
Staff Frontend Software Engineer (AI Product, Observe by Snowflake)
Snowflake
Job description
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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
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This is a rare opportunity to define the future of AI-native observability. We are hiring a Staff Frontend Software Engineer on the AI Products team, the team responsible for the most transformative, customer-facing AI capabilities at Observe
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You won’t just ship features here; you’ll set the technical direction for how AI agents, real-time integrations, and developer tooling come together to fundamentally change how engineers operate production systems. If you want to work at the frontier of agentic AI, in a product that ships to real customers solving real problems every day, this is the role
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Set technical direction for the AI Products frontend architecture, making foundational decisions about component systems, state management, and rendering strategies that scale across a rapidly growing product surface
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Opportunity to work on the AI SRE product, Observe’s flagship tool that helps engineering teams resolve production issues 10x faster through AI-powered signal correlation, driving its frontend architecture from concept through production
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Design and build agentic AI interfaces that surface complex multi-step reasoning, tool-use results, and real-time streaming responses in ways that feel immediate, trustworthy, and actionable to users
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Contribute to the design and development of the Observe Slack integration, creating real-time conversational surfaces that allow users to interact with the AI SRE agent directly inside their existing workflows, and own the technical strategy for future platform integrations
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Contribute to the CLI tooling and evaluation pipelines, defining the developer experience for interacting with Observe’s agentic systems and ensuring model and system quality through rigorous evals
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Expand Observe’s Model Context Protocol (MCP) integrations, and extension architecture that grows the reach and capability of our agentic AI systems
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Mentor and elevate engineers across the team through code review, architecture guidance, design documents, and pair programming, raising the technical bar for the entire AI Products group
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Collaborate deeply with product, and design to shape the product roadmap, influence what gets built, and ensure every feature is as thoughtful in user experience as it is technically sound
Benefits
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Comprehensive health insurance plans
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Health savings accounts
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Robust retirement plans
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Life and disability insurance
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Weekly online lunch and learns
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Virtual workout classes
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Ergonomic work-from-home equipment
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On-demand mental health and wellness programs
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Fertility benefits and family planning resources
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Generous time-off and various leave plans
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Onsite and Remote Work
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Employee discounts and pre-tax selections
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New hire equity + Employee Stock Purchase Plan (ESPP)
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Quarterly bonus or commission program- Production experience with agentic AI systems and tool-use patterns, including hands-on work with SDKs like the Vercel AI SDK, Anthropic Agent SDK, LangGraph, or equivalent, you understand how to build UIs for non-deterministic, streaming, multi-step agent workflows
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Strong server-side Node.js experience (Express, Hono, Fastify, or similar), you’re comfortable building APIs, middleware, and backend services, not just consuming them
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A product-obsessed mindset, you think in terms of user outcomes, not just technical correctness, and you push back on designs that don’t serve the user
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Experience implementing or consuming MCP (Model Context Protocol) servers, you understand the protocol and can design extensible tool interfaces for LLM-powered systems
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10+ years of professional software engineering experience, with at least 6 years focused on frontend engineering shipping production products at scale
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Expert-level TypeScript proficiency, this is non-negotiable for the role; you write idiomatic, type-safe code and have opinions about how to structure large TypeScript codebases
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Deep experience building complex, interactive web applications, you’ve owned entire product surfaces, not just individual components, and made architectural decisions that stood up over time
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Demonstrated technical leadership, you’ve driven architecture decisions, authored RFCs or design docs, and influenced technical direction beyond your immediate team
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BS/MS in Computer Science, Engineering, or equivalent professional experience
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Experience with Bun as a runtime for CLI tooling or server applications
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Hands-on experience building evaluation (evals) pipelines for LLM-powered features in production, you’ve measured and improved model output quality at scale
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Open-source contributions to AI tooling, observability projects, or developer experience tools
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Prior work building developer platforms, internal tools, or productivity infrastructure that meaningfully changed how an engineering team operates
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Familiarity with the observability ecosystem (OpenTelemetry, logs/metrics/traces, APM) or direct experience with Observe’s platform