Job Description
Technology Innovation & Strategy
- Define and drive the Company’s technology roadmap and long-term innovation strategy.
- Identify, evaluate, and adopt emerging technologies that enhance product capabilities and operational efficiency.
- Lead technical research initiatives, feasibility studies, proof-of-concept projects, and prototype development.
- Monitor industry trends and technological advancements relevant to creator platforms, software engineering, intelligent systems, and content creation technologies.
- Advise executive management on technology investments, technical risks, and innovation opportunities.
Creator Platform & Product Development
- Lead the evolution of the Company’s game editor, creator tools, and supporting platform technologies.
- Drive improvements in creator workflows, content creation pipelines, development tools, and platform architecture.
- Collaborate with product and engineering teams to translate business requirements into scalable technical solutions.
- Establish engineering standards, software development best practices, and technical governance processes.
- Support the development of next-generation creator experiences that improve usability, efficiency, and content quality.
AI-Assisted Content Creation & Automation
- Research, evaluate, and implement AI technologies that enhance creator productivity and content production workflows.
- Drive the development of AI-assisted capabilities for 3D asset generation, character generation, environment generation, and procedural content creation.
- Explore AI technologies for animation generation, motion synthesis, auto-rigging, skinning, and character behavior generation.
- Research and support intelligent solutions for game logic understanding, gameplay generation, scripting assistance, and content authoring.
- Evaluate Large Language Models (LLMs), multimodal AI systems, generative AI technologies, and intelligent agents for practical integration into creator workflows.
- Lead initiatives to improve development efficiency through AI-powered automation and intelligent tooling.
Engineering Leadership
- Lead, mentor, and develop engineering and research team members.
- Manage technical planning, resource allocation, project execution, and delivery schedules.
- Foster a culture of innovation, collaboration, technical excellence, and continuous learning.
- Facilitate effective communication between engineering, product, and management teams.
Job Requirements
- Master’s Degree or PhD in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, or a related technical discipline.
- Minimum 10 years of experience in software engineering, system architecture, engineering research, or technology leadership roles.
- Proven experience leading engineering teams and delivering complex software development projects.
- Strong knowledge of software architecture, distributed systems, scalable platform development, and software engineering best practices.
- Experience developing software platforms, development tools, creator tools, content creation systems, workflow platforms, or technology products.
- Strong programming and technical problem-solving skills with experience in Python, Java, C++, C#, JavaScript, or similar technologies.
- Experience evaluating, adopting, and integrating emerging technologies into commercial software products.
- Familiarity with Artificial Intelligence, Machine Learning, intelligent automation, Large Language Models (LLMs), multimodal AI systems, or AI-assisted software solutions is highly preferred.
- Strong analytical thinking, research capability, and technical decision-making skills.
- Excellent communication, leadership, project management, and stakeholder management abilities.
Preferred Qualifications
- PhD in Computer Science or a related technical field.
- Experience leading technology innovation programs, engineering research initiatives, or advanced product development projects.
- Experience founding, scaling, or managing technology startups.
- Experience working with creator platforms, UGC ecosystems, development tools, content creation workflows, or interactive software products.
- Experience with Generative AI, LLMs, multimodal AI systems, AI agents, or AI-powered productivity tools.
- Experience with 3D asset generation, animation generation, motion synthesis, auto-rigging, skinning, procedural content generation, or related technologies.
- Experience applying AI technologies to improve product functionality, creator productivity, or operational efficiency.
- Demonstrated ability to bridge research, engineering, and product development to deliver commercial value.
