--- title: 'Principal Software Engineer - Parameters & Experimentation at Snowflake' canonical: 'https://feeny.ai/job/principal-software-engineer-parameters-experimentation-snowflake-menlo-park-v9we5wdd9f96' type: 'job' last_seen: '2026-11-06' --- # Principal Software Engineer - Parameters & Experimentation at Snowflake - **Company:** [Snowflake](https://feeny.ai/companies/snowflake) - **Location:** Menlo Park, CA - **Compensation:** $264k–$380k - **Employment:** full-time - **Posted:** 2026-10-20 - **Last confirmed live:** 2026-11-06 - **Apply:** https://jobs.ashbyhq.com/snowflake/22e84b77-4bc4-4a31-99fb-f325ed9a9590 ## 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. Build the foundation for faster, safer innovation. Snowflake’s AI Data Cloud supports critical enterprise workloads across multiple clouds and regions. As AI accelerates software development, the volume and pace of change are outgrowing what engineers can manually review, coordinate, and monitor. Moving faster requires systems that make safe delivery and trustworthy experimentation an integral part of how engineering works. The Parameters & Experimentation team builds the configuration, feature-flagging, and experimentation infrastructure that enables Snowflake engineers to introduce capabilities, control exposure, and measure outcomes. We’re looking for a hands-on Principal Software Engineer I to help build its next generation, combining deep distributed-systems engineering with an AI-first approach to developer productivity and operational intelligence. You will shape technical direction, solve challenging systems problems, and lead initiatives across engineering teams. The opportunity is to build the next-generation platform so that increasing development velocity translates into faster customer value without relying on ever-increasing manual oversight. AS A PRINCIPAL SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL: - Architect and build distributed infrastructure. Design scalable configuration and feature-flag services with low-latency evaluation, clear consistency guarantees, fault isolation, and predictable behavior during failures. - Make a safety scale with change velocity. Build automated validation, targeted exposure, progressive rollouts, health-based guardrails, and dependable rollback. Reduce manual coordination while making changes observable, auditable, and recoverable. - Advance experimentation. Partner with engineering and data science teams to build reliable assignment, exposure tracking, and measurement infrastructure that helps teams evaluate changes and make evidence-based decisions. - Build and work AI-first. Make AI integral to how you design, implement, test, and operate software. Embed AI-powered capabilities into the platform for configuration discovery, risk assessment, rollout planning, and impact analysis. Establish rigorous evaluation, security, and reliability standards for these capabilities, and drive adoption of AI-first practices across the team. - Lead from architecture through adoption. Translate ambiguous needs into practical designs and milestones. Deliver intuitive APIs, libraries, and self-service tools; guide incremental migrations and simplify the full lifecycle from flag creation to retirement. - Raise the engineering bar. Write and review production code, diagnose complex failures, own operational outcomes, and mentor engineers. Influence across teams through technical depth, clear communication, and sound judgment. OUR IDEAL PRINCIPAL SOFTWARE ENGINEER WILL HAVE: - 12+ years of software engineering experience, including technical leadership of complex backend or infrastructure initiatives spanning multiple teams. - Deep experience designing, building, and operating large-scale distributed systems, with strong understanding of concurrency, consistency, caching, failure recovery, and performance. - Strong computer science fundamentals and hands-on proficiency in Java, Go, C++, or a comparable backend language, plus experience with AWS, Azure, or Google Cloud. - An AI-first engineering practice: you actively use AI throughout the software lifecycle and can demonstrate how it improves your execution, problem-solving, and quality. You are ready to build AI-powered platform capabilities and help others adopt this approach. - A track record of turning ambiguous problems into delivered systems, balancing architectural investments with incremental progress, and driving adoption across engineering organizations. - Clear written communication, low-ego collaboration, strong ownership, and experience mentoring senior engineers. - A degree in Computer Science or a related field, or equivalent practical experience. Especially relevant: Experience with feature-flag or configuration platforms, distributed control planes, progressive delivery, experimentation infrastructure, or AI-powered developer tools. Help build the systems that let engineers innovate faster than manual processes can support, with the evidence and safeguards that critical workloads demand. 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