채용
Compensation
$175,000 - $225,000
Benefits & Perks
•Development budget
•Competitive salary and bonus
•Flexible PTO
•Remote options
•Stock options
•Creative environment
•Equity
Required Skills
Hootsuite
SEMrush
Salesforce
About Lang Chain:
At Lang Chain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.
Our open source frameworks, Lang Chain and Lang Graph, see over 90+ million downloads per month and help developers build agents with speed and granular control. Lang Smith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.
Lang Chain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.
About the role:
Lang Chain is hiring a Senior Fullstack Engineer to build the foundational product features and integrations that power user acquisition, rapid experimentation, and self-serve expansion. This is a high-impact 0→1 role on a newly formed team responsible for building growth systems from the ground up. You’ll work closely with product, design, GTM, and analytics to streamline activation, optimize packaging, and deliver a seamless growth story for developers and enterprise customers alike. This role will be in person 5 days/week in New York City, San Francisco, or Boston.
What you will do:
- Work across our stack (React, TypeScript, Python, Go) to deliver full-stack product features that drive growth and retention
- Build flexible experimentation systems and processes capable of targeting diverse growth metrics
- Participate in data-driven, rapid growth experiments across the user funnel from onboarding to monetization
- Design and ship new onboarding features and improvements that accelerate time to value
- Build growth levers including usage-based guardrails, smart upgrade triggers, and contextual CTAs
- Collaborate closely with product, design, GTM, and analytics teams to identify, prioritize, and execute high-impact growth opportunities
How to be successful in this role:
- Extensive fullstack software development experience using React, TypeScript, and Go and/or Python
- Strong product intuition and a track record of working on monetization, pricing, or activation features
- Familiarity with usage metering, subscriptions, and internal tooling for pricing experiments
- Comfortable working with REST APIs, Postgres, Redis, and modern backend infra
- Startup DNA with the ability to thrive in fast-paced, zero-to-one environments
- Self-directed with an ownership mindset
- Bonus: Experience building for developers or product-led growth platforms
- Bonus: Familiarity with LLMs, GenAI applications, or agentic frameworks
Compensation: 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.
Salary Range: $175,000-$225,000 USD
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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