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Commercial Counsel

LangChain

Commercial Counsel

LangChain

New York, NY

·

On-site

·

Full-time

·

1w ago

Compensation

$220,000 - $260,000

Benefits & Perks

Healthcare

401(k)

Equity

Flexible Hours

Life Insurance

Healthcare

401k

Equity

Flexible Hours

Required Skills

Commercial contract negotiation

Legal drafting

SaaS agreements

Data privacy law

Intellectual property law

ABOUT US:

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 builds infrastructure that powers AI-native applications. Our open-source framework and commercial products enable developers and enterprises to build, deploy, and scale applications with large language models.

We are seeking a business-minded Commercial Counsel with experience drafting, redlining, and negotiating sales agreements with sophisticated global and domestic organizations. This role will serve as a key legal partner to our Go-To-Market organization and cross-functional stakeholders across the company, helping to accelerate revenue while thoughtfully managing risk.

This is a full-time, hybrid position based in our New York City office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including designated in-office days each week to connect and build as a team.

WHAT YOU’LL DO:

  • Support Lang Chain’s Sales and Partnerships teams by drafting, reviewing, and redlining customer-facing commercial agreements, including MSAs, order forms, DPAs, security addenda, and related amendments

  • Negotiate directly with customer and partner counsel to drive agreements to execution

  • Partner closely with Sales, Rev Ops, Finance, Security, and Product to facilitate efficient deal execution while balancing legal and business risk

  • Advise on contractual issues related to data protection, privacy, security, intellectual property, AI/LLM usage, liability, and compliance in a SaaS environment

  • Provide practical, business-focused legal guidance to help close deals while maintaining scalable contracting processes

  • Contribute to the development and continuous improvement of contract templates, playbooks, fallback positions, and negotiation guidelines

  • Support cross-functional initiatives related to product launches, pricing strategy, new go-to-market motions, and customer lifecycle matters

  • Identify trends in customer redlines and help evolve standard commercial positions to support scale

WHAT YOU’LL BRING:

  • 7–12+ years’ experience negotiating and drafting commercial sales agreements, including in-house experience at a SaaS, infrastructure, or technology company and/or a law firm

  • Strong experience negotiating SaaS, cloud, or technology agreements in support of direct enterprise sales teams

  • Demonstrated experience redlining complex agreements at scale

  • Working knowledge of data privacy, security, intellectual property, and technology contracting issues in a B2B SaaS context

  • Comfort advising on emerging AI-related contractual issues (e.g., model outputs, data use, acceptable use restrictions, indemnities)

  • Ability to balance legal risk with business objectives in a fast-paced, high-growth environment

  • Strong communication skills and comfort advising non-legal stakeholders

  • Highly organized, responsive, and able to manage multiple priorities simultaneously

  • High attention to detail with strong ownership and drive

  • Admitted to practice law in the applicable jurisdiction (New York preferred or ability to register as in-house counsel in NY)

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: $220,000 - $260,000 USD

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About LangChain

LangChain

LangChain

Series B

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

51-200

Employees

San Francisco

Headquarters

$200M

Valuation

Reviews

3.4

3 reviews

Work Life Balance

2.5

Compensation

3.0

Culture

2.8

Career

3.2

Management

2.3

35%

Recommend to a Friend

Pros

Working with cutting-edge AI technologies like LangChain and RAG

Hands-on experience building end-to-end AI projects

Exposure to modern applied AI development

Cons

Uncertainty about long-term career prospects and employability

Projects rarely make it to production use

Lack of senior developer mentorship and guidance

Salary Ranges

9 data points

Mid/L4

Mid/L4 · Product Designer

1 reports

$178,619

total / year

Base

$155,147

Stock

-

Bonus

-

$178,619

$178,619

Interview Experience

10 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

60%

Experience

Positive 50%

Neutral 40%

Negative 10%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Assessment/Take-home

4

Technical Interview

5

Virtual Onsite/Final Round

6

Offer

Common Questions

System Design

Machine Learning/AI Knowledge

Coding/Algorithm

Technical Architecture

Behavioral/STAR