Venture Chief Technology Officer – Co-Founder

QAI Ventures

. Serve as technical co-founder and designated long-term CTO of Q-Fraud .

Posted 9/21/2026contractSingapore • SingaporeLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantum physics and engineering, with a strong focus on developing and implementing scalable technical solutions and proof of concept systems. Proven ability to lead technical teams, assess technology readiness, and communicate complex concepts effectively to diverse stakeholders.

Highest-signal resume keywords

PhD Or Master’s Degree In Quantum PhysicsExperience In Quantum Computing EnvironmentSystem Architecture And Scalable SolutionsQuantum-Inspired Algorithms ExpertiseApplied Machine Learning And Statistical Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantum PhysicsQuantum ComputingSystem ArchitectureQuantum-Inspired AlgorithmsMachine LearningStatistical ModelingQuantitative OptimizationProof Of Concept DevelopmentTechnical Roadmap ImplementationTechnology Readiness Assessment

Soft Skills

Excellent Communication SkillsStrong Analytical MindsetEntrepreneurial FocusCollaboration With PartnersAbility To Balance Scientific Depth

Tools & Technologies

Data Access SystemsSandbox SystemsTest EnvironmentsTechnical PrototypesMVP Development

Industry Keywords

Deep TechAIVenture EnvironmentIntellectual Property StrategyPatent Logic

About the role

Key responsibilities & impact

Serve as technical co-founder and designated long-term CTO of Q-Fraud
Work with the CEO and QAI Ventures to validate the technical hypothesis
Define system architecture and implement the first proof of concept with a real-world partner
Lead the technical team from Phase 2 onward
Own product technology and shape company strategy with the CEO
Define and implement the technical roadmap from validation to scalable product
Make autonomous decisions on technology stack, hardware dependencies, and scaling logic
Ensure technical feasibility at each development stage
Define scientific problems and structure hypotheses
Evaluate quantum-inspired approaches, algorithmic differentiation, and patentability
Develop IP strategy with external partners
Assess Technology Readiness Levels and realistic development paths
Demonstrate scientific robustness to customers, investors, and hardware partners
Co-design and implement the first technical prototype and PoC system hands-on
Set up and manage test environments and sandbox systems
Coordinate with PoC partners on data access, system integration, and results analysis
Translate PoC insights into product architecture and scaling decisions
Own technical investment and PoC readiness
Explain complex technology to investors, partners, and customers
Own technical aspects of pitch decks, data rooms, and due diligence
Build credibility with scientific and technology partners in APAC
Collaborate with quantum hardware, university, and research institute partners

Requirements

What you’ll need

PhD or Master’s degree in quantum physics, physics, computer science, quantum engineering, or a related field; quantum physics must have been a central component of the education
Several years of experience as an engineer, architect, or technical leader in an applied deep tech, AI, or quantum computing environment
Proven experience building and operating systems in a practical setting, including PoCs, MVPs, or near-production prototypes
Experience in a startup, scale-up, or venture environment is a strong plus
In-depth understanding of quantum-inspired or quantum-based algorithms, such as QUBO formulations, VQC, QSVM, or comparable approaches
Practical experience in applied machine learning, statistical modeling, or quantitative optimization; built and deployed models
Ability to realistically assess technical feasibility
Experience in system architecture and scalable technical solutions
Understanding of IP strategies, patent logic, and freedom-to-operate analyses
Desire to build and technically lead a company long term
Strong analytical mindset with pragmatic implementation focus
Ability to balance scientific depth with entrepreneurial reality
Excellent communication skills with technical and non-technical counterparts
Financial independence for at least 12 months without a salary from the venture—a strict requirement
Willingness to make a personal financial commitment to the venture
Fluency in English
Residence in or willingness to relocate to Singapore on an ad hoc basis

Benefits

Comp & perks

In-house team with expertise in electronic payments, venture building, quantum physics, and communications
Direct access to Tier-1 card networks, processors, issuers, and major banks
Bridge financing for Phase 1
Infrastructure for legal, HR, and governance
IP strategy
Fundraising architecture
In-house QAI team support throughout the entire program
Practical support with capital raising and access to global investors for post-Phase 2 financing
Hybrid working model possible
Remote work possible between sprints