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Snowflake is hiring a Staff Frontend Software Engineer to join the AI Products team at Observe, an AI-powered observability platform built on Snowflake's AI Data Cloud. This is a rare opportunity to define the technical direction for AI-native observability and work at the frontier of agentic AI systems.
In this role, you will set technical direction for the AI Products frontend architecture, making foundational decisions about component systems, state management, and rendering strategies. You'll work on the AI SRE product—Observe's flagship tool that helps engineering teams resolve production issues 10x faster through AI-powered signal correlation—owning its frontend architecture from concept through production.
Key responsibilities include designing and building agentic AI interfaces that surface complex multi-step reasoning, tool-use results, and real-time streaming responses in ways that feel immediate and actionable to users. You'll contribute to the Observe Slack integration, creating real-time conversational surfaces that allow users to interact with the AI SRE agent directly within their workflows, and own the technical strategy for future platform integrations. You'll also expand Observe's Model Context Protocol (MCP) integrations and extension architecture, contribute to CLI tooling and evaluation pipelines, and mentor engineers across the team through code review, architecture guidance, and design documents.
You'll collaborate deeply with product and design teams to shape the product roadmap and ensure every feature balances thoughtful user experience with technical excellence. This role requires 10+ years of professional software engineering experience with at least 6 years focused on frontend engineering shipping production products at scale. Expert-level TypeScript proficiency is non-negotiable. You should have deep experience building complex, interactive web applications where you've owned entire product surfaces and made architectural decisions that stood the test of time.
Production experience with agentic AI systems and tool-use patterns is essential—hands-on work with SDKs like Vercel AI SDK, Anthropic Agent SDK, or LangGraph. Strong server-side Node.js experience (Express, Hono, Fastify) is required; you're comfortable building APIs and backend services, not just consuming them. Experience implementing or consuming MCP servers is important, as is demonstrated technical leadership through architecture decisions, RFCs, and design documents. A product-obsessed mindset is critical—you think in terms of user outcomes and push back on designs that don't serve users.
