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

Langchain
United States
On-site

Who this role is best for

Geared toward experienced engineering leaders comfortable with full-stack product development and customer engagement.

Best fit for

  • Experienced engineering leaders with a track record in full-stack product development
    — “managing or tech-leading teams delivering complex full-stack products”
  • Candidates with a technical background in Go/Python and React/Typescript
    — “Strong technical background in Go/Python and React/Typescript”
  • Individuals who can shape long-term technical direction and drive scalability
    — “Shape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability Platform”

Things to consider

  • The role requires in-office presence for meals, implying limited remote flexibility
    — “meals on in-office days in the US”
  • Compensation depends on demonstrated impact during the interview process
    — “Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process”

How to stand out

  • Highlight experience in building scalable data-intensive systems and observability tools
    — “Proven ability to design high throughput data-intensive systems”
  • Demonstrate leadership in growing and mentoring engineering teams
    — “Build, mentor, and grow a high-performing team of engineers”
  • Showcase technical contributions in Go/Python and Typescript through code examples
    — “Lead by example in writing clean, maintainable, and well-tested code in Go/Python and Typescript”
  • Emphasize collaboration with product and design teams on technical initiatives
    — “Partner with product and design teams to define scope, sequence, and success criteria for key initiatives”
  • Demonstrate customer engagement skills and ability to translate feedback into product improvements
    — “Engage directly with customers to understand their needs and translate them into actionable product improvements”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · TeamLevel · Manager

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • high-performing team
  • technical excellence
  • customer satisfaction
Typical background
software engineeringteam management

Skills & requirements

Required

Team ManagementTechnical LeadershipFull-stack DevelopmentGo/pythonReact/typescriptDatabase ManagementCommunication

Preferred

Ai/llm ApplicationsObservability Platforms

Stack & domain

GoPythonTypeScriptReactPostgreSQLRedisClickhouseLeadershipCommunicationAILLMObservabilityEvaluationEvals Platform

About the role

As an Engineering Manager at LangChain, you'll lead a team of developers in creating an observability and evaluation platform for AI applications, ensuring they deliver reliable and scalable solutions while fostering a culture of technical excellence and customer-centric innovation.

Original posting from Langchain via Ashby

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.

Source: Langchain careers (Ashby)

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