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People Systems & Program Manager

LangChain

People Systems & Program Manager

LangChain

San Francisco, CA

·

On-site

·

Full-time

·

2w ago

Compensation

$150,000 - $215,000

Benefits & Perks

Healthcare

401(k)

Equity

Flexible Hours

Healthcare

401k

Equity

Flexible Hours

Required Skills

Program Management

Systems Design

Data Analysis

Documentation

Technical Architecture

Change Management

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:

As we scale for our next phase of growth, we need to move from manual processes to a high-performance "People Product." We are looking for a People Systems & Program Manager to be the primary architect and builder of Lang Chain’s internal People infrastructure.

In this role, you will design and implement the scalable systems that allow us to grow while maintaining our bar. You will lead the development of our global compensation frameworks, career leveling, performance cycles, and AI-native operations. This is a high-impact, "builder" role for someone who thrives on turning chaos into documented, automated, and world-class programs.

LOCATION/CITY:

San Francisco, CA; New York, NY

RESPONSIBILITIES:

  • Build & Implement Programs: Drive the end-to-end development and rollout of core people programs, including our first comprehensive compensation bands, career ladders/competency frameworks, performance review cycles, and onboarding and manager enablement in partnership with the People team and the business.

  • Architect the Tech Stack: Design and implement a unified, AI-first People tech strategy. You will move us away from fragmented systems into a cohesive "Source of Truth" that supports our global, hybrid workforce.

  • Innovation & Automation: Proactively identify toil in our people processes and solve it with automation. You will ensure our onboarding, data management, and reporting are smarter and more efficient than a traditional HR setup.

  • Operational Documentation: Turn tribal knowledge into institutional power. You will own the People playbook, ensuring every workflow is documented, transparent, and scalable.

  • Program Management: Lead the project lifecycle and change management across cross-functional stakeholders, ensuring we deliver on time and with high internal clarity.

  • Data Engineering: Build and maintain the dashboards that track organizational health, ensuring leadership has real-time visibility and insights on key People metrics.

REQUIREMENTS:

  • 7+ years of experience: You have been a key builder in a high-growth tech environment, specifically scaling systems through the 500 and 1,000 employee mark.

  • The "Architect" DNA: You enjoy the "how" and solving difficult problems. You are an expert at mapping complex workflows, auditing tech stacks, and building frameworks from scratch. You love data, measuring impact, and leveraging insights to design future improvements.

  • Technical & AI Aptitude: You have examples of leveraging AI-native tools and building with agents to solve traditional HR problems. You are a curious learner excited about future-of-work thinking and AI-enabled people systems.

  • Strong Documentation & Program Management Skills: You believe that if it isn't documented, it doesn't exist. You write clear, logical, and persuasive program overviews. You can move from strategy to execution, manage complex cross-functional programs, and deliver on time with high quality.

  • Execution Machine: You have a bias for action. You don't just design the strategy; you also roll up your sleeves, partner seamlessly with cross-functional stakeholders, and ensure programs are successfully implemented and adopted.

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: $150,000 - $215,000

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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 Manager

1 reports

$192,050

total / year

Base

$167,000

Stock

-

Bonus

-

$192,050

$192,050

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