---
title: 'Staff Software Development - Full Stack at Snowflake'
canonical: 'https://feeny.ai/job/staff-software-development-full-stack-snowflake-dublin-pes771bdkf3q'
type: 'job'
last_seen: '2026-11-06'
---

# Staff Software Development - Full Stack at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Dublin, CA
- **Compensation:** $208k–$299k
- **Employment:** full-time
- **Posted:** 2026-10-19
- **Last confirmed live:** 2026-11-06
- **Apply:** https://jobs.ashbyhq.com/snowflake/46834516-7f0d-4b7d-be43-39c2852a9c83

## 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. Location: US-CA-Dublin | Workplace: Hybrid (3 days in office)

The Enterprise Technology (ET) Applications team builds the applications and AI agents that power Snowflake's go-to-market (GTM) engine. Our products help account executives, solution engineers, sales leaders, partner teams, and revenue operations understand customers, prioritize work, and act quickly from one connected, Salesforce-integrated experience.

AS A STAFF SOFTWARE ENGINEER, FULL STACK AT SNOWFLAKE, YOU WILL:

- Lead the design and delivery of full-stack applications and agentic systems across React/Next.js frontends, backend-for-frontend services, Snowflake data models, and Salesforce integrations.
- Build AI seller workspaces that unify account health, consumption trends, pipeline, use cases, and recommended next actions, powered by Snowflake Cortex AI.
- Architect and own conversational GTM agents and their harness, including the agent loop, tool and MCP server design, context and memory management, permissions, and sandboxed execution.
- Implement guardrails, human-in-the-loop approvals, evaluations, and observability so every agent recommendation shows its evidence, data freshness, and source.
- Design secure, production-grade Salesforce integrations and write-back using REST, Bulk, Composite, Streaming, and Platform Event APIs, while preserving record ownership, sharing rules, field-level security, and audit history, and lead security reviews covering identity, OAuth, and least-privilege access.
- Build reliable pipelines between Salesforce and Snowflake, including change capture, near-real-time sync, data-quality checks, and certified GTM data products.
- Set engineering standards for code quality, testing, CI/CD, release management, and AI-native development workflows, and mentor engineers through design and code reviews.

OUR IDEAL STAFF SOFTWARE ENGINEER, FULL STACK WILL HAVE:

- Bachelor's or Master's degree in any field, or equivalent practical experience.
- 8+ years of software development experience, including staff-level or equivalent technical leadership.
- Experience shipping agentic or LLM-powered applications to production, including retrieval, tool use, evaluation, guardrails, and human-in-the-loop controls.
- Strong TypeScript/JavaScript skills with React/Next.js, plus backend experience in Node.js, Python, or Java.
- Hands-on Salesforce Sales Cloud or Service Cloud integration experience, including APIs, OAuth, the object model, governor limits, and integration patterns.
- Strong SQL, data modeling, and database fundamentals across CRM, pipeline, bookings, and customer usage data.
- Experience with distributed systems, containers, cloud infrastructure, CI/CD, and observability.
- Clear communication and experience partnering directly with Sales and Revenue Operations.

## BONUS POINTS FOR THE FOLLOWING:

- Experience with Snowflake, Snowpark Container Services, Snowflake Cortex AI, or Model Context Protocol (MCP) servers.
- Experience building agent evaluation harnesses such as golden datasets, LLM-as-judge, and trace replay, plus tracing, cost, and latency monitoring.
- Working knowledge of Salesforce Flows, Apex, permission sets, Platform Events, and Omni-Channel routing.
- Familiarity with GTM processes such as territory and account planning, forecasting, deal registration, and pipeline inspection, and tools such as Gong, Outreach, or Clari.
- Experience using AI coding assistants such as Claude Code to accelerate code generation, refactoring, and reusable development workflows.

WHY JOIN OUR TEAM AT SNOWFLAKE? You'll work at the intersection of engineering, go-to-market, and agentic AI, building the agents and the harnesses behind them that directly shape how Snowflake's sellers, partners, and operators work every day. You'll build on Snowflake's own AI Data Cloud, ship to real users quickly, and join a collaborative team that values technical excellence, continuous learning, and measurable business impact.

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

## Other roles at Snowflake

- [Senior FP&A Manager - Partnerships & Investments](https://feeny.ai/job/senior-fp-a-manager-partnerships-investments-snowflake-bellevue-6wthq3165gms) — Bellevue, WA
- [Principal Software Engineer - Observability](https://feeny.ai/job/principal-software-engineer-observability-snowflake-menlo-park-1haf6vtfhmm3) — Menlo Park, CA
- [Senior Solution Engineer, Enterprise Acquisition](https://feeny.ai/job/senior-solution-engineer-enterprise-acquisition-snowflake-sydney-h27kt3kt1v2b) — Sydney, Australia
- [Senior Solution Engineer, Enterprise Acquisition](https://feeny.ai/job/senior-solution-engineer-enterprise-acquisition-snowflake-melbourne-h51g62p35jry) — Melbourne, Australia
- [Account Executive](https://feeny.ai/job/account-executive-snowflake-new-york-h7ttj6zgj7rt) — New York, NY
- [Account Executive, Commercial](https://feeny.ai/job/account-executive-commercial-snowflake-bellevue-r0k07edx7vv5) — Bellevue, WA
- [Account Executive, Commercial](https://feeny.ai/job/account-executive-commercial-snowflake-denver-sd92fn8xayve) — Denver, CO
- [Account Executive - Acquisition](https://feeny.ai/job/account-executive-acquisition-snowflake-germany-m83hj8tqxymr) — Germany
- [Partner Sales Director - VAR](https://feeny.ai/job/partner-sales-director-var-snowflake-paris-j06pp22yk3y1) — Paris, France
- [Senior Solutions Engineer, Observe](https://feeny.ai/job/senior-solutions-engineer-observe-snowflake-new-york-7rgzk1tnmgsv) — New York, NY