APAC AI Data Solutions Engineer (Presales)

World-Wide-Technology; Singapore; Hybrid; SGD 120,000 - 190,000; Full time

Benefits offered by this job

Health & wellbeing benefits

Financial benefits

Paid time off

Job summary

World Wide Technology (WWT) is seeking a seasoned AI & Data Solutions presales advisor based in Singapore. You will partner with account teams across APAC, guiding customers through data readiness, AI workloads, and value realization.

This is a regional role with global collaboration and occasional cross-region support. The ideal candidate has 3+ years in data engineering/science, strong Snowflake/Databricks experience, and excellent communication with executives.

Qualifications

• Minimum 3 years in data engineering and data science with hands-on data preparation, governance, and storytelling.
• Customer-facing sales experience in presales, consulting, or solutions engineering is required.
• Able to translate complex tech into business outcomes for executives.

Responsibilities

• Join account teams in APAC to deliver briefings, workshops, and architecture reviews.
• Guide data readiness for AI workloads including pipelines and analytics readiness.
• Bridge data engineering and data science discussions with customers.
• Support opportunities across AI Studio, Foundry, and Factory offerings.
• Create regional messaging and enable internal teams with best practices.

Skills

Strong communication

Sales experience

Presales advisory

Data engineering fundamentals

Cloud familiarity

Advisory mindset

Executive stakeholder storytelling

Team collaboration

Curiosity and learning

Lang English fluency

Education

Bachelor’s degree in CS/Data/Statistics

Tools

Snowflake

Databricks

Microsoft Fabric

Azure AWS Google Cloud

Job description

World Wide Technology (WWT) is seeking a seasoned AI & Data Solutions presales advisor based in Singapore. You will partner with account teams across APAC, guiding customers through data readiness, AI workloads, and value realization.

This is a regional role with global collaboration and occasional cross-region support. The ideal candidate has 3+ years in data engineering/science, strong Snowflake/Databricks experience, and excellent communication with executives.