RefolkCandidates

Activation Specialist, San Francisco

LangChain · San Francisco, CA

Location
San Francisco, CA
Employment
Full time
Posted
Today
EngineeringCustomer EngineeringCustomer Engineering

About this role

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.

Compensation Philosophy:

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

Benefits

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

As published by LangChain. Applications are handled on their site.

About LangChain

Making it easy to develop LLM applications from prototyping to production

All 108 openings at LangChain

One click, then it is written

Apply to this role, tailored

Queue Activation Specialist, San Francisco at LangChain and I will read the posting, rewrite your resume against it, draft the cover letter, and score the fit before you send anything.

Each one finishes ready to go. Send it yourself, or press one button and I fill in the employer’s form for you. New accounts start with 500 free credits, no card.

More roles at LangChain

See all

Similar roles elsewhere

See more

Put this to work

Reading about the job search is not the job search.

Paste your career in once. I write the resume, then every week I rank the live openings against your history, tailor a resume and a cover letter to the best of them, fill in the forms if you ask me to, and keep going until you land. Your part is deciding what goes out.

  • 140+ curated roles a week, found, written, and scored for you.
  • Every bullet stays inside what your history actually supports.
  • Queued, submitted, interviewing, offer, all in one place instead of a spreadsheet.

500 free credits on sign-up. No card.

Listed from the job board LangChain publishes. Refolk is not the employer and does not handle their hiring. Applications go to LangChain directly.