Jobs
Benefits & Perks
•Competitive salary and bonus
•Creative environment
•Stock options
•Health benefits
•Equity
•Healthcare
Required Skills
Google Analytics
Salesforce
Hootsuite
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.
What you will do:
- Own technical product narratives for Lang Smith, with a focus on Observability and Evaluation
- Explain how teams build, evaluate, and operate agents in production through clear, credible technical storytelling
- Write technical blog posts, author tutorials, and build demos on observability, evaluation, and agent best practices
- Create long-form video tutorials and short-form demo content that shows the product in action, starring you!
- Contribute evergreen technical content for education and SEO when needed
- Create product and customer-facing content used across launches, campaigns, and events
- Partner closely with Product and Engineering to trial features and validate technical messaging
- Help improve PM ↔ PMM handoffs and launch workflows
- Enable sales with competitive analysis, technical deep dives, and clear objection handling
What we're looking for:
- 6–10+ years of experience in product marketing, technical marketing, or developer marketing
- Experience working on highly technical products, ideally developer tools, infrastructure, or observability platforms
- Experience marketing to engineering and technical product teams
- Ability to code and reason about agentic production systems, including observability and evaluation workflows
- Strong understanding of APIs, SDKs, and technical architectures, with the ability to explain them clearly
- Background as an engineer, formal engineering education, or equivalent hands-on experience
- Strong written and verbal communicator, including experience creating technical content and leading demos or presentations
- Ability to translate complex technical ideas into clear, credible narratives for technical audiences
- Engaging on screen and on-stage storyteller
- Proven ability to partner closely with Product, Engineering, Sales, and Marketing
- Comfort operating in a fast-moving, high-context environment with a bias toward shipping and iteration
Compensation & Benefits:
- 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.
- Annual salary range: $200,000-$240,000
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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