2 months ago
Base Salary
$236k - $339k/yr
Responsibilities
- Set technical direction for the AI Products frontend architecture, including component systems, state management, and rendering strategies.
- Build and drive the frontend architecture for the AI SRE product from concept through production.
- Design agentic AI interfaces for multi-step reasoning, tool-use results, and real-time streaming responses.
- Develop the Observe Slack integration and define the technical strategy for future platform integrations.
- Contribute to CLI tooling, evaluation pipelines, MCP integrations, and extension architecture.
- Mentor engineers through code reviews, architecture guidance, design documents, and pair programming.
- Collaborate with product and design to shape the roadmap and deliver thoughtful user experiences.
Requirements
- 10+ years of professional software engineering experience, including at least 6 years of frontend engineering experience shipping production products at scale.
- Expert-level TypeScript proficiency and experience structuring large TypeScript codebases.
- 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 Vercel AI SDK, Anthropic Agent SDK, LangGraph, or equivalent.
- Strong server-side Node.js experience with Express, Hono, Fastify, or similar technologies.
- Experience implementing or consuming Model Context Protocol servers and designing extensible tool interfaces for LLM-powered systems.
- Demonstrated technical leadership in architecture decisions, RFCs or design documents, and cross-team technical direction.
- Product-focused approach centered on user outcomes.
- BS or MS in Computer Science or Engineering, or equivalent professional experience.
- Preferred experience includes production LLM evaluation pipelines, Bun, developer platforms or internal tools, open-source contributions, and familiarity with OpenTelemetry, logs, metrics, traces, APM, or Observe.
Benefits
- Startup-level autonomy, direct customer impact, and a small-team environment with minimal bureaucracy.
- Snowflake-level infrastructure, data platform resources, and enterprise distribution.
- Opportunity to work on cutting-edge agentic AI and ship products used by customers at massive scale.
- Salary and benefits information is available on the Snowflake Careers Site for United States roles.
Tech Stack
Categories
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.