AI/ML
DevTools/Cloud
Enterprise SaaS

LangChain

Tools for building AI applications

San Francisco· 37 rolesNew York· 13 rolesLondon· 9 roles

CORE INFO

$125M
Total Funding
Series B
Round
2022
Founded
46
Team Size
San Francisco, California, United States
Headquarters

LangChain provides tools and platforms for building, deploying, and managing applications powered by large language models, catering to companies across various industries such as technology, customer service, and finance.

  • LangChain recently raised $125 million in a Series B funding round led by IVP, valuing the company at $1.25 billion.techcrunch.com
  • Notable clients using LangChain's technology include Uber, LinkedIn, and Cisco.forbes.com
  • LangChain was featured in Forbes' AI 50 list, recognizing it as one of the most promising AI companies.forbes.com

WHY WE WOULD WORK AT LANGCHAIN

Innovative AI Solutions

Join a team at the forefront of AI technology, creating tools like LangChain and LangGraph that empower companies like Uber and Cisco to build intelligent applications.

Rapid Growth Opportunities

Be part of a fast-growing startup valued at $1.25 billion, with significant funding to support your career development and the chance to shape the future of AI.

Cutting-Edge Technology

Work with advanced large language models and contribute to open-source frameworks that are gaining traction with over 118,000 stars on GitHub.

Collaborative Culture

Experience a supportive team environment with just 46 employees, fostering collaboration and innovation in a dynamic San Francisco setting.

Competitive Compensation

Benefit from attractive salary packages and funding success, ensuring LangChain can offer competitive pay and resources for its employees.

Recognized Industry Leader

Join a company featured in Forbes' AI 50 list, highlighting LangChain's impact and promise in the AI development tools sector.

MARKET AND TRACTION

TOTAL ADDRESSABLE MARKET

  • LangChain operates in the rapidly growing AI development tools sector, which is expected to expand significantly as more industries adopt AI technologies.

  • The company serves various industries, including technology, customer service, legal, and finance, indicating a broad market potential for its tools and platforms.
  • NOTABLE CUSTOMERS

  • LangChain's technology is utilized by prominent companies such as Uber, LinkedIn, and Cisco, showcasing its credibility and market acceptance.

  • Other notable clients include GitLab, Replit, Cloudflare, and Workday, reflecting the diverse application of LangChain's offerings across different sectors.
  • KEY METRICS

    ✦ KEY METRIC
  • As of April 2025, LangChain has raised a total of $125 million in funding across multiple rounds, including a recent Series B round that valued the company at $1.25 billion.

  • The company has grown its team to 46 employees, indicating a commitment to scaling its operations and enhancing its product offerings.
  • GROWTH TACTICS

  • LangChain focuses on building open-source frameworks and proprietary platforms, which encourages community engagement and adoption of its tools.

  • The company has strategically partnered with leading investors like Sequoia and IVP to secure funding that supports its growth and product development.
  • MARKET POSITION

  • LangChain has rapidly established itself as a key player in the AI development tools sector since its founding in 2022.

  • The company was recognized in Forbes' AI 50 list in April 2025, highlighting its status among the most promising AI companies.
  • PRODUCT AND TECH

    LangChain Framework

    The LangChain framework is an open-source tool designed for building applications powered by large language models (LLMs). It provides developers with the necessary infrastructure to create and deploy intelligent agents efficiently.

    LangGraph Workflows

    LangGraph is a tool that enables the management of structured, multi-step workflows using graphs. This technology is crucial for orchestrating complex processes in AI applications, enhancing their functionality and performance.

    LangSmith Observability

    LangSmith is an observability and evaluation platform specifically tailored for LLM applications. It allows developers to monitor and assess the performance of their AI agents, ensuring reliability and effectiveness in real-world scenarios.

    AI Agent Engineering

    LangChain focuses on agent engineering, providing the foundational tools for developers to transition from prototypes to production-ready AI agents. This approach is essential for making intelligent agents more ubiquitous across various industries.

    Proprietary Platforms

    In addition to open-source offerings, LangChain develops proprietary platforms that facilitate the deployment and management of AI applications. These platforms are designed to meet the specific needs of enterprise clients, enhancing their operational capabilities.

    COMPANY CULTURE

    Values

  • Innovation is at the core of our mission

  • Commitment to making intelligent agents ubiquitous

  • Collaboration and teamwork drive our success

  • Integrity and transparency in all interactions

  • Passion for AI and its transformative potential
  • Operating Principles

  • Focus on building reliable, production-ready AI applications

  • Embrace open-source collaboration and community engagement

  • Prioritize user feedback to enhance product offerings

  • Foster a culture of continuous improvement and learning
  • Benefits

  • Competitive salary and equity options

  • Flexible work environment to support work-life balance

  • Opportunities for professional development and growth

  • Access to cutting-edge technology and tools
  • Team Cadence

  • Regular team meetings to align on goals and progress

  • Open channels for communication and feedback

  • Agile development practices to adapt quickly to changes

  • Monthly all-hands meetings to celebrate achievements
  • Learning & Growth

  • Encouragement of continuous learning through workshops and courses

  • Support for attending industry conferences and events

  • Mentorship programs to foster skill development

  • Access to resources for personal and professional growth
  • COMPENSATION SNAPSHOT

    B
    Comp score vs cohort
    vs. AI/ML · Series B · US
    Based on publicly available compensation ranges from job postings; exact compensation may vary.
    Engineering IC2n = 3
    $160K – $180Kmedian $170K
    Los Angeles / Bay Area
    Engineering IC3n = 4
    $150K – $203Kmedian $176K
    Los Angeles / Bay Area
    Engineering IC4n = 8
    $175K – $240Kmedian $208K
    BostonLos Angeles / Bay Area
    Sales ICn = 7
    $209K – $287Kmedian $248K
    AggregateLos Angeles / Bay Area
    US-only in v1 · only categories with n > 2 shown · in-person / hybrid / remote treated separately where n ≥ 3

    HIRING SIGNAL

    102
    Open roles on their careers page
    Snapshot via live ATS poll
    —
    Net new roles in the last 90 days
    Available once weekly history accrues
    90-Day VelocityV2 · BACKFILL
    Trend builds weekly as historical rows accrue
    By Function
    Breakdown of open roles
    GTM · 42
    Design · 3
    G&A · 2
    Support · 2
    Marketing · 5
    Operations · 4
    Engineering · 44
    Top Locations
    Where hiring is concentrated
    Remote-eligible postings counted separately
    San Francisco, CA
    37
    New York, NY
    13
    London
    9
    Boston, MA
    6
    Dallas, TX
    4
    Atlanta, GA
    4
    Washington DC
    4
    Chicago, IL
    3
    SourcesGreenhouseLeverAshbyWorkableSmartRecruitersRipplingRecruiteeFallback · Wellfound, YC Work-at-a-Startup, careers-page scrape

    KEY COMPANY ANNOUNCEMENTS

    Filter
    15 announcements · ranked by importance
    Oct 20, 2025FUNDINGLangChain raises $125M to build the platform for agent engineeringlangchain.com
    Feb 15, 2024FOUNDER PROFILEOpen Source AI Software Maker LangChain Launches First Paid Product — With A Massive Waitlistforbes.com
    Apr 4, 2023FUNDINGAnnouncing our $10M seed round led by Benchmarklangchain.com
    Oct 20, 2025ESSAYReflections on Three Years of Building LangChainlangchain.com
    Jan 1, 2025INTERVIEWContext Engineering Our Way to Long-Horizon Agents: LangChain’s Harrison Chase | Sequoia Capitalsequoiacap.com
    Aug 26, 2026PRODUCTAnnouncing LangGraph v0.1 & LangGraph Cloud: Running agents at scale, reliablylangchain.com
    Jul 18, 2023PRODUCTAnnouncing LangSmith, a unified platform for debugging, testing, evaluating, and monitoring your LLM applicationslangchain.com
    Jun 18, 2024INTERVIEWLangChain’s Harrison Chase on Building the Orchestration Layer for AI Agents | Sequoia Capitalsequoiacap.com
    Aug 7, 2026PRODUCTManaged Deep Agents: the fastest way to ship a production deep agentlangchain.com
    Mar 18, 2026PRODUCTLangChain Open SWE: An Open-Source Framework for Internal Coding Agentsblog.langchain.com
    Jul 8, 2026PRODUCTLangChain and NVIDIA Launch NemoClaw Deep Agents Blueprintlangchain.com
    May 18, 2026PRODUCTSmithDB, the data layer for agent observabilitylangchain.com
    Dec 25, 2025CONTROVERSYCritical vulnerability in LangChain – CVE-2025-68664cyata.ai
    Aug 4, 2026CUSTOMER WINHow Stripe Built Kai on Deep Agents in 1 Weeklangchain.com
    Sep 17, 2026PRODUCTBuilding an Agent Harness for Life Sciences: Introducing Deep Life Scilangchain.com