Why This Job is Featured on The SaaS Jobs
Observe by Snowflake sits in a distinct corner of the SaaS ecosystem: an observability product built on a data cloud foundation, where the interface must make high-volume telemetry and AI-driven insights usable for engineers. A senior frontend remit here signals work at the intersection of enterprise SaaS expectations, data-intensive UX, and emerging patterns for LLM-assisted workflows within operational tooling.
For a SaaS career, this kind of role tends to compound in transferable ways. It builds fluency in product surfaces that are judged on reliability, latency, and clarity rather than visual polish alone, which is central to modern B2B platforms. It also develops experience translating complex backend and model outputs into coherent user journeys, a capability increasingly relevant as SaaS products add natural language querying, guided troubleshooting, and AI-assisted decision support.
This position is best suited to an engineer who enjoys owning substantial features end to end and collaborating tightly with product, design, and AI or ML counterparts. It will appeal to someone comfortable making pragmatic trade-offs between performance and usability, and who prefers work where technical UI decisions directly shape how customers investigate incidents and understand systems at scale.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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.
In this role you will:
Develop interactive, data-rich user interfaces using React, TypeScript, and Vega, with a focus on integrating LLM-driven features (e.g., natural language querying, generative UI, and AI-assisted data storytelling).
Lead the end-to-end delivery of substantial product features, ensuring AI outputs are presented with high reliability and low latency.
Work closely with PMs, UX designers, and AI/ML engineers to bridge the gap between complex model outputs and intuitive user experiences.
Be a strong contributor to team planning, specifically identifying opportunities where Generative AI can simplify complex technical workflows for our users.
Champion the use of AI-assisted development tools (e.g., GitHub Copilot, Cursor) to maintain high code quality and accelerate delivery.
Qualifications:
7+ years of industry experience building and maintaining complex enterprise applications.
Deep day-to-day knowledge of React, JavaScript, and TypeScript.
The ability to balance functionality, delivery speed, and the unique performance challenges of AI-integrated frontends (e.g., streaming responses, optimistic UI updates).
A drive to understand how frontend development—and specifically Human-AI Interaction (HAI)—impacts the overall customer experience.
A proactive approach to learning, especially regarding the evolving ecosystem of AI frameworks and frontend integration patterns.
Bonus Points:
Experience with commercial dashboarding products (e.g., Splunk, Datadog, Looker) or integrating AI into BI tools.
Deep knowledge of the DOM, CSS, Canvas, and XHR, specifically for optimizing the rendering of large-scale AI data sets.
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
