At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster.
Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms.
We are hiring a Software Engineer, AI Products for our AI Platform 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.
In this role you will:
- 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
Qualifications
- 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
Bonus points:
- Hands-on experience with LLMs, agents, and evaluation (evals) pipelines in production environments
- Experience with Bun as a runtime
- Prior work on developer tooling, internal platforms, or productivity infrastructure that directly shaped how an engineering team operates
- Contributions to open-source AI, tooling, or observability projects
- Familiarity with Observe's platform or the broader observability ecosystem (logs, metrics, traces, APM)
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com