Назад
1 день назад

Senior Solution Engineer (AI)

165 000 - 216 562$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Solution Engineer (SQL/Python): Driving the adoption of Snowflake's data cloud by solving complex customer problems and leading technical sales cycles with an accent on data architecture, AI integration, and value-based demonstrations. Focus on designing Proof of Concepts (PoCs), performing deep architectural discovery, and aligning cloud data solutions with business objectives.

Location: Must be based in the US. Hybrid in Chicago, IL, or Remote in IL, IN, MI, or WI.

Salary: $165,000 – $216,562 (Base), $240,000 - $280,000 OTE

Company

Snowflake is a cloud-native data platform redefining data warehousing and powering the era of the agentic enterprise.

What you will do

  • Present Snowflake's technology and vision to technical contributors and executive audiences.
  • Lead the technical sales cycle from initial demonstrations to Proof of Concepts (PoCs) and final implementation.
  • Analyze customer architectural frameworks to design optimal Snowflake data architectures.
  • Maintain deep expertise in competitive landscapes, ETL, and cloud data technologies (Data Lake, Data Mesh, Data Fabric).
  • Collaborate with Product Management and Engineering to drive continuous product and marketing improvements.

Requirements

  • 7-8 years of industry experience, with at least 5 years in a pre-sales environment.
  • Hands-on expertise with SQL, SQL analytics, and Python.
  • Broad experience with large-scale Database/Data Warehouse technology, ETL, and cloud technologies.
  • Must be based in the US; remote options are specifically limited to IL, IN, MI, or WI.
  • Proven ability to leverage AI code generation tools to accelerate productivity.
  • University degree in Computer Science, Engineering, Mathematics, or related fields.

Nice to have

  • Masters degree in Data Science or Business Administration.

Culture & Benefits

  • Competitive base salary, variable compensation, and equity packages.
  • Comprehensive health, dental, and vision insurance.
  • 401(k) plan and flexible PTO.
  • Dedicated professional development budget.
  • Environment that values AI-native thinking and an experimental mindset.

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