Software Engineering Manager, AI Observability & Evals Platform

LangChain, Inc

$200K — $240K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Experience managing or tech-leading full-stack product delivery
  • Strong technical background in Go/Python and React/Typescript
  • Solid understanding of Postgres, Redis, and ClickHouse databases
  • Proven experience in designing high throughput data-intensive systems
  • Ability to ship quickly and learn from customer feedback
  • Strong communication skills for collaboration with stakeholders and customers
  • Bonus: Experience with AI/LLM applications or observability platforms

Responsibilities

  • Build, mentor, and grow a high-performing engineering team
  • Strengthen engineering culture through mentorship and code quality
  • Shape technical direction for LangSmith AI Observability Platform
  • Partner with product and design to define project scopes and success criteria
  • Maintain high standards for technical excellence while ensuring team focus
  • Lead by example in writing clean, maintainable code in Go/Python and Typescript
  • Engage with customers to gather needs and drive product improvements

Benefits

  • Medical, dental, and vision coverage
  • Flexible vacation policy
  • 401(k) plan
  • Meals provided on in-office days in the US
  • Local competitive benefits for EU, UK, and APAC teams
Full Job Description
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.

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