People Programs and Total Rewards Architect

About the role

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. The People team at LangChain is architecting the operating system for the team behind the agents. Our charter is to make LangChain the best place to work , building the foundational infrastructure-from recruiting and global rewards to performance systems and AI upskilling-that empowers our team to achieve our mission of making agents ubiquitous. We treat the entire employee lifecycle as a product: modular, intentional, and designed for high-velocity iteration. We act as our own internal lab, dogfooding LangChain to automate the mundane and ensure our team stays focused on the high-judgment, high-impact work that moves the needle for our mission. We are looking for a foundational People Programs & Total Rewards Architect to build the engine that will power LangChain's next phase of growth. This isn't a traditional HR administer and maintain role. This is a high-agency, technical builder role for someone who views People programs as a product to be engineered. You will architect and operationalize how LangChain rewards, recognizes, and retains elite talent in a world where the future of work is being rewritten by AI. You will partner closely cross-functionally to build a global rewards and performance infrastructure that is competitive, equitable, and modular. The systems you build today will define how we scale tomorrow.

Responsibilities

• Architect the Reward Engine: Design and deploy a global compensation philosophy from first principles. You'll build the frameworks for salary bands, leveling, and promotion guidelines that stay ahead of the hyper-competitive AI talent market.
• Future of Work Lab: Partner with our Applied AI team to drive company-wide adoption of AI tools, rethinking how AI-augmented roles change our definitions of performance, upskilling, and career velocity.
• Equity Strategy & Education: Own the evolution of our global equity programs. You'll manage forecasting and modeling while ensuring every LangChain team member deeply understands the value of their stake in our mission.
• Performance Engineering: Design and run high-velocity performance and development programs that emphasize impact over activity, ensuring talent density remains elite as we scale.
• Data-Driven Influence: Build real-time dashboards and predictive analytics to help leadership make future-proof decisions on workforce planning and pay equity.

Requirements

• 6-10+ Years of Building: You have scaled People programs or Total Rewards at a high-growth tech startup.
• Extreme Agency: You don't wait for a playbook; you write it. You are comfortable in the messy middle of hyper-growth and can navigate ambiguity with a technical mindset.
• AI Fluency: You aren't just a user of AI; you are an enthusiast. You understand how to leverage agents, prompt engineering, and automation to do the work of a team of five.
• Quantitative Rigor: You treat a cap table and a budget like a logic puzzle. You are a pro at compensation modeling, data visualization, and financial discipline.
• Product Mindset: You approach People programs with a "version 1.0 vs. version 2.0" mentality. You know when to ship a pragmatic solution and when to iterate for scale.
• Global Mindset: You've built for distributed teams

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