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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 ...

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LangChain, Inc

Solutions Architect (NYC)

Manhattan, NY

$69.50 - $91.50/hr

Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications * Experience with state management patterns (short-term and long-term memory)

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 ...

LangChain, Inc

Solutions Architect (Dallas)

Dallas, TX

$62.50 - $82.50/hr

Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications * Experience with state management patterns (short-term and long-term memory)

LangChain, Inc

Solutions Architect (Austin)

Austin, TX

$62.50 - $82.25/hr

Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications * Experience with state management patterns (short-term and long-term memory)

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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.

Customer Marketing Manager

LangChain, Inc

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 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 role:
We're looking for a Customer Marketing Manager to own how our customers' stories show up in the market. Our customers are building some of the most interesting agent systems in production today - and the best version of our marketing is them, in their own words, talking about what they built and why it matters.
You'll own the full customer storytelling motion end-to-end: sourcing the right customers, running the interviews, producing the case studies, videos, and talks, and turning those stories into assets that move pipeline, close deals, and shape the narrative around agent engineering. You'll also build the programs that sit underneath the stories - references, advocacy, customer councils, launch participation - so that by the time we need a customer voice for a launch, an analyst briefing, or an enterprise deal, we already have the right relationships in place.
This is a builder role. We have remarkable customer logos and real production stories to tell, but the customer marketing function itself is early. You'll help define what it looks like at LangChain.
What you'll do:
  • Own the customer story pipeline end-to-end. Source customers, run the interviews, draft the narrative, and ship in multiple formats, including written case studies, videos, executive spotlights, conference talks, and podcasts.
  • Build the reference and advocacy programs. You'll equip sales with a relevant reference for any deal, and our best customers with a clear path to speak, write, and represent LangChain in the market.
  • Get customers into our biggest moments. Product launches, events, analyst briefings, keynote stages, and press moments. You'll work with PMM to identify which customers belong in which moments, and you'll handle activation end-to-end.
  • Turn customer stories into pipeline. Partner with sales to use customer stories where they can move deals, including talk tracks, account-specific reference matches, customer-led webinars, and proof points that help technical champions sell internally.
  • Partner with field and community marketing to develop customer events and programs that build community. Founder dinners, customer roundtables, executive meetups, and hands-on workshops with our most engaged builders.
  • Build the voice-of-customer feedback loop. Synthesize what you hear in customer conversations into clear input for product, PMM, and comms. You'll be one of the people in the company who hears the most directly from the people building on us.
  • Measure what matters. Customer-influenced pipeline, references delivered, stories produced, advocacy participation. Build the muscle for measuring this from the start.
What you'll bring:
  • You have 4-6+ years in customer marketing, product marketing, or customer-led content marketing, with a track record of owning the customer story motion end-to-end.
  • You've built reference, advocacy, or customer-champion programs from scratch, or rebuilt one that wasn't working. You can point to programs that are still running and references that sales actually uses.
  • You're a strong writer. You can take a one-hour interview with a senior engineer and turn it into a story that a technical buyer wants to read and an executive wants to forward.
  • You're comfortable with technical customers. Our customers are engineers and AI/ML teams building agents in production. You can follow a conversation about agent architectures, evals, or deployment patterns, ask good questions, and translate what you hear for both technical and executive audiences.
  • You ship. You'd rather get a strong story out the door this week and iterate than spend a month on the perfect case study. You have a bias toward volume and momentum without losing the bar on quality.
  • You're a good partner across functions. Customer marketing only works if sales, PMM, comms, product, and CS all want to work with you. You bring people along.
  • You have a genuine curiosity about what customers are building with agents. The best customer marketing in this space comes from people who actually find the work interesting.
  • You use AI tools in your own workflow and you're always looking for new ways to increase your effectiveness with them.
Nice to have:
  • Experience marketing developer tools, AI/ML infrastructure, or other technical platforms where the customer is an engineer or technical leader.
  • Experience with launch motions, including early access programs, beta cohorts, and getting the right customers into the right launch moments.
  • Comfort with multi-format production: video shoots, podcast prep, conference talk coaching, executive spotlights.
  • Familiarity with the LLM/agent developer ecosystem.
  • Experience working with both startup and enterprise customer segments, and an instinct for how to tell a story that resonates with each.
Why join:
  • Our customers are shipping transformational agents to production at leading startups and enterprises. You'll get to tell stories about people and agents that are changing industries.
  • Your work will directly impact the business. Customer stories drive deals, references close them, and advocacy builds company brand. This is a role where the impact is visible and measurable.
  • Agents are where software is heading. LangChain is at the center of that, and you'll shape how the story gets told to the teams building them.
  • Real scope on a growing team. You're joining a small team that's scaling fast. You'll help build the playbook for customer marketing here.
  • You'll join a team that ships. We move fast, hold the bar high, and don't wait for layers of approval.
Compensation
  • Location: San Francisco, CA (strong preference)
  • Annual salary: $160,000 - 180,000 + equity

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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