Software Engineering Manager, AI Observability & Evals Platform

Posted 17 Hours Ago
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Boston, MA, USA
In-Office
200K-240K Annually
Entry level
Information Technology • Software • Database
The Role
Lead the engineering team building LangSmith, an AI observability and evaluation platform for LLM applications. Responsibilities include hiring and mentoring engineers, setting technical direction, ensuring scalability and reliability, partnering with product and design, writing high-quality Go, Python, and TypeScript code, and engaging customers to guide product improvements.
Summary Generated by Built In
About Us

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.

About the Team

The LangSmith team owns and builds LangChain'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 LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.

 
About the role

We’re looking for an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. You’ll define the technical direction, grow and mentor a world-class engineering team, and partner with product and design to deliver features that help developers build and deploy trustworthy AI systems with confidence.

 
What you'll do
  • Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountability

  • Strengthen LangChain’s engineering culture through mentorship, high-quality code, and technical excellence

  • Shape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability Platform

  • Partner with product and design teams to define scope, sequence, and success criteria for key initiatives

  • Maintain a high bar for technical excellence while making sure the team moves with urgency and focus

  • Lead by example in writing clean, maintainable, and well-tested code in Go/Python and Typescript

  • Engage directly with customers to understand their needs and translate them into actionable product improvements

 
What you'll bring
  • Experience managing or tech-leading teams delivering complex full-stack products

  • Strong technical background in Go/Python and React/Typescript

  • Solid understanding of databases (Postgres, Redis and ClickHouse)

  • Proven ability to design high throughput data-intensive systems

  • Bias towards shipping quickly and learning from customers

  • Strong communication skills—able to collaborate with internal stakeholders and engage directly with customers

  • Bonus: Experience building AI/LLM-powered applications, developer tools, or observability platforms

 
  • Annual salary range: $200,000- $240,000

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

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

Skills Required

  • Experience managing or tech-leading teams delivering complex full-stack products
  • Strong technical background in Go, Python, React, and TypeScript
  • Solid understanding of PostgreSQL, Redis, and ClickHouse
  • Proven ability to design high-throughput, data-intensive systems
  • Bias toward shipping quickly and learning from customers
  • Strong communication skills and ability to collaborate with stakeholders and customers
  • Experience building AI or LLM-powered applications, developer tools, or observability platforms
Am I A Good Fit?
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The Company
123 Employees

What We Do

LangChain is the platform for building reliable agents. Our products power top engineering teams — from fast-growing startups like Lovable, Mercor, and Clay to global brands including AT&T, Home Depot, and Klarna. LangGraph is a low-level orchestration framework for building controllable agents and long-running workflows. It’s used in production by teams at Replit, Uber, LinkedIn, GitLab, and more. LangSmith offers unified evaluation and monitoring to help developers debug, evaluate, and improve their agents at scale. LangChain provides hundreds of integrations and composable components, making it easy to connect with the latest models, tools, and databases — with minimal engineering overhead. Together, these tools help teams build, deploy, and manage enterprise-grade agents, faster.

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