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:
- All interviews and communication will be conducted in English.
- Only shortlisted candidates will be contacted.