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Manager Langchain Jobs (NOW HIRING)

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Lead Agent Engineer (Langchain)

New York, NY

$220K - $300K/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.

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the ... About the Role We're hiring a Manager to lead and scale our Commercial Account Management team. You ...

LangChain

Solutions Architect (San Francisco)

San Francisco, CA · On-site

$74.25 - $97.75/hr

... LangChain, LangGraph, or similar) for building agent-based applications. • Experience with state management patterns (short-term and long-term memory). • Experience designing and implementing ...

LangChain, Inc.

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the ... Comfort managing a steady volume of agreements of varying complexity, from routine vendor or ...

LangChain, Inc.

$350K/yr

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the ... Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and ...

LangChain, Inc.

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the ... program managers, and system integrators across the full lifecycle -- from pre-award technical ...

LangChain, Inc.

Commercial Counsel

San Francisco, CA · On-site

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the ... Comfort managing a steady volume of agreements of varying complexity, from routine vendor or ...

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Manager Langchain information

What is a manager Langchain?

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.

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 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.

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 September 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Software Engineering Manager, AI Observability & Evals Platform (New York, NY)

New York, NY • On-site

LangChain, Inc
See more jobs at LangChain, Incexternal

$200K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 hours 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 LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.
About the role
We're looking for an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. You'll define the technical direction, grow and mentor a world-class engineering team, and partner with product and design to deliver features that help developers build and deploy trustworthy AI systems with confidence.
What you'll do
  • Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountability
  • Strengthen LangChain's engineering culture through mentorship, high-quality code, and technical excellence
  • Shape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability Platform
  • Partner with product and design teams to define scope, sequence, and success criteria for key initiatives
  • Maintain a high bar for technical excellence while making sure the team moves with urgency and focus
  • Lead by example in writing clean, maintainable, and well-tested code in Go/Python and Typescript
  • Engage directly with customers to understand their needs and translate them into actionable product improvements

What you'll bring
  • Experience managing or tech-leading teams delivering complex full-stack products
  • Strong technical background in Go/Python and React/Typescript
  • Solid understanding of databases (Postgres, Redis and ClickHouse)
  • Proven ability to design high throughput data-intensive systems
  • Bias towards shipping quickly and learning from customers
  • Strong communication skills-able to collaborate with internal stakeholders and engage directly with customers
  • Bonus: Experience building AI/LLM-powered applications, developer tools, or observability platforms

  • Annual salary range: $200,000- $250,000

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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