Software Engineering Manager, AI Observability & Evals Platform
About this role
The LangSmith team builds a core platform for observability, evaluation, and production reliability of AI systems, owning tracing, annotation, run rules, and evaluations end-to-end. Engineering leadership is needed to guide the development of LangSmith, defining technical direction and shaping products that help developers build trustworthy AI systems with confidence.
Guiding a high-performing group of developers involves fostering accountability, writing clean code, and partnering closely with product and design. Individuals who thrive here possess a strong technical background in full-stack development, a bias toward shipping quickly, and a genuine interest in engaging directly with customers to address their needs.
What you will do
- Build, mentor, and grow a high-performing team of engineers while fostering collaboration, ownership, and accountability.
- Strengthen the engineering culture through mentorship, high-quality code, and technical excellence.
- Shape long-term technical direction to ensure the scalability and reliability of the 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 ensuring 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 need
- Experience managing or tech-leading teams delivering complex full-stack products.
- Strong technical background in Go or Python, alongside React and TypeScript.
- Solid understanding of databases including Postgres, Redis, and ClickHouse.
- Proven ability to design high-throughput, data-intensive systems.
- A demonstrated bias towards shipping quickly and learning from customers.
- Strong communication skills for collaborating with internal stakeholders and engaging directly with customers.
Nice to have
- Experience building AI/LLM-powered applications, developer tools, or observability platforms
Benefits
- Medical, dental, and vision coverage
- Flexible vacation
- 401(k) plan
- Meals on in-office days in the US
Skills and tech stack
Questions candidates ask
What is the compensation for this position?
The annual salary range is $200,000 to $240,000. Compensation also includes variable compensation for relevant roles, meaningful equity, benefits, and perks.
What technologies will I be working with?
You will lead development using Go, Python, React, and TypeScript. The stack also utilizes databases such as Postgres, Redis, and ClickHouse.
What does the team actually own?
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. This includes tracing, annotation, run rules, and evaluations end-to-end.