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LangChain
LangChain

Framework for LLM applications

Head of Tech Recruiting

职能招聘
级别Lead级
地点San Francisco, Canada, United States
方式现场办公
类型全职
发布3个月前

薪酬

$180,000 - $215,000

立即申请

福利待遇

医疗保险

育儿假

Learning Budget

必备技能

React

PostgreSQL

TypeScript

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

Lang Chain is at the forefront of the AI industry, and our ability to scale is directly tied to the caliber of technical talent we bring into the fold. We are looking for a Head of Technical Recruiting who is a world-class practitioner and a strategic leader. Our technical recruiting team is composed of industry veterans with 15+ years of experience; we need a leader who can earn the respect of this elite group while navigating a high-stakes, high-velocity environment.

In this role, you will be a player-coach in the truest sense—directly carrying a req load of high-priority technical roles while simultaneously architecting the strategy to scale our engineering, and product organizations for our next phase of growth.

Location/City:

San Francisco, CA; New York, NY; Boston, MA

Responsibilities:

  • Lead an Elite Veteran Team: Manage a high-performing team of senior technical recruiters. You will drive excellence through shared standards, technical calibration, and removing systemic friction, allowing your team to do their best work.

  • Full-Cycle Execution: Maintain a "hands-on" approach by personally carrying and closing a load of technical reqs. You lead by example, demonstrating how to navigate a hyper-competitive talent market to land top-tier engineers and AI researchers.

  • Strategic Founder & Stakeholder Partnership: Act as an advisor to our technical founders and leaders. You will navigate brilliant stakeholders, help define role requirements in emerging AI spaces, and influence hiring approaches and decisions through deep market intelligence.

  • High-Velocity Diagnosis: Monitor the health of our technical hiring machine. You will proactively identify bottlenecks in the funnel and implement rapid pivots to maintain momentum in a competitive landscape.

  • AI & Technical Savvy: Stay at the cutting edge of the AI landscape. You understand the nuances of the talent market—from applied AI and infrastructure to product management and open source—and can speak credibly with the world’s most sought-after technical talent.

  • Operational Rigor: Partner with Talent Ops to ensure a seamless, data-driven hiring process. You will lead technical business reviews, providing clarity on pipeline health and ensuring the Lang Chain talent bar remains uncompromising as we scale.

Requirements:

  • 15+ years of technical recruiting experience, with at least5+ years in leadership or management roles within elite, high-growth AI or infrastructure-focused startups.

  • Technical Depth: You have a genuine obsession with the AI space. You understand the difference between high-level architectural roles and applied AI positions and can vet talent accordingly.

  • Stakeholder Mastery: Proven experience partnering with founders who have an exceptionally high bar. You are a truth-teller who can push back, pivot strategies, and deliver results under pressure.

  • Master Closer: You have a track record of winning talent away from the world’s top labs and tech giants. You understand the nuances of equity, mission, and technical impact in a candidate's decision-making process.

  • Player-Coach Mentality: You get energy from both building a team and being "in the hunt." You are execution-oriented and thrive in high-velocity environments.

  • Data-First Leadership: You use metrics to diagnose problems and forecast needs, ensuring that "gut feel" is always backed by operational data.

Compensation & Benefits

  • We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.

  • Annual salary range: $180,000 - $215,000

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关于LangChain

LangChain

LangChain

Series B

A 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

10条评价

3.8

10条评价

工作生活平衡

4.0

薪酬

2.5

企业文化

3.5

职业发展

2.8

管理层

3.2

65%

推荐率

优点

Good work-life balance and flexibility

Supportive team and great colleagues

Learning and growth opportunities

缺点

Below industry standard compensation

Limited career progression opportunities

Management issues and approachability

薪资范围

13个数据点

Mid/L4

Senior/L5

Mid/L4 · Product Designer

1份报告

$186,195

年薪总额

基本工资

$155,147

股票

-

奖金

-

$186,195

$186,195

面试评价

10条评价

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