Solution Consultant

Whale; Singapore; On-site; SGD 100,000 - 150,000; Full time

Job summary

Whale is seeking an experienced Solution Consultant (Presales) to support our expanding enterprise retail portfolio. You will act as the technical advisor across the sales cycle, shaping solution direction, delivering compelling demonstrations, and ensuring customers understand the value and impact of our AI-driven retail platform.

You’ll collaborate with Sales, Product, Engineering, and Customer Success teams to ensure technical alignment, solution success, and strong customer confidence before

Qualifications

• Bachelor's degree in CS/Engineering or related field.
• 5+ years in presales, solution architecture or technical consulting in SaaS/AI/ML.
• Strong understanding of enterprise retail operations.
• Fluent in English and Chinese; able to explain tech to business audiences.

Responsibilities

• Lead technical discovery sessions to uncover business challenges and requirements.
• Architect and position solutions based on customer needs and show demos.
• Own technical proposal development and build POC plans with KPIs.
• Support field teams during validation, pilots, and pre-contract metrics.

Skills

Presales

Solution architecture

Technical consulting

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field

Tools

AI/ML

Computer Vision

Data Analytics

Job description

Whale is a global enterprise AI company transforming operations for the world’s leading consumer businesses.

With HQ in Singapore and over 500 enterprise clients worldwide, Whale’s AI solutions power millions of daily interactions—helping businesses integrate intelligence, operations, and customer understanding at scale.

In 2025, Whale completed its Series C round, raising over $60M USD from strategic investors including Temasek, BOSCH Ventures, Linear Capital, MTR Lab, Singtel Innov8, MDI Ventures, and Gentree Fund.

Learn more: whale.sg

Role Description

We are seeking an experienced Solution Consultant (Presales) to support our expanding portfolio of enterprise retail customers. In this role, you will act as the technical advisor throughout the sales engagement lifecycle — shaping solution direction, delivering compelling demonstrations, and ensuring customers clearly understand the value and operational impact of our AI-driven retail platform.

You’ll collaborate closely with Sales, Product, Engineering, and Customer Success teams to ensure technical alignment, solution success, and strong customer confidence prior to closing.

Key Responsibilities

Technical Presales & Solutioning

• Lead technical discovery sessions to uncover business challenges, system environments, and solution requirements.
• Architect and position solutions based on customer needs.
• Develop and deliver tailored product presentations, demos, and solution walkthroughs for stakeholders from operations teams to C-suite executives.

Proposal & Technical Validation

• Own technical proposal development, including solution scope, architecture diagrams, and technical responses for tenders, RFPs, and RFIs.
• Build proof-of-concept (POC) plans including success criteria, deployment scope, and measurable KPIs.
• Support field teams during technical validation, pilot execution, and pre-contract success metrics.

Cross-Team Alignment & Market Expertise

• Partner with product and engineering teams to share market needs and influence roadmap prioritization.
• Stay current on industry trends, competitive intelligence, and AI innovation in retail.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 5+ years of experience in presales, solution architecture, or technical consulting in SaaS, AI/ML, computer vision, or enterprise retail software.
• Strong understanding of enterprise retail operations (e.g., store analytics, customer engagement, loss prevention).
• Technical proficiency in AI, computer vision, or data analytics solutions — able to articulate and demo product capabilities.
• Excellent communication and storytelling skills, with the ability to simplify complex technology concepts for business audiences.
• Fluent in English and Chinese, with excellent verbal and written communication skills.
• Self-starter mindset with adaptability to a fast-paced, emerging market environment.
• Experience working cross-functionally with product, engineering, and sales teams.