Solution Consultant (Presales) - Enterprise Retail AI

About the role

WhaleWhale, a global enterprise AI company with headquarters in Singapore and over 500 enterprise clients, is looking for an experienced Solution Consultant (presales) to support its growing portfolio of enterprise retail customers. You will act as the technical advisor throughout the sales engagement, shaping solution direction, delivering compelling demonstrations and helping customers understand the value and operational impact of the AI-driven retail platform. You will work closely with Sales, Product, Engineering and Customer Success teams.

Key responsibilities

• Lead technical discovery sessions to uncover business challenges, system environments and solution requirements, then 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.
• Own technical proposals, including solution scope, architecture diagrams and technical responses for tenders, RFPs and RFIs.
• Build proof-of-concept plans with success criteria, deployment scope and measurable KPIs, and support field teams during technical validation, pilots and pre-contract success metrics.
• Partner with product and engineering teams to share market needs and influence roadmap prioritization, and stay current on industry trends, competitive intelligence and AI innovation in retail.

Required profile

• Bachelor's degree in Computer Science, Engineering, Information Systems or a related field.
• 2-5 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 such as store analytics, customer engagement and loss prevention.
• Fluent in English and Chinese, with excellent verbal and written communication skills.
• Self-starter who can adapt to a fast-paced, emerging market environment and works cross-functionally with product, engineering and sales teams.

Required skills

• Technical proficiency in AI, computer vision or data analytics solutions, able to articulate and demo product capabilities.
• Excellent communication and storytelling skills, able to simplify complex technology concepts for business audiences.