Snowflake

Solution Engineer

Snowflake
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16 hours ago
Tokyo, JapanSenior

Responsibilities

  • Present Snowflake technology and vision to prospect and customer executives and IT professionals.
  • Demonstrate the value of Snowflake technology through presentations, demos, and proofs of concept across the sales cycle.
  • Collaborate with sales teams and channel partners to understand customer needs, plan opportunity support, and help close deals.
  • Understand competitors, related technologies, and vendors and position Snowflake appropriately.
  • Work with product management, engineering, and marketing on product improvements and marketing activities.

Requirements

  • 5–8 years of industry experience, including at least 3 years in a presales environment.
  • Strong presentation skills for both technical audiences and executives, including impromptu whiteboard presentations and demos.
  • Broad experience with large-scale databases, data warehouse technologies, ETL, analytics, and cloud technologies.
  • Hands-on knowledge of SQL and SQL analytics.
  • Ability to connect specific customer business challenges with Snowflake solutions.
  • Bachelor’s degree in computer science, engineering, mathematics, or a related field, or equivalent experience.
  • Fluency in Japanese and English.

Benefits

  • Free lunch at the office.
  • 401(k)-style corporate defined-contribution pension plan.
  • Restricted stock units (RSUs).
  • Phone and gym reimbursement.
  • Three-day summer vacation and five year-end holidays.
  • Paid parental leave.

Tech Stack

SnowflakeSQL

Categories

Solutions Engineering
Snowflake

About Snowflake

10,000+ employees

Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.

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