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LangChain

Activation Specialist (London)

LangChain is hiring an Activation Specialist (London) (United Kingdom). Level rates it ; you can apply on LangChain.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include LangGraph, Clay and AI agents.
  • Level classifies it as a mid-level role.
  • Level lists 100 other open roles at LangChain.
  • The role was posted in the last few days.

AI in this role

LangGraphClay
ai-agents
About Us

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.

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.

Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.

About the Team

The Customer Experience team helps customers adopt LangSmith and turn early momentum into lasting product usage. The team partners closely with GTM, Product, Engineering, and LangChain specialists to guide customers through onboarding, production readiness, and the practices required to build reliable AI applications.

About the Role

We’re looking for an Activation Specialist to join the Customer Experience team. In this role, you’ll work with new customers during their first weeks on LangSmith, helping them move from signed contract to a working platform that is ready for agents in production. You’ll focus on activation milestones such as admin setup, user onboarding, traces flowing, evaluations in place, and customer teams feeling confident enough to keep building independently.

What You’ll Do

  • Own customer onboarding from kickoff through early activation milestones, including admin setup, SDK integration, first traced run, first evaluation, and LangGraph deployment.

  • Guide customers through core LangSmith setup and production readiness topics, including security, org design, workload isolation, and integration questions.

  • Partner with GTM teams, Product, Engineering, and LangChain specialists to unblock customers and coordinate support when deeper expertise is needed.

  • Help customers build their first evaluation workflows, define what “good” looks like, and confirm they can debug a production trace independently.

  • Route customers to the right resources and turn recurring onboarding questions into runbooks, documentation, and repeatable processes.

  • Surface customer friction to Product and Engineering early and track activation metrics such as time to first trace, first evaluation, and production run.

What You’ll Bring

  • 2–4 years of experience in a customer-facing role such as support, customer success, account management, onboarding, or a similar function.

  • A strong desire to work directly with customers and build productive, trusted relationships.

  • Excellent organization and follow-through, with a track record of keeping customers and internal partners aligned.

  • A proactive, industrious approach to learning new tools, solving problems, and rolling up your sleeves.

  • Clear, friendly written and verbal communication skills.

  • Curiosity about technology and AI, plus a willingness to get hands-on and learn technical concepts on the job.

Nice to Have’s

  • Customer onboarding experience at a SaaS company.

  • Familiarity with enterprise readiness concepts such as SSO, SCIM, ABAC, and workload isolation.

  • Exposure to developer tools, observability, evaluations, or AI/LLM workflows.

  • Familiarity with analytics, BI tools or SQL.

Compensation Philosophy:

We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.

We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.

Benefits

Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

How we rate this

Activation Specialist (London) at LangChain rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsLangGraphClay

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Walk me through how you've used LangGraph in your day-to-day work.
  3. What are the limits of Clay that you've run into, and how did you work around them?
  4. Describe a typical day in a role like this one: which parts run through AI directly?
  5. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: AI agents, LangGraph, and Clay. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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