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

About the role

We are seeking an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. This role involves:

• Defining the technical direction for LangSmith
• Growing and mentoring a high-performing engineering team
• Partnering with product and design teams to deliver key initiatives
• Maintaining a high bar for technical excellence
• Leading by example in writing clean, maintainable, and well-tested code
• Engaging directly with customers to understand their needs and improve the product

Responsibilities

As the Engineering Manager, you will be responsible for:

• Building, mentoring, and growing a high-performing team of engineers
• Fostering collaboration, ownership, and accountability within the team
• Shaping long-term technical direction and ensuring scalability and reliability of LangSmith AI Observability Platform
• Partnering with product and design teams to define scope, sequence, and success criteria for key initiatives
• Maintaining a high bar for technical excellence while moving with urgency and focus
• Engaging directly with customers to understand their needs and translate them into actionable product improvements

Requirements

To succeed in this role, you should have:

• Experience managing or tech-leading teams delivering complex full-stack products
• A strong technical background in Go/Python and React/Typescript
• A solid understanding of databases (Postgres, Redis, and ClickHouse)
• A proven ability to design high-throughput data-intensive systems
• A bias towards shipping quickly and learning from customers
• Strong communication skills—able to collaborate with internal stakeholders and engage directly with customers

Qualifications

Preferred qualifications include:

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

Skills

The ideal candidate should possess:

• Technical leadership skills
• Experience with AI/ML observability and evaluation
• Ability to work in a fast-paced, dynamic environment

Benefits

Our benefits package includes:

• Medical, dental, and vision coverage
• A 401(k) plan
• Flexible vacation policy
• Meals on in-office days in the US
• Additional perks and local benefits aligned with regional norms and regulations