo;ll Do:</h3><ul><li>
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through</li><li>
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems</li><li>
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value</li><li>
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption</li><li>
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams</li><li>
Negotiate pricing and deal terms and work with legal to redline contracts</li><li>
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience</li><li>
Help define and iterate on our sales playbook - your input will help shape our go to market strategies</li></ul>
How to be successful in this role:<ul><li>
5+ years of experience selling complex software to enterprise customers</li><li>
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity</li><li>
Excellent communication and storytelling skills</li><li>
Technical acumen with the ability to establish credibility with technical decision makers.</li><li>
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one</li><li>
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward</li><li>
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry</li></ul>
Compensation &amp; Benefits:<ul><li>
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.</li><li>
Annual salary: $350,000 OTE USD</li></ul></div>

Account Executive (New Jersey)

Join LangChain and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

LangChain

About Company

Solutions Architect (Dallas)

Solutions Architect (Austin)

Marketing Operations Manager

Account Executive (New Jersey)