Snowflake
Cloud Computing • Data Analytics • SaaS
Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.
5001 - 10000 employees
Founded 2012
☁️ SaaS
Senior Startup Solution Engineer
October 13
🏄 California – Remote
💵 $162k - $208k / year
⏰ Full Time
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor
Snowflake
Cloud Computing • Data Analytics • SaaS
Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.
5001 - 10000 employees
Founded 2012
☁️ SaaS
📋 Description
• Act as a Snowflake technical leader and trusted adviser for our startups • Provide expert architectural and technical guidance, specifically focusing on the Software Development Lifecycle (SDLC) and application design to enable rapid deployment on Snowflake • Work closely with Product Teams to gain in-depth knowledge of the latest features and provide direct support to startups • Build technical assets such as blog posts, Youtube videos, and quickstarts to accelerate the adoption of the startups • Evangelize joint solutions and product integrations by speaking at conferences, webinars, and other events • Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and messaging.
🎯 Requirements
• 7-8 years of industry experience with a minimum of 3 within a pre-sales/customer facing role • 5+ years of AI/ML experience and a solid understanding of the ecosystem • Proven experience in building applications and a strong understanding of the SDLC • Strong experience with Kubernetes and/or Snowpark Container Services • Deep experience with large-scale database, data warehouse technologies, or data platforms • Hands-on expertise with SQL and Python, along with experience in other relevant programming languages for application development • Understanding of cloud architectures and services from AWS, Azure, and Google • Outstanding presentation skills for both technical and business audiences • Top-notch organizational skills and ability to context switch seamlessly • University degree in computer science, engineering, mathematics or related fields, or equivalent experience • Bonus: experience working with or for startups.
🏖️ Benefits
• Health insurance • 401(k) matching • Flexible work arrangements • Remote work options • Professional development opportunities
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