Jobs
ABOUT LANGCHAIN
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:
We’re hiring a Sales Development Manager to lead and scale our founding SDR team at Lang Chain.
Our SDRs play a critical role in helping companies adopt Lang Chain and Lang Smith. They engage technical buyers, convert high inbound interest into qualified opportunities, and work closely with our sales and marketing teams to build pipeline.
This role will own the performance, coaching, and development of the SDR team, while helping design the systems, processes, and workflows that power their GTM motion. You’ll partner closely with sales, marketing, and and Rev Ops to continuously improve how we identify and engage the right accounts.
WHAT YOU WILL DO:
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Lead and coach a team of SDRs responsible for generating qualified pipeline
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Own SDR performance including activity metrics, conversion rates, pipeline creation, and attainment
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Recruit top SDR talent and grow the team as Lang Chain continues to scale
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Develop SDR talent through coaching, call reviews, and structured feedback
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Build repeatable outbound and inbound qualification playbooks
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Partner with marketing to convert inbound demand into qualified opportunities
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Work with sales leadership and Rev Ops to align on target accounts, territories, and pipeline goals
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Implement systems and workflows that improve SDR productivity and effectiveness
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Use data to continuously improve performance, analyzing conversion rates across the funnel
HOW TO BE SUCCESSFUL IN THIS ROLE:
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Have 5+ years of experience in sales development
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Have 1–3+ years managing SDRs or leading a sales development team
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Are comfortable working with technical products and developer audiences
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Have experience with modern GTM tooling (AI Agents, LinkedIn Sales Nav, Power Dialers, etc.)
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Are highly data-driven and comfortable managing performance through metrics
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Are passionate about coaching and developing early-career sales talent
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Thrive in fast-moving environments where processes are still evolving
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Have strong communication and organizational skills
COMPENSATION & BENEFITS:
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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.
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Annual salary range: $200,000 - $250,000 On Target Earnings + Equity
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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
13 data points
Mid/L4
Senior/L5
Mid/L4 · Product Designer
1 reports
$178,619
total per 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
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