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LangChain
LangChain

Framework for LLM applications

Commercial Account Executive (UK)

직무영업
경력미들급
위치London, United Kingdom
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About Lang Chain:

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.

About the role:

Location: Hiring in London,UK

We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of Lang Chain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt Lang Chain's solutions.

This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.

WHAT YOU’LL DO:

  • Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through

  • Build relationships with prospects and customers, understanding their needs and how our products can help

  • Prospect strategically into SMB, mid-market, and small-enterprise accounts

How to be successful in this role:

  • 3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)

  • 1+ year of experience in a closing role for SMB, commercial, and mid-market accounts

  • Strong track record of sourcing, qualifying, and closing outbound deals

  • Execution mindset: you excel in fast-paced environments and move with urgency

  • Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.

  • Self-starter and resourceful; you find ways to solve problems and move things forward

Compensation & Benefits:

  • 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.

  • Annual salary range: $175,000-$220,000 USD

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LangChain 소개

LangChain

LangChain

Series B

A platform that provides open-source frameworks and tools for engineering and deploying language model agents.

51-200

직원 수

San Francisco

본사 위치

$200M

기업 가치

리뷰

10개 리뷰

3.8

10개 리뷰

워라밸

4.0

보상

2.5

문화

3.5

커리어

2.8

경영진

3.2

65%

지인 추천률

장점

Good work-life balance and flexibility

Supportive team and great colleagues

Learning and growth opportunities

단점

Below industry standard compensation

Limited career progression opportunities

Management issues and approachability

연봉 정보

13개 데이터

Mid/L4

Senior/L5

Mid/L4 · Product Designer

1개 리포트

$186,195

총 연봉

기본급

$155,147

주식

-

보너스

-

$186,195

$186,195

면접 후기

후기 10개

난이도

2.7

/ 5

소요 기간

14-28주

합격률

60%

경험

긍정 50%

보통 40%

부정 10%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Assessment/Take-home

4

Technical Interview

5

Virtual Onsite/Final Round

6

Offer

자주 나오는 질문

System Design

Machine Learning/AI Knowledge

Coding/Algorithm

Technical Architecture

Behavioral/STAR