Product Manager, AI Research

Job Summary

Required Qualifications

• Deep expertise in computer vision, particularly document understanding, OCR, and information extraction
• Strong understanding of modern NLP techniques, especially those applicable to entity recognition, name matching, and contextual understanding
• Experience designing and implementing high-assurance AI systems with appropriate verification, validation, and explainability
• Demonstrated ability to translate research into working prototypes and production systems
• Expertise in LLM behavior engineering for large language models and multimodal AI systems
• Demonstrated ability to design and implement effective evaluation frameworks for AI models
• Experience with systematically improving AI model performance through iterative testing and refinement
• Applied Research experience in Computer Science, Electrical Engineering, or related field
• Publication record in relevant research areas is a plus
• Entrepreneurial mindset with the ability to operate independently and build from first principles
• Excellent communication skills with ability to explain complex technical concepts to both technical and non-technical audiences

Desired Qualifications

• Experience working on regulated applications of AI, particularly in fintech, identity verification, or compliance
• Knowledge of formal verification techniques for AI and machine learning systems
• Familiarity with challenges specific to identity documents, including cross-lingual processing, security feature verification, and fraud detection
• Track record of building applications that balance performance with interpretability requirements
• Experience with hybrid architectures that combine knowledge bases with learned capabilities
• Product management experience with AI-powered solutions in enterprise environments

Additional Requirements

• Only applicants from regulated sectors such as fintech, identity verification, or compliance will be considered