Product Manager, LangSmith

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.

With $125M raised at Series B from IVP, Sequoia, Benchmark, Capital

G, 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.

Today, our platform includes Lang Smith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (Lang Chain, Lang Graph, and Deep Agents), and the newly launched Lang Smith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active Lang Smith customers, and 5 of the Fortune 10 use Lang Smith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, Linked In, , Nvidia, and Bridgewater.

The Lang Smith team owns and builds Lang Chain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns Lang Smith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.

We're looking for a Product Manager to own key parts of Lang Smith. Building AI products is changing the way software teams work;
Lang Smith is the observability, evals and deployment platform that makes shipping reliable AI systems possible.

This role sits at the intersection of user experience and production infrastructure. You'll partner with engineers to build features that feel intuitive while solving deeply technical problems: versioning complex prompt chains, debugging multi-step agent failures, or designing evaluation systems that scale from 10 to 10,000 test cases.

You'll work directly with customers — from early-stage startups shipping their first agent to enterprises running mission‑critical AI systems — to understand where the platform breaks down and what capabilities unlock new workflows.

• Own the roadmap for a core area of the Lang Smith platform.

• Work with customers to understand their challenges and define new product features.

• Work with engineering to define scope, make technical tradeoffs, and ship high‑impact features quickly.

• Help shape product strategy alongside our founders and leadership team.

• 3+ years of product management or engineering experience, ideally building developer tools, infrastructure products, or technical SaaS platforms.

• Deeply technical — you can hold your own in conversations about API design, system architecture, data pipelines, and debugging production issues.

• Bias toward action — you'd rather ship, learn, and iterate than build the perfect solution upfront.

• Strong written and verbal communicator who can align cross‑functional teams around a shared vision.

• Computer Science, Engineering, or equivalent technical background.

• Previous experience at a high‑growth startup or developer‑focused company.

• Hands‑on experience building with LLMs, agents, or AI applications.

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

Compensation Philosophy:

We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.

Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in‑office days in the US and more.