Associate Solution Engineer
Snowflake is hiring an Associate Solution Engineer in Tokyo, Japan. Level rates it ; you can apply on Snowflake.
Level's read on this job
- Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
- The posting mentions SQL, pre sales and solution engineering among its tools and skills.
- Level classes it as a junior role.
- Snowflake has 354 other open roles on Level.
AI in this role
Support sales and technical validation of Snowflake data and AI platforms as an Associate Solution Engineer.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
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Why Snowflake ?Snowflakeはデータ革命の最前線に立ち、世界最高のデータとアプリケーションのプラットフォームの構築に取り組んでいます。私たちのミッションはデータサイロ化を解消して、「世界中のデータをモビライズすること」を目指しております。急成長していくデータの未来を私たちと共に築いていきましょう!
Solution Engineering team’s Mission ?Solution Engineeringチームは、営業チームやパートナーと密に連携しながら、お客様の課題を理解し、Snowflakeの価値をわかりやすく伝え、案件形成から技術検証、成約後の活用イメージづくりまでを支援する役割を担います。Associate Solution Engineerには、経験豊富なSEや営業メンバーと協業しながら、顧客への提案活動、デモ支援、技術的な学習と実践を通じて成長していくことを期待します。
The Impact You will Make営業チームやSenior SEと連携し、見込み客や既存顧客に対するプレゼンテーション、デモ、技術説明を支援する。
顧客の業務課題や技術要件を理解し、Snowflakeの価値と結びつけて提案できるようになる。
PoCや技術検証の準備・実行を支援し、営業サイクル全体を通じてお客様の意思決定を後押しする。
データ、クラウド、AIの進化を学び続け、競合技術や関連ベンダーへの理解を深める。
製品、エンジニアリング、マーケティングなどの社内チームと協力し、現場の学びや顧客の声を共有する。
日本のSE組織における標準的な選考・育成の期待に沿って、技術力、プレゼン力、顧客提案力を段階的に高めていく。
必須要件
ITに関わる業務を3年以上経験された方
SaaS、クラウド、データプラットフォーム、アナリティクス、AI関連領域に強い関心を持ち、継続的に学習できる方
顧客または社内向けに、技術的な内容をわかりやすく説明しようとする姿勢をお持ちの方
データベース、データウェアハウス、ETL、アナリティクス、クラウドテクノロジーに関する基礎理解、または早期にキャッチアップできる素地をお持ちの方
SQLおよびデータ活用に関する基礎知識、またはハンズオンで学んだ経験をお持ちの方
顧客の課題を理解し、ソリューション提案へつなげようとする思考力をお持ちの方
コンピュータサイエンス、エンジニアリング、数学、または関連分野の学位、もしくは同等の実務経験をお持ちの方
日本語に堪能で、英語での業務に抵抗がない方
周囲を巻き込みながら学び、One Teamで成果を出そうとする姿勢をお持ちの方
歓迎要件
プリセールス、ソリューション提案、Sales Engineer、Solution Engineer、コンサルティング、またはそれに近い経験
デモ、ハンズオン、PoC、技術検証、または顧客向けプレゼンテーションの経験
パブリッククラウド、BI、データ統合、AI/MLなどの周辺技術に関する知識
顧客接点のある環境で、技術とビジネスの両方に関わった経験
変化の速い環境の中で、自らキャッチアップしながら行動できる方
Free lunch at office
401K(企業型確定拠出年金)
RSU
Phone & Gym reimbursement
3 day Summer Vacation & 5 day Year-end Holidays
Paid Parental Leave
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
How we rate this
Associate Solution Engineer at Snowflake rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where pre sales was part of your work. What did you do?
- Tell me about a project where solution engineering was part of your work. What did you do?
- Tell me about a project where cloud platforms was part of your work. What did you do?
- Tell me about a project where data warehousing was part of your work. What did you do?
- Tell me about a project where client facing was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Pre Sales, Solution Engineering, Cloud Platforms, Data Warehousing, and Client Facing. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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