---
title: 'Senior Frontend Engineer, AI Product -  Observe by Snowflake at Snowflake'
canonical: 'https://feeny.ai/job/senior-frontend-engineer-ai-product-observe-by-snowflake-snowflake-menlo-park-vp081s67fqah'
type: 'job'
last_seen: '2026-09-11'
---

# Senior Frontend Engineer, AI Product -  Observe by Snowflake at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Menlo Park, CA
- **Compensation:** $200k–$288k
- **Employment:** full-time
- **Posted:** 2026-04-29
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/snowflake/76e65492-9ff5-4ca1-950a-3565f075f6cb/application

**Skills:** TypeScript, Node.js, Express.js, Hono, Agentic AI systems, Vercel AI SDK, Anthropic Agent SDK, LangGraph, Tanstack AI SDK, Model Context Protocol (MCP), RESTful APIs, SLO, Bun, LLMs, Agents, Evaluation pipelines, Open-source AI contributions, Observability projects, Internal platforms, Developer tooling

> The Senior Software Engineer will own end-to-end features for the Observe by Snowflake AI-powered observability platform, including building the AI SRE product, Slack integrations, and CLI tooling. This role involves developing RESTful APIs, implementing Model Context Protocol (MCP) servers, and ensuring high-qualit...

## 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.

We are hiring a Senior Frontend Engineer, AI Products 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)

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential.

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](http://careers.snowflake.com)

## About Snowflake

## Company Overview
- **One-liner**: Snowflake provides an AI Data Cloud platform that enables enterprises to store, analyze, and securely share their data across multiple clouds and geographies.
- **Entity Type**: Public (NYSE: SNOW)
- **Headquarters**: Bozeman, Montana, United States
- **Founded**: 2012
- **Founders**: Not explicitly listed in the provided search results (widely known co-founders include Benoit Dageville, Thierry Cruanes, Marcin Zukowski – not verified in these search results)

## Core Business
- **Primary Industry**: Enterprise software, cloud data platform
- **Target Customers**: B2B, including large enterprises (e.g., hundreds of the world’s largest companies), mid-market, and SMBs
- **Mission**: “To Mobilize the World’s Data” (Glassdoor) and “empower every enterprise to achieve its full potential through data and AI” (Snowflake Careers page)

## Products & Services
- **Snowflake AI Data Cloud**: A unified, multi-cloud platform that combines data warehousing, data lakes, data sharing, and AI/ML capabilities. Customers can discover, share, and analyze data while running analytic workloads across public clouds (AWS, Azure, GCP).
- **Snowflake Marketplace**: A marketplace for discovering and accessing third‑party data sets and applications.
- **Snowflake‑Powered Applications**: Platform for building and deploying data‑intensive applications.

## Market Standing
- **Valuation/Market Cap**: Not directly provided in search results (as a public company, market cap fluctuates and is available on financial websites).
- **Key Metric**: Annual Revenue – $1 to $5 billion (USD) per Glassdoor.
- **Notable Investors/Partners**: Not explicitly mentioned in the search results (historically backed by Sequoia Capital, Dragoneer, etc. – not verified here).
- **Growth Signals**:
  - Named #1 on the 2023 Fortune Future 50 List ([Fortune.com](https://fortune.com))
  - Listed as a U.S. Best Large Place to Work by BuiltIn in 2024
  - Recognized as one of the “20 Coolest Cloud Software Companies” by CRN in 2022 and 2024
  - Headcount of 5,001–10,000 employees with 30 global locations; actively hiring
  - Revenue range $1B–$5B indicates strong scale

## Competitive Advantages
- **Multi‑Cloud Flexibility**: Operates across AWS, Azure, and GCP, avoiding vendor lock‑in.
- **Unified Data Experience**: One platform for data sharing, analytics, and AI, reducing silos.
- **Separation of Compute and Storage**: Allows independent scaling and cost efficiency (not detailed in provided sources, but a known differentiator).
- **Strong Ecosystem**: Data marketplace and extensive partner network.

## Strategic Focus
- **AI & Data Innovation**: The company’s current emphasis is on making “enterprise AI easy, efficient, and trusted” and integrating AI capabilities into the Data Cloud.
- **Global Expansion**: Active hiring across 30 locations indicates continued geographic growth.
- **Customer‑Centric Development**: Focus on empowering enterprises to achieve “full potential through data and AI.”

## Why Work Here
- **Culture**: Described as “driven by innovation, low egos, high bars, and collaboration” (Snowflake Careers page). Glassdoor rating of 3.9/5 overall (78% approve CEO).
- **Work‑Life Balance**: Glassdoor rates Work/Life Balance at 3.7/5; many remote and hybrid roles available (see Indeed listings).
- **Benefits**: “Benefits & Beyond” program includes competitive compensation, equity, career advancement programs, and commitment to pay equality and veteran hiring.
- **Engineering Focus**: Hiring process includes 2–4 week timeline with technical interviews; the company values impactful, project‑based work for all roles, including interns.
- **Recognition**: Named a Best Large Place to Work (BuiltIn 2024) and future‑focused by Fortune, signaling strong employer brand.

## Sources
1. [Snowflake Careers Overview](https://careers.snowflake.com/us/en)
2. [Life at Snowflake](https://careers.snowflake.com/us/en/snowflake-life)
3. [Snowflake on Glassdoor](https://www.glassdoor.com/Overview/Working-at-Snowflake-EI_IE928471.11,20.htm)
4. [Snowflake Hiring Process](https://careers.snowflake.com/us/en/gethired)
5. [Snowflake on Indeed](https://www.indeed.com/cmp/Snowflake-7f4a7fba)
6. [Snowflake Careers Portal (Ashby)](https://jobs.ashbyhq.com/snowflake) – provided by user

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