We use cookies to improve your experience and measure how our site is used. Learn more.
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.
Snowflake 소개
Snowflake는 에이전틱 엔터프라이즈(Agentic Enterprise) 시대를 이끌어가고 있습니다. 이러한 새로운 시대를 함께 만들어가기 위해, 우리는 모든 분야에서 AI 네이티브(AI-Native) 사고방식을 갖춘 인재를 찾고 있습니다. 단순히 AI 도구를 사용하는 수준을 넘어, AI를 신뢰할 수 있는 협업 파트너로 활용하며 문제 해결과 성과 창출을 가속화할 수 있는 사람을 기대합니다.
우리는 빠르게 변화하는 역동적인 환경에서 겸손한 자세로 협업하고, 실험적인 사고방식을 바탕으로 새로운 기술을 빠르게 검증하며 보다 단순하고 강력한 방법으로 성과를 창출하는 인재를 선호합니다. Snowflake에서 여러분의 역할은 단순히 주어진 업무를 수행하는 것이 아니라, 미래의 업무 방식 자체를 새롭게 정의하는 데 기여하는 것입니다.
포지션 소개
Senior Solution Engineer는 한국 내 기존 엔터프라이즈 고객을 담당하는 전략적 기술 리더 역할을 수행합니다. 주요 담당 산업은 제조산업(Manufacturing) 및 Hi-Tech 부문입니다.
본 포지션은 Account Executive와 긴밀하게 협력하여 고객의 Snowflake 활용도 증대, 워크로드 확장, 그리고 다양한 사업 부문(Line of Business)으로의 성장을 지원합니다. 또한 고객사의 기술 및 비즈니스 의사결정권자들에게 신뢰받는 기술 자문가(Trusted Advisor)로서, Snowflake를 데이터, 분석 및 AI 전략의 핵심 플랫폼으로 활용할 수 있도록 안내합니다.
이 역할은 고객 중심(Customer-First)의 대외 활동(Field-Facing) 포지션으로, 깊이 있는 기술 역량과 산업에 대한 이해, 그리고 영향력 있는 아키텍처를 설계하고 효과적으로 전달할 수 있는 능력을 요구합니다.
주요 업무 (Key Responsibilities)
기존 고객 계정 활용 확대 (Drive Adoption in Existing Accounts)
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
Health Insurance
Dental Insurance
Vision Insurance
Pet Insurance
Life Insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Mental Health Benefits
Employee Assistance Program
Fitness Stipend
Wellness Programs
401(k) / Retirement Plan
Employee Stock Purchase Plan
Equity / RSUs
Performance Bonus
Parental Leave
Adoption Leave
Fertility Benefits
Unlimited PTO
Learning & Development Budget
It is structured hybrid. Most roles are tied to a specific office and expect roughly three days a week on-site, and around three-quarters of open jobs are office-anchored. A minority of roles are explicitly tagged remote, but there is no company-wide remote policy, so eligibility is decided role by role.
Roles are location-specific and spread across more than 25 countries, including the US, UK, Australia, India, Germany, Poland, Canada, Japan, France, and Singapore. The heaviest concentration of jobs sits in US hubs such as Menlo Park and Bellevue, plus London. Positions are city- or country-locked rather than work-from-anywhere.
Snowflake offers a 401(k) and a Roth 401(k) option, but it does not provide an employer match. This is worth factoring into total compensation, since the package leans heavily on equity and bonus rather than retirement matching.
Compensation is geography-based and certified by Fair Pay Workplace, an external pay-equity auditor. Cash is paired with substantial equity through new-hire grants, an Employee Stock Purchase Plan, and a quarterly bonus or commission program, with RSUs vesting over four years.
Highlights include unlimited PTO, generous parental leave (26 weeks maternity, 12 weeks paternity) with adoption and fertility support, an HSA with employer contribution, on-demand mental health and wellness programs, and ergonomic work-from-home equipment provided globally.
It suits data and AI engineers, data scientists, and product people who want to work across the full data lifecycle at large scale and value equity-heavy pay. Sales roles are numerous and well-compensated, though reviewers there report more pressure and crunch than in engineering.
Pay Transparency
Commuter Benefits
Sick Days
Military Leave
Paid Holidays
Bereavement Leave
Company Equipment
Free Snacks & Drinks
Employee Product Discount
Employee Resource Groups