Software Engineering Manager, AI Observability & Evals Platform (New York, NY)

Startups; New York (NY); On-site; USD 200,000 - 250,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Flexible vacation

401(k) plan

In-office meals in the US

Job summary

LangChain is seeking an Engineering Manager to lead LangSmith, its observability and evaluation platform for LLM apps. You will shape technical direction, grow and mentor a world-class team, and partner with product and design to deliver features that help developers build and deploy trustworthy AI systems.

You will manage a high-performing team, drive engineering culture, and collaborate with customers to translate needs into product improvements, while delivering scalable, data-intensive

Qualifications

• Experience managing or tech-leading teams delivering complex full-stack products.
• Strong background in Go, Python, and React/TypeScript.
• Databases knowledge including Postgres, Redis and ClickHouse.
• Ability to design high throughput data-intensive systems.
• Bias toward shipping quickly and learning from customers.
• Strong communication skills with stakeholders and customers.

Responsibilities

• Build and mentor a high-performing team of engineers.
• Strengthen 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 moving with urgency and focus.
• Lead by example in writing clean, maintainable, and well-tested Go/Python and TS code.
• Engage directly with customers to understand their needs and translate them into actionable product improvements.

Skills

Team leadership

Go

Python

React/Typescript

Tools

Postgres

Redis

ClickHouse

Job description

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- $250,000

Compensation Philosophy:

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

We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. 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.