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Benefits & Perks
•Wellness programs
•Flexible work
•Development budget
•Generous PTO
•Gym
•Unlimited Pto
Required Skills
Workday
Greenhouse
ADP
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
Our talent team is growing and we are looking for an experienced full life cycle Technical Recruiter to support Lang Chain through its next phase of hyper growth. In this role, you will immediately dive into recruiting high priority technical roles including applied AI, product backend and infrastructure engineering etc.
You will be a key partner to engineering leadership and founders, owning searches end to end while helping define and scale our technical hiring approach. Strong emphasis on sourcing closing top tier technical talent in a highly competitive market.
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Own and drive the full cycle recruiting process for technical roles, from strategic sourcing through offer negotiation and closing.
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Partner closely and effectively with hiring managers, engineering leaders, and founders to deeply understand role requirements and maintain strong alignment throughout the hiring process.
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Develop and execute thoughtful sourcing strategies to attract senior level and highly specialized technical talent, leveraging outbound sourcing, talent mapping, referrals, and warm networks.
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Effectively engage, screen, and close top tier technical candidates, while maintaining a high bar and an outstanding candidate experience.
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Provide high touch candidate experience and relationship management, particularly with senior and passive technical candidates
How to be successful in this role
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5+ years of full cycle recruiting experience, with a strong focus on technical roles such as software engineering, applied AI, infrastructure, or related disciplines, ideally in high growth or mid stage startup environments.
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Strong technical curiosity and the ability to understand and speak credibly about complex technical roles, teams, and problem spaces.
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Ability to craft compelling value propositions for technical candidates, including those evaluating multiple competitive opportunities.
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A collaborative and effective communicator who builds trust with hiring managers, candidates, and cross functional partners.
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Proven track record of high velocity recruiting for hard to fill technical roles in fast paced environments.
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Highly execution oriented, with excellent organization, prioritization, and closing skills.
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: $140,000 - $175,000
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About LangChain

LangChain
Series BA platform that provides open-source frameworks and tools for engineering and deploying language model agents.
51-200
Employees
San Francisco
Headquarters
$200M
Valuation
Reviews
3.4
3 reviews
Work Life Balance
2.5
Compensation
3.0
Culture
2.8
Career
3.2
Management
2.3
35%
Recommend to a Friend
Pros
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
Cons
Uncertainty about long-term career prospects and employability
Projects rarely make it to production use
Lack of senior developer mentorship and guidance
Salary Ranges
9 data points
Mid/L4
Mid/L4 · Product Designer
1 reports
$178,619
total / year
Base
$155,147
Stock
-
Bonus
-
$178,619
$178,619
Interview Experience
10 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
60%
Experience
Positive 50%
Neutral 40%
Negative 10%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Assessment/Take-home
4
Technical Interview
5
Virtual Onsite/Final Round
6
Offer
Common Questions
System Design
Machine Learning/AI Knowledge
Coding/Algorithm
Technical Architecture
Behavioral/STAR
News & Buzz
LangChain: $125 Million Raised To Advance Agent Engineering Platform - Pulse 2.0
Source: Pulse 2.0
News
·
19w ago
LangChain Raises $125M in Series B, Hits $1.25B Unicorn Valuation - WebProNews
Source: WebProNews
News
·
19w ago
Sequoia backs AI agent tools LangChain at $1.3b valuation - Tech in Asia
Source: Tech in Asia
News
·
19w ago
LangChain becomes unicorn with $1.25B valuation in Series B - The Tech Buzz
Source: The Tech Buzz
News
·
19w ago


