Software Engineering Manager, AI Observability & Evals Platform (san Francisco, Ca)

LangChain LangChain · Data AI · San Francisco, CA · Engineering

Engineering Manager to lead the team building LangSmith, an observability and evaluation platform for LLM applications. Responsibilities include defining technical direction, growing and mentoring the team, and partnering with product/design to deliver features for trustworthy AI systems.

What you'd actually do

  1. Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountability
  2. Strengthen LangChain’s engineering culture through mentorship, high-quality code, and technical excellence
  3. Shape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability Platform
  4. Partner with product and design teams to define scope, sequence, and success criteria for key initiatives
  5. Maintain a high bar for technical excellence while making sure the team moves with urgency and focus

Skills

Required

  • 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

Nice to have

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

What the JD emphasized

  • LangSmith AI Observability Platform

Other signals

  • LangSmith observability and evaluation platform for LLM applications
  • production reliability of AI systems
  • define what great AI observability looks like at production scale