채용
복지 및 혜택
•Healthcare
•401(k)
•Equity
•Flexible Hours
필수 스킬
Program Management
Systems Design
Data Analysis
Documentation
Technical Architecture
Change Management
ABOUT US
At Lang Chain, 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, Lang Chain, Lang Graph, Lang Smith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust Lang Chain 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’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. Lang Chain is a place where your contributions can shape how this technology shows up in the real world.
ABOUT THE ROLE:
As we scale for our next phase of growth, we need to move from manual processes to a high-performance "People Product." We are looking for a People Systems & Program Manager to be the primary architect and builder of Lang Chain’s internal People infrastructure.
In this role, you will design and implement the scalable systems that allow us to grow while maintaining our bar. You will lead the development of our global compensation frameworks, career leveling, performance cycles, and AI-native operations. This is a high-impact, "builder" role for someone who thrives on turning chaos into documented, automated, and world-class programs.
LOCATION/CITY:
San Francisco, CA; New York, NY
RESPONSIBILITIES:
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Build & Implement Programs: Drive the end-to-end development and rollout of core people programs, including our first comprehensive compensation bands, career ladders/competency frameworks, performance review cycles, and onboarding and manager enablement in partnership with the People team and the business.
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Architect the Tech Stack: Design and implement a unified, AI-first People tech strategy. You will move us away from fragmented systems into a cohesive "Source of Truth" that supports our global, hybrid workforce.
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Innovation & Automation: Proactively identify toil in our people processes and solve it with automation. You will ensure our onboarding, data management, and reporting are smarter and more efficient than a traditional HR setup.
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Operational Documentation: Turn tribal knowledge into institutional power. You will own the People playbook, ensuring every workflow is documented, transparent, and scalable.
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Program Management: Lead the project lifecycle and change management across cross-functional stakeholders, ensuring we deliver on time and with high internal clarity.
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Data Engineering: Build and maintain the dashboards that track organizational health, ensuring leadership has real-time visibility and insights on key People metrics.
REQUIREMENTS:
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7+ years of experience: You have been a key builder in a high-growth tech environment, specifically scaling systems through the 500 and 1,000 employee mark.
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The "Architect" DNA: You enjoy the "how" and solving difficult problems. You are an expert at mapping complex workflows, auditing tech stacks, and building frameworks from scratch. You love data, measuring impact, and leveraging insights to design future improvements.
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Technical & AI Aptitude: You have examples of leveraging AI-native tools and building with agents to solve traditional HR problems. You are a curious learner excited about future-of-work thinking and AI-enabled people systems.
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Strong Documentation & Program Management Skills: You believe that if it isn't documented, it doesn't exist. You write clear, logical, and persuasive program overviews. You can move from strategy to execution, manage complex cross-functional programs, and deliver on time with high quality.
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Execution Machine: You have a bias for action. You don't just design the strategy; you also roll up your sleeves, partner seamlessly with cross-functional stakeholders, and ensure programs are successfully implemented and adopted.
COMPENSATION & BENEFITS:
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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.
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Annual salary range: $150,000 - $215,000
총 조회수
0
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
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LangChain 소개

LangChain
Series BA platform that provides open-source frameworks and tools for engineering and deploying language model agents.
51-200
직원 수
San Francisco
본사 위치
$200M
기업 가치
리뷰
3.4
3개 리뷰
워라밸
2.5
보상
3.0
문화
2.8
커리어
3.2
경영진
2.3
35%
친구에게 추천
장점
Working with cutting-edge AI technologies like LangChain and RAG
Hands-on experience building end-to-end AI projects
Exposure to modern applied AI development
단점
Uncertainty about long-term career prospects and employability
Projects rarely make it to production use
Lack of senior developer mentorship and guidance
연봉 정보
13개 데이터
Mid/L4
Senior/L5
Mid/L4 · Product Manager
1개 리포트
$192,050
총 연봉
기본급
$167,000
주식
-
보너스
-
$192,050
$192,050
면접 경험
10개 면접
난이도
2.7
/ 5
소요 기간
14-28주
합격률
60%
경험
긍정 50%
보통 40%
부정 10%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Assessment/Take-home
4
Technical Interview
5
Virtual Onsite/Final Round
6
Offer
자주 나오는 질문
System Design
Machine Learning/AI Knowledge
Coding/Algorithm
Technical Architecture
Behavioral/STAR
뉴스 & 버즈
LangChain, Langflow, LiteLLM: When AI’s Foundation Code Becomes the Attack Surface - Security Boulevard
Security Boulevard
News
·
1w ago
DataCamp and LangChain Partner to Launch AI Engineering Learning Track - Business Wire
Business Wire
News
·
3w ago
Finally made it ugghhhh
https://preview.redd.it/61yq8yyinnrg1.png?width=462&format=png&auto=webp&s=1f821e417ef14ac8d60ecd0714297886a81586fa Hey I am 3rd year CS undergrad from Lower NIT, I started out my journey seriously in 2nd year by learning MERN nd stuff did an internship at the end of 4th sem (which was unpaind and work from home). During summer vacation I realised this web dev stuff is not for me and switched to learning ML nd boy I loved this domain (maybe since I sucked at web dev i was under pres
·
3w ago
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19
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23
LangChain Releases Comprehensive Agent Evaluation Checklist for AI Developers - mexc.com
mexc.com
News
·
3w ago