Чёткая senior-роль в ведущей компании на рынке data-платформ даёт опыт в облачных данных и AI, но работа тесно связана с продажами и регулярными визитами к клиентам.
?Фокус на клиентах
AI и данные
Понятные задачи
Современные технологии
Своя платформа
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Solution Engineer (AI): Helping customers evaluate, design, and implement Snowflake data cloud solutions with an accent on data architecture, analytics, cloud technology, and customer-facing technical communication. Focus on building proofs of concept, translating platform capabilities into business solutions, and developing technical champions across customer accounts.
Location: Israel; hybrid schedule with two days per week in the office and remaining time dedicated to customer visits
Company
Snowflake provides a cloud data platform and is developing AI-native ways to help organizations use and manage their data.
What you will do
Present Snowflake technology, vision, roadmap features, and functionality to executives, technical contributors, prospects, and customers.
Demonstrate Snowflake technology throughout the sales cycle, from demos and proofs of concept through design and implementation.
Understand customer needs, solve customer-specific business problems, and guide technical evaluations and platform selection.
Create technical champions within accounts to drive deals and achieve technical wins.
Collaborate with sales teams, channel partners, Product Management, Engineering, Marketing, and implementation partners on architectures, account strategies, and territory plans.
Represent Snowflake at industry and customer events while maintaining knowledge of competitive and complementary technologies.
Requirements
Experience in solution engineering or solution architecture in a SaaS environment, or relevant industry experience such as data science or data engineering.
Outstanding presentation skills for technical and executive audiences, including impromptu whiteboarding, presentations, and demos.
Understanding of and experience with data architecture, data analytics, and cloud technology.
Hands-on experience with SQL.
Ability to solve customer-specific business problems and apply Snowflake solutions.
Customer-facing communication skills across technical and executive audiences, both written and verbal.
Nice to have
Hands-on experience with Python.
Experience with modern data technologies such as dbt, Spark, containers, DevOps tooling, orchestration tools, and Git.
Experience with AI, data science, and machine learning technologies.
Culture & Benefits
Full-time employment in a hybrid role based in Israel.
Customer-facing work with regular office attendance and customer visits.
Collaborative environment focused on learning from successes and failures and giving and receiving feedback.
Opportunity to work with evolving Snowflake technology and contribute to product, marketing, and account strategy improvements.
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