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- Tasks: Guide new customers through onboarding and deliver interactive training workshops.
- Company: Join LangChain, a leader in AI technology with a collaborative culture.
- Benefits: Competitive salary, equity, flexible vacation, and comprehensive health coverage.
- Why this job: Make a real impact in the AI space while shaping customer success.
- Qualifications: 5+ years in a technical role, strong Python skills, and a passion for education.
- Other info: Dynamic environment with opportunities for growth and travel.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a Customer Engineer to join our Enterprise Enablement team. In this role, you will serve as a trusted technical advisor to our new customers, blending technical expertise with a passion for education and enablement. You will be instrumental in accelerating developer and enterprise success with the LangChain ecosystem.
You will join a collaborative team environment with a strong engineering culture, with direct impact on customer success and the opportunity to shape best practices while working with cutting-edge AI technology.
At LangChain, 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, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain 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. LangChain is a place where your contributions can shape how this technology shows up in the real world.
What You’ll Do
- Lead onboarding engagements for new enterprise customers, guiding them through initial setup and unblocking issues as they begin building on the LangSmith platform.
- Create and deliver live, interactive training workshops to help customer teams build foundational product knowledge and agent engineering best practices.
- Develop scalable enablement frameworks including technical tutorials, best-practice guides, and reference implementations.
- Act as the voice of the new user, synthesizing feedback and identifying friction points to inform the product roadmap in collaboration with Product and Engineering teams.
- Partner with Sales, Deployed Engineering, and Professional Services to define enablement strategies for prospective customers, demonstrating the value and ease of getting started with LangChain.
- Stay at the forefront of agent engineering in industry to identify evolving trends and quickly incorporate learnings into customer enablement materials.
What We’re Looking For
- 5+ years of experience in a technical, customer-facing role such as Enablement, Customer Success Engineer, Developer Advocate, or similar.
- Proven software engineering experience with 2+ years focused on AI/ML applications or agents, including strong proficiency in Python and a deep, practical understanding of the modern AI/LLM stack.
- Passion for educating users on technical topics and deep empathy for the developer experience.
- Demonstrated ability to create and deliver high-quality technical training programs, including live workshops, written tutorials, documentation, and video guides.
- Exceptional presentation and communication skills, with the ability to explain complex technical concepts to diverse audiences, from individual developers to enterprise stakeholders.
- Capacity to operate independently in a fast-paced, ambiguous environment and manage multiple projects simultaneously.
- Ability and willingness to travel up to 20% of time for customer engagements.
Preferred:
- Hands-on experience building and deploying applications using LangChain, LangGraph, and LangSmith (or similar frameworks).
- Proficiency with TypeScript/JavaScript in addition to Python.
Compensation:
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.
Competitive salary based on location and experience.
Customer Engineer (London) employer: Langchain
Contact Detail:
Langchain Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Engineer (London)
✨Tip Number 1
Network like a pro! Reach out to current employees at LangChain on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Customer Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a case study that demonstrates your technical expertise in AI/ML applications. This will not only showcase your abilities but also give you something tangible to discuss during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your communication skills. Being able to explain complex concepts clearly is key for the Customer Engineer role, so get comfortable with it!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows your enthusiasm for joining the LangChain team directly. Don’t miss out on this opportunity!
We think you need these skills to ace Customer Engineer (London)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Customer Engineer role. Highlight your technical expertise and experience in customer-facing roles, especially in AI/ML applications. We want to see how your skills align with our mission at LangChain!
Showcase Your Passion for Education: Since this role involves educating users, share examples of how you've successfully trained or enabled others in the past. Whether it's workshops, tutorials, or documentation, let us know how you’ve made a difference in the learning journey.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain your experiences and achievements. We appreciate well-structured applications that make it easy for us to see your potential!
Apply Through Our Website: We encourage you to submit your application directly through our website. This way, we can ensure your application gets the attention it deserves. Plus, it’s the best way to stay updated on your application status!
How to prepare for a job interview at Langchain
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in Python and AI/ML applications. Be ready to discuss your experience with the LangChain ecosystem and how you've used it in past roles. This will show that you're not just familiar with the tools but can also apply them effectively.
✨Showcase Your Teaching Skills
Since the role involves educating customers, prepare to demonstrate your ability to explain complex concepts clearly. Think of examples where you've successfully delivered training or workshops, and be ready to share how you made those sessions engaging and informative.
✨Understand Customer Needs
Research common pain points for new users of AI technologies. Be prepared to discuss how you would approach onboarding and support for these customers. Showing empathy for their challenges will highlight your suitability for a customer-facing role.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the team culture, ongoing projects, and how they measure success in this role. This not only shows your interest but also helps you gauge if the company is the right fit for you.