Kinobi AI is a Singapore-based company dedicated to transforming higher education by helping universities go beyond just academics. We focus on holistic student success, leveraging AI-powered solutions to ensure that students are well-prepared for their careers. We're looking for individuals who share our vision and want to make a meaningful impact in the future of education.
Our purpose is to:
Empower institutions to guide their beneficiaries toward meaningful employment opportunities through AI-driven solutions
Demonstrate to the world that a global AI-powered B2B SaaS enterprise can be successfully built from Southeast Asia
About the role
As a Business Analyst, you will play a key role in designing and shaping end-to-end SaaS solutions for Kinobis clients. This role bridges business requirements and technical execution — ensuring proposed solutions are commercially viable, functionally clear, and technically feasible.You will work closely with Sales, Product, Engineering, and Implementation teams across pre-sales and early delivery phases. While grounded in strong business analysis fundamentals, this role also involves contributing to high-level solution architecture and supporting technical solution decisions.This position is ideal for candidates with Business Analyst, Pre-Sales, or Technical Consulting backgrounds who want to deepen their exposure to solution architecture in a SaaS environment.
Responsibilities
Solution Architecture & Technical Ownership
Design and define high-level solution architectures, including system components, integrations, data flows, and deployment models.
Gather, analyze, and validate client business, functional, and technical requirements, including non-functional requirements such as scalability, security, performance, and reliability.
Assess technical feasibility, risks, and constraints of proposed solutions, and recommend architectural approaches and mitigation strategies.
Act as the technical authority during pre-sales and solutioning, ensuring solutions align with product capabilities and implementation realities.
Functional Solutioning & Delivery Readiness
Translate solution architectures into clear functional scopes, assumptions, and constraints to support smooth handover from pre-sales to implementation.
Guide proof-of-concepts (POCs) and demos, ensuring functional workflows and technical designs accurately reflect real-world use cases.
Collaborate closely with Product Managers and Implementation teams to ensure solutions are deliverable, scalable, and operationally sound.
Support audit and compliance requirements (e.g., ISO 27001, IMDA) by aligning solution designs with required security and regulatory standards.
Commercial & Operational Support
Support proposal development and RFP responses by contributing architectural inputs, functional solution narratives, and technical justifications.
Maintain clear and structured solution documentation to support internal alignment and execution.
Provide insights and feedback to improve solution effectiveness, proposal success, and client satisfaction.
Conduct structured follow-ups and engagements with potential clients to clarify business, functional, and technical requirements, validate solution assumptions, and refine solution scope throughout the pre-sales and solutioning process.
Requirements
1-3 years of experience in SaaS, solution architecture, pre-sales engineering, technical consulting, or solution-focused roles.
Strong understanding of SaaS platforms, system architecture concepts, and integration patterns.
Experience gathering and translating business, functional, and technical requirements into viable solution designs.
Ability to reason about non-functional requirements such as scalability, security, performance, and reliability.
Comfortable balancing technical design with functional and operational considerations.
Strong English communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Comfortable working closely with cross-functional teams (Sales, Product, Implementation).
Highly organized, detail-oriented, and able to manage multiple solution streams in parallel.
Familiarity with AI-enabled solutions, data platforms, or process automation is a plus.
Exposure to RFPs, client-facing solutioning, or enterprise delivery environments preferred.
Self-driven, proactive, and motivated to grow in both technical depth and operational impact.
Additional Information: