招聘
福利待遇
•Flexible Hours
•Learning
•Healthcare
•Equity
•Parental Leave
必备技能
TypeScript
React
Python
DIRECTOR, DEPLOYED ENGINEERING - CENTRAL
We’re looking for a leader to build and scale our deployed engineering organization across the Central US region.
ABOUT LANGCHAIN
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.
THE ROLE:
- As our Director, Deployed Engineering
- Central, you will build and lead the team of deployed engineers working across the region.
This team works alongside our sales team to help our prospects and customers build reliable, scalable agents for this business, using our suite of products — Lang Chain, Lang Graph and Lang Smith. The team focuses on pre-sales efforts, but stays on accounts to not only close new business but to also make our customers wildly successful.
You will build and lead a team of deployed engineers who establish Lang Chain’s technical and strategic credibility with our most important customers. This organization plays a central role in helping enterprises understand why Lang Smith is the best platform for evaling, deploying, and observing agents — and why we are the best long-term partner to work with.
You will report to the Global Head of Deployed Engineering, and operate as a peer to the regional sales leader, with shared ownership of outcomes.
This role is equal parts organizational leadership, customer engagement, and revenue accountability. You will define how deployed engineering operates in our East region, build a high-performing regional team, and ensure tight alignment between technical excellence and commercial success.
As a member of the global deployed engineering leadership team, you will also be a core contributor to shared strategy, helping define the playbooks, processes, and standards used across regions.
WHAT YOU’LL DO:
-
Build and scale the deployed engineering team, owning hiring, onboarding, coaching, and performance management as the team grows rapidly.
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Achieve the technical win, driving urgency and focus with our customers, in order to rapidly advance our opportunities across the region.
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Partner with Lang Chain’s regional sales leader, with shared accountability for revenue outcomes and customer success.
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Lead technical strategy on our most strategic enterprise opportunities, engaging directly with senior technical and business stakeholders to shape evaluations, architecture, and solution design.
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Differentiate Lang Chain in competitive environments, clearly articulating our technical advantages, product vision, and unique expertise in building and deploying agents in production.
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Set and uphold the technical bar for deployed engineering, staying close to the product and modeling what excellent customer-facing engineering looks like.
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Co-create global playbooks and operating practices, contributing regional insights while maintaining strong global consistency.
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Develop future leaders, building a strong bench of deployed engineers and managers.
WHAT WE’RE LOOKING FOR:
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10 years of experience in sales engineering, solutions architecture, engineering, or similar customer-facing technical roles at a dev tools, AI, or infrastructure company.
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Proven experience leading and scaling technical GTM teams.
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Deep technical expertise — you’re not a stranger to Python, and are well-versed in software engineering, platform engineering, and solutions architecture disciplines.
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Experience working with or selling to developers and engineering-led buyers.
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Strong track record of leading complex enterprise technical engagements and building trust with senior stakeholders.
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Exceptional communication and technical storytelling skills, with the ability to simplify complex concepts and influence executive audiences.
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A bias for action, comfort with ambiguity, and a consistently high bar for excellence.
BONUS IF YOU HAVE:
-
Familiarity with genAI, agents, observability, or open source software
-
Experience as an early member of a startup GTM organization
WHY JOIN US:
-
You’ll play a defining role in shaping how agents are built and deployed across our customer base, while also helping define how deployed engineering operates globally at Lang Chain. This is a rare opportunity to build a regional organization from the ground up, and have outsized impact at a company shaping the future of AI-powered software.
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Annual salary range: $270k - $340k
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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
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