Senior Frontend Engineer (AI Product, Observe by Snowflake)

Snowflake; San Francisco (CA); On-site; USD 160,000 - 210,000; Full time

Job summary

Snowflake's Observe team is hiring a Senior Frontend Engineer, AI Products. You will shape user experiences in AI-powered observability tools and developer tooling at the core of Observe's platform.

You\'ll own features end-to-end across UI and API surfaces, collaborate with product and design, and help scale MCP integrations and AI SRE capabilities for customers and internal teams.

Qualifications

• Strong TypeScript proficiency is a core requirement.
• Experience building full-stack apps across backend, API, and frontend.
• Experience with server-side Node.js frameworks (Express.js, Hono).
• Experience with agentic AI systems and tool-use patterns using AI SDKs.
• Experience implementing MCP servers over HTTP.
• Experience building agent-first CLI systems with Node.js or Bun.
• A product mindset focusing on UX and implementation.
• Ability to move quickly in a fast-moving codebase while maintaining quality.
• BS/MS in Computer Science, Engineering, or equivalent.
• (Desirable) Hands-on AI/agents/evals in production.
• (Desirable) Experience with Bun runtime.
• (Desirable) Prior work on developer tooling or productivity infrastructure.
• (Desirable) Contributions to open-source AI/tooling/observability.
• (Desirable) Familiarity with Observe's platform or observability ecosystem.

Responsibilities

• We are hiring a Senior Frontend Engineer, AI Products team at Observe by Snowflake.
• As an AI Product engineer you'll always be thinking first about the user experience and how to create the best product, technical choices, and implementation decisions that stem from that product first thinking.
• This team builds the AI-powered products and developer tooling at the core of Observe's platform, including our flagship AI SRE product, real-time Slack integrations, CLI tooling, evaluation pipelines, and Model Context Protocol (MCP) capabilities.
• You will work on highly visible, customer-facing AI products as well as internal tooling that directly impacts how the broader engineering team operates.
• Own features end-to-end across the full stack, from API design and backend logic through to the front-end experience, shipping customer-facing AI products with speed and quality.
• Build and evolve the AI SRE product, Observe's flagship tool that helps engineering teams resolve production issues up to 10x faster through AI-powered signal correlation.
• Develop the AI SRE Slack integration, creating real-time surfaces that let users interact with the AI SRE agent directly within their existing workflows.
• Build developer-facing CLI tooling, the APIs that power it, and evaluation pipelines that ensure model and system quality.
• Expand Observe's Model Context Protocol (MCP) integrations, extending the capabilities and reach of our agentic AI systems.
• Design and consume RESTful APIs with confidence, working both as a producer and a consumer across a fast-moving, interconnected codebase.
• Collaborate closely with product and design to ensure every feature is as thoughtful in user experience as it is in implementation.
• Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties.

Skills

TypeScript

Full-stack web development

Agentic AI / tool-use patterns

RESTful APIs design

MCP (Model Context Protocol) over HTTP

CLI tooling with Node.js / Bun

Product mindset

Fast-moving codebase adaptation

BS/MS in CS or equivalent

Education

BS/MS in Computer Science or equivalent

Tools

Express.js

Hono

Vercel AI SDK

Anthropic Agent SDK

LangGraph

Tanstack AI SDK

Bun runtime

Job description

Requirements

• Strong proficiency in TypeScript, this is a core requirement for the role
• Demonstrated experience building full-stack web applications, with comfort across backend logic, API design, and frontend surfaces
• Experience with server-side Node.js frameworks such as Express.js, Hono, or similar
• Experience building or working with agentic AI systems and tool-use patterns, using SDKs such as the Vercel AI SDK, Anthropic Agent SDK, LangGraph, or Tanstack AI SDK
• Experience implementing MCP (Model Context Protocol) servers over HTTP
• Experience building agent-first CLI systems using Node.js or Bun
• A product mindset, you care as much about the user experience as the implementation details
• The ability to move quickly in a fast-moving codebase without sacrificing quality or maintainability
• A BS/MS in Computer Science, Engineering, or equivalent experience
• (Desirable) Hands-on experience with LLMs, agents, and evaluation (evals) pipelines in production environments
• (Desirable) Experience with Bun as a runtime
• (Desirable) Prior work on developer tooling, internal platforms, or productivity infrastructure that directly shaped how an engineering team operates
• (Desirable) Contributions to open-source AI, tooling, or observability projects
• (Desirable) Familiarity with Observe's platform or the broader observability ecosystem (logs, metrics, traces, APM)

What the job involves

• We are hiring a Senior Frontend Engineer, AI Products team at Observe by Snowflake. As an AI Product engineer you'll always be thinking first about the user experience and how to create the best product, technical choices, and implementation decisions that stem from that product first thinking
• This team builds the AI-powered products and developer tooling at the core of Observe's platform, including our flagship AI SRE product, real-time Slack integrations, CLI tooling, evaluation pipelines, and Model Context Protocol (MCP) capabilities
• You will work on highly visible, customer-facing AI products as well as internal tooling that directly impacts how the broader engineering team operates
• Own features end-to-end across the full stack, from API design and backend logic through to the front-end experience, shipping customer-facing AI products with speed and quality
• Build and evolve the AI SRE product, Observe's flagship tool that helps engineering teams resolve production issues up to 10x faster through AI-powered signal correlation
• Develop the AI SRE Slack integration, creating real-time surfaces that let users interact with the AI SRE agent directly within their existing workflows
• Build developer-facing CLI tooling, the APIs that power it, and evaluation pipelines that ensure model and system quality
• Expand Observe's Model Context Protocol (MCP) integrations, extending the capabilities and reach of our agentic AI systems
• Design and consume RESTful APIs with confidence, working both as a producer and a consumer across a fast-moving, interconnected codebase
• Collaborate closely with product and design to ensure every feature is as thoughtful in user experience as it is in implementation
• Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential