招聘
福利待遇
•Learning
•Parental Leave
•Healthcare
•Equity
必备技能
PostgreSQL
Node.js
React
About Lang Chain:
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.
Background
We’re hiring a results-driven Commercial Account Manager to own and accelerate the adoption, retention and growth of our customers. As a critical member of our post-sale team, you will be the primary commercial point of contact for a key segment of our customers. You will act as a trusted commercial advisor, focused on building lasting partnerships, ensuring customers realize the full value of Lang Chain, and driving usage, renewal and expansion of their investment. Your success will be directly measured by your impact on customer retention and net revenue retention.
Key Responsibilities
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Manage the entire customer lifecycle post signature for a portfolio of commercial customers, from adoption to contract execution, ensuring high retention rates.
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Develop and maintain a rolling forecast of your portfolio and consistently meet or exceed quarterly and annual renewal and net retention targets.
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Proactively identify and mitigate churn risk by understanding customer health, monitoring product usage, and addressing commercial obstacles.
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Uncover and execute on expansion opportunities by understanding customer needs, aligning them with new features and products, and articulating the incremental value.
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Build and nurture lasting relationships with key stakeholders, from technical users to economic buyers.
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Act as the voice of the customer, synthesizing feedback on value, product gaps, and business outcomes to inform the product roadmap and collaborate with Product and Engineering teams.
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Partner closely with Sales, GTM Engineering, and Rev Ops teams to present a unified post-sale experience and ensure a seamless customer journey.
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Lead commercial negotiations, structure renewal contracts, and manage quoting and procurement processes to ensure favorable terms for both the customer and Lang Chain.
What We're Looking For
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5+ years of experience in a quota-carrying, customer-facing role such as Account Management, Customer Success, or Renewals Manager, preferably within B2B SaaS.
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A proven track record of success in meeting and exceeding retention and expansion quotas (e.g., Gross Renewal Rate, Net Revenue Retention).
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Strong commercial acumen and negotiation skills, with experience managing complex, multi-stakeholder renewal cycles.
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Strong technical aptitude and the ability to understand and articulate the value of complex technical products. Familiarity with the modern AI/LLM stack is a significant plus.
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Exceptional communication and presentation skills, with the ability to build rapport and convey value to diverse audiences, from technical users to executive decision-makers.
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A deep empathy for the customer's business objectives and a passion for helping them achieve their goals through our platform.
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Proficiency with CRM software (e.g., Salesforce) for pipeline management and forecasting.
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Ability to operate independently with a high degree of autonomy in a fast-paced, ambiguous environment.
(Preferred)
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Direct experience at a high-growth, developer-first, or AI/ML infrastructure company.
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Experience managing renewals in a consumption or usage-based pricing model.
Location: US East.
Preferably New York:
Compensation:
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We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. 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.
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$150K-$200K On-Target Earnings
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关于LangChain

LangChain
Series BA platform that provides open-source frameworks and tools for engineering and deploying language model agents.
51-200
员工数
San Francisco
总部位置
$200M
企业估值
评价
3.4
3条评价
工作生活平衡
2.5
薪酬
3.0
企业文化
2.8
职业发展
3.2
管理层
2.3
35%
推荐给朋友
优点
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
缺点
Uncertainty about long-term career prospects and employability
Projects rarely make it to production use
Lack of senior developer mentorship and guidance
薪资范围
13个数据点
Mid/L4
Senior/L5
Mid/L4 · Product Designer
1份报告
$178,619
年薪总额
基本工资
$155,147
股票
-
奖金
-
$178,619
$178,619
面试经验
10次面试
难度
2.7
/ 5
时长
14-28周
录用率
60%
体验
正面 50%
中性 40%
负面 10%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Assessment/Take-home
4
Technical Interview
5
Virtual Onsite/Final Round
6
Offer
常见问题
System Design
Machine Learning/AI Knowledge
Coding/Algorithm
Technical Architecture
Behavioral/STAR
新闻动态
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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
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