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Software Engineering Manager, AI Observability & Evals Platform (San Francisco, CA)

LangChain

Software Engineering Manager, AI Observability & Evals Platform (San Francisco, CA)

LangChain

San Francisco, CA

·

On-site

·

Full-time

·

2w ago

Compensation

$200,000 - $250,000

Benefits & Perks

Healthcare

401(k)

Equity

Flexible Hours

Healthcare

401k

Equity

Flexible Hours

Required Skills

Go

Python

React

TypeScript

Team Management

Technical Leadership

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.

Today, Lang Chain, Lang Graph, Lang Smith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust Lang Chain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.

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. Lang Chain is a place where your contributions can shape how this technology shows up in the real world.

About The Role:

We’re looking for an Engineering Manager to lead the team building Lang Smith, 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.

You will:

  • Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountability

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

  • Shape long-term technical direction and ensure scalability and reliability of Lang Smith 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 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 Click House)

  • 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

Compensation & Benefits:

  • We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. 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.

  • Annual salary range: $200,000- $250,000

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About LangChain

LangChain

LangChain

Series B

A platform that provides open-source frameworks and tools for engineering and deploying language model agents.

51-200

Employees

San Francisco

Headquarters

$200M

Valuation

Reviews

3.4

3 reviews

Work Life Balance

2.5

Compensation

3.0

Culture

2.8

Career

3.2

Management

2.3

35%

Recommend to a Friend

Pros

Working with cutting-edge AI technologies like LangChain and RAG

Hands-on experience building end-to-end AI projects

Exposure to modern applied AI development

Cons

Uncertainty about long-term career prospects and employability

Projects rarely make it to production use

Lack of senior developer mentorship and guidance

Salary Ranges

9 data points

Mid/L4

Mid/L4 · Product Designer

1 reports

$178,619

total / year

Base

$155,147

Stock

-

Bonus

-

$178,619

$178,619

Interview Experience

10 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

60%

Experience

Positive 50%

Neutral 40%

Negative 10%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Assessment/Take-home

4

Technical Interview

5

Virtual Onsite/Final Round

6

Offer

Common Questions

System Design

Machine Learning/AI Knowledge

Coding/Algorithm

Technical Architecture

Behavioral/STAR