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Manager Langchain Jobs (NOW HIRING)

LangChain, Inc

Python OSS Engineer

San Francisco, CA · On-site

$160K - $240K/yr

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the ... An ownership-minded approach to work, with the ability to manage your work efficiently and ...

LangChain, Inc

Education Engineer

San Francisco, CA · On-site

You'll work closely with LangChain's engineering team to stay at the frontier of what's possible with LangGraph, LangChain, and the broader ecosystem, and work with the Technical Content Manager to ...

Focused

Lead Agent Engineer (Langchain)

Chicago, IL · On-site

$175K - $250K/yr

Deep expertise in LangChain, LangGraph and LangSmith * Lead teams through end-to-end delivery ... Collaborate closely with designers, product managers, and stakeholders to continuously deliver ...

Focused

Lead Agent Engineer (Langchain)

Chicago, IL · On-site

$175K - $250K/yr

Deep expertise in LangChain, LangGraph and LangSmith * Lead teams through end-to-end delivery ... Collaborate closely with designers, product managers, and stakeholders to continuously deliver ...

Focused

Lead Agent Engineer (Langchain)

Denver, CO · On-site

$175K - $250K/yr

Deep expertise in LangChain, LangGraph and LangSmith * Lead teams through end-to-end delivery ... Collaborate closely with designers, product managers, and stakeholders to continuously deliver ...

LangChain, Inc

Web Lead

San Francisco, CA · On-site

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the ... Manage the CMS and tooling stack. Own the relationship with our CMS and web tooling vendors. Ensure ...

New

LangChain, Inc

Senior Security Engineer

San Francisco, CA · On-site

$180K - $240K/yr

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the ... Vuln management: Own scanning/triage/patch SLAs; coordinate with engineering to remediate quickly ...

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Manager Langchain information

What are the key skills and qualifications needed to thrive as a Manager Langchain, and why are they important?

To thrive as a Manager Langchain, you need a strong background in software engineering, natural language processing (NLP), and experience with AI/ML frameworks, often supported by a degree in computer science or a related field. Proficiency with LangChain, Python programming, cloud platforms (such as AWS or GCP), and familiarity with LLM APIs like OpenAI is highly valuable. Excellent leadership, project management, and communication skills help in guiding teams and translating technical requirements into actionable plans. These capabilities are essential for delivering effective AI solutions, ensuring project success, and maintaining alignment between technical and business objectives.

How does a Manager Langchain typically collaborate with cross-functional teams during AI-powered application development?

As a Manager Langchain, you will frequently work with data scientists, software engineers, product managers, and UX designers to ensure seamless integration of language models into applications. Effective communication is key, as you’ll be translating technical requirements into project plans and helping to resolve bottlenecks. You’ll also coordinate code reviews, monitor project progress, and facilitate knowledge sharing to align everyone toward project goals. This cross-functional collaboration is crucial for delivering scalable, user-centric AI solutions.

What are Manager Langchain roles?

A Manager Langchain is typically responsible for overseeing the development and deployment of applications built using the LangChain framework, which is designed for creating applications powered by large language models (LLMs). Their duties often include managing teams of developers, coordinating with stakeholders, ensuring project milestones are met, and implementing best practices for prompt engineering and model integration. They may also be involved in setting technical direction, evaluating new AI tools and frameworks, and ensuring compliance with ethical and data privacy standards. Strong leadership, technical expertise in AI/ML, and experience with the LangChain ecosystem are essential for this role.

What is the difference between Manager Langchain vs Data Scientist?

AspectManager LangchainData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; experience with NLP and AI toolsBachelor's or master's in CS, Statistics, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTeam leadership, project management, collaboration with AI developersData analysis, model development, data visualization, research
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require technical expertise, the Manager Langchain focuses on leading AI projects and managing teams, whereas Data Scientists primarily analyze data and develop models. The Manager Langchain oversees project execution, while Data Scientists handle data analysis and model building.

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Manager Langchain jobs near you
Infographic showing various Manager Langchain job openings in the United States as of May 2026, with employment types broken down into 50% As Needed, 25% Full Time, and 25% Nights. Highlights an 90% Physical, and 10% Remote job distribution.

Python OSS Engineer

LangChain, Inc

San Francisco, CA • On-site

$160K - $240K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Job description

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 Python Open Source team maintains and evolves the core LangChain Python ecosystem used by millions of developers worldwide. We focus on building reliable, well-designed abstractions for developing AI agents and integrating them with real-world tools and systems. The team works closely with the open-source community, incorporating feedback and contributions while ensuring the core libraries remain stable, scalable, and production-ready. Our work defines the developer experience for building AI applications with Python.
About the role
In person 5 days/week in San Francisco, CA or Boston, MA (SF preferred)
We're looking to add a core maintainer to the LangChain team. This person would be responsible for maintaining and improving the LangChain Python package.
  • Improving the core abstractions and runtime of the langchain and langgraph packages
  • Improving documentation
  • Answering user questions and resolving issues
  • Use langchain to build example applications

What You'll Do
  • Improve the core abstractions and runtime of the LangChain and LangGraph packages
  • Improve documentation across the LangChain ecosystem
  • Answer user questions and resolve issues from the community
  • Use LangChain to build example applications that demonstrate how to build production AI systems

What You'll Bring
  • 5+ years of software engineering or applied machine learning experience
  • Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders
  • The ability to thrive in a fast-moving environment and view unstructured environments as an opportunity to identify impactful work and define the future success of the company
  • An ownership-minded approach to work, with the ability to manage your work efficiently and effectively without the need for close supervision

Compensation
  • Annual salary range: $160,000- $240,000

Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. 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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