Venture Chief Technology Officer – Co-Founder

QAI Ventures

CTO leading the technological foundation and strategy for Q-Fraud startup focused on quantum-inspired fraud detection. Collaborating closely with the QAI Ventures team to build innovative solutions.

Posted 7/28/2026contractSingapore • 🇸🇬 SingaporeLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantum-inspired algorithms and practical machine learning applications, with a strong focus on system architecture and prototype development. Capable of leading technical teams and effectively communicating complex concepts to diverse stakeholders.

Highest-signal resume keywords

PhD Or Master’s Degree In Quantum PhysicsExperience In Building And Operating PoCsIn-Depth Understanding Of Quantum-Inspired AlgorithmsPractical Experience In Applied Machine LearningStrong Analytical Mindset

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantum ComputingSystem ArchitectureAlgorithm DevelopmentStatistical ModelingQuantitative OptimizationTechnical Problem DefinitionTechnology Readiness AssessmentPrototype DevelopmentIP Strategy UnderstandingPatent Logic

Soft Skills

Excellent Communication SkillsAnalytical MindsetPragmatic Focus On Implementation

Tools & Technologies

Test EnvironmentsSandbox Systems

Industry Keywords

Deep TechAIQuantum EngineeringApplied Machine LearningFinancial Independence

About the role

Key responsibilities & impact

Build the technological foundation of Q-Fraud and lead it long-term
Work closely with the CEO and QAI Ventures to validate the technical hypothesis, define the architecture, and implement the first PoC with a real-world partner
Lead the technical team and be responsible for product technology, shaping the company’s strategy together with the CEO
Technical problem definition and hypothesis structuring: What exactly does Q-Fraud solve, on what scientific foundation, and with what measurable differentiation
Evaluation and development of the technological unique selling proposition: quantum-inspired approaches, algorithmic differentiation, patentability
Assess Technology Readiness Levels and derive realistic development paths
Co-design and implement the first technical prototype and PoC system—hands-on, not delegated
Setup and manage test environments and sandbox systems for collaboration with partners
Responsibility for investment and PoC readiness from a technical perspective
Explain complex technological issues to non-technical investors, partners, and customers in an understandable way without losing substance
Building credibility with scientific and technological partners in the APAC region

Requirements

What you’ll need

Phd or Master’s degree in quantum physics, physics, computer science, quantum engineering, or a related field
Several years of experience as an engineer, architect, or technical leader in an applied deep tech, AI, or quantum computing environment
Proven experience in building and operating systems in a practical setting: PoCs, MVPs, or near-production prototypes, not just research projects
In-depth understanding of quantum-inspired or quantum-based algorithms and their practical applicability (e.g., QUBO formulations, VQC, QSVM, or comparable approaches)
Practical experience in applied machine learning, statistical modeling, or quantitative optimization; you have built and deployed models, not just designed them
Ability to realistically assess technical feasibility: What is possible today, what will be possible in 12 months, and what is still in the research phase
Experience in system architecture and the design of scalable technical solutions
Understanding of IP strategies, patent logic, and freedom-to-operate analyses
Strong analytical mindset combined with a pragmatic focus on implementation: Theory alone is not enough
Excellent communication skills with both 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—active from day one
Direct access to Tier-1 card networks, processors, issuers, and major banks already integrated into the process
Bridge financing for Phase 1; infrastructure for legal, HR, and governance; IP strategy; fundraising architecture
In-house QAI team support throughout the entire program (we actively participate!)
Practical support with capital raising and access to global investors for post-Phase 2 financing