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Описание вакансии
Текст:
TL;DR
Associate Solution Engineer (AI) (SQL/Python/Data Cloud): Supporting technical customer engagements for the Snowflake AI Data Cloud through demos, proofs of concept, solution design, and implementation with an accent on customer communication, data technologies, and cloud solutions. Focus on connecting technical architectures to business outcomes, building technical champions, and collaborating with sales, product, engineering, and implementation partners.
Location: Remote within the United States
Salary: $105,000–$137,812 base salary annually. On-target earnings including base and commission: $140,000–$183,750.
Company
Snowflake develops the AI Data Cloud, helping customers unlock the potential of their data.
What you will do
- Present Snowflake technology, vision, and roadmap to technical and executive audiences.
- Support prospects and customers across the sales cycle through tailored demos, proofs of concept, solution design, and implementation.
- Connect technical solutions and architectures to customer business outcomes.
- Build trusted customer relationships and develop technical champions.
- Collaborate with Account Executives, Marketing, Product Management, Engineering, and technology partners.
- Represent Snowflake at industry and customer events while developing expertise through mentorship and hands-on learning.
Requirements
- Some experience in a technical role such as solution engineering, solutions architecture, or software development.
- Experience or interest in SaaS, data analytics, or cloud technology.
- Basic familiarity with SQL and/or Python, or strong willingness to learn.
- Strong written and verbal communication skills for diverse audiences.
- Customer-focused, collaborative approach and eagerness to develop technical and business skills.
- Ability to work remotely from the United States.
Nice to have
- Experience with modern data technologies such as Snowflake, Databricks, Fabric, BigQuery, Spark, containers, DevOps, orchestration tools, Git, or CI/CD.
- Understanding of AWS, Azure, GCP, and related cloud services.
- Familiarity with data science, machine learning workflows, or governance tools.
Culture & Benefits
- Collaborative, inclusive environment focused on curiosity, empathy, mutual respect, and growth.
- Comprehensive benefits including 401(k), health, dental, and vision coverage.
- Flexible paid time off and professional development budget.
- Base salary, variable compensation, and equity.
- Mentorship and on-the-job learning opportunities.
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