Staff Frontend Software Engineer (AI)

Location: Menlo Park, California, United States

Salary: $236K–$339.2K per year

Company

Snowflake develops the Observe AI-powered observability platform on the Snowflake AI Data Cloud, helping engineering teams analyze telemetry and resolve production issues at enterprise scale.

What you will do

• Set technical direction for the AI Products frontend architecture, including component systems, state management, and rendering strategies.
• Drive the frontend architecture of the AI SRE product from concept through production.
• Design and build agentic AI interfaces for multi-step reasoning, tool-use results, and real-time streaming responses.
• Develop Slack integration surfaces and define the technical strategy for future platform integrations.
• Contribute to CLI tooling, evaluation pipelines, MCP integrations, and extensible agent architecture.
• Mentor engineers, guide architecture and design decisions, and collaborate with product and design on the roadmap.

Requirements

• 10+ years of professional software engineering experience, including at least 6 years focused on frontend engineering for production products at scale.
• Expert-level TypeScript proficiency.
• Deep experience building complex, interactive web applications and owning complete product surfaces.
• Production experience with agentic AI systems and tool-use patterns, including SDKs such as the Vercel AI SDK, Anthropic Agent SDK, LangGraph, or equivalent.
• Strong server-side Node.js experience with Express, Hono, Fastify, or similar, including APIs, middleware, and backend services.
• Experience implementing or consuming MCP servers and designing extensible tool interfaces for LLM-powered systems.
• Demonstrated technical leadership through architecture decisions, RFCs or design documents, and influence beyond the immediate team.
• Product-focused approach centered on user outcomes.
• BS/MS in Computer Science, Engineering, or equivalent professional experience.

Nice to have

• Hands-on experience building production evaluation pipelines for LLM-powered features.
• Experience with Bun for CLI tooling or server applications.
• Experience building developer platforms, internal tools, or productivity infrastructure.
• Open-source contributions to AI tooling, observability, or developer experience tools.
• Familiarity with OpenTelemetry, logs, metrics, traces, APM, or the Observe platform.

Culture & Benefits

• Startup-level autonomy, a small team, direct customer impact, and rapid shipping.
• Snowflake-level infrastructure, data platform resources, and enterprise distribution.
• Opportunity to work on cutting-edge agentic AI and define an AI-native observability experience.
• Technical work includes complex problems, fast execution, and visible impact on customers and teammates.