Software Engineering Manager, AI Observability & Evals Platform (new York, Ny)

LangChain LangChain · Data AI · New York, NY · Engineering

Engineering Manager to lead the team building LangSmith, an observability and evaluation platform for LLM applications. Responsibilities include defining technical direction, mentoring engineers, and partnering with product/design to deliver features for trustworthy AI systems. Requires experience managing teams, strong technical background in Go/Python/Typescript, and understanding of data-intensive 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

Nice to have

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

What the JD emphasized

  • AI Observability & Evals Platform
  • observability and evaluation platform for LLM applications
  • AI observability looks like at production scale
  • trustworthy AI systems

Other signals

  • building observability and evaluation platform for LLM applications
  • define the technical direction, grow and mentor a world-class engineering team
  • partner with product and design to deliver features that help developers build and deploy trustworthy AI systems with confidence
  • own LangSmith end-to-end
  • define what great AI observability looks like at production scale