Conduit Venture Labs Inc.
Chief Technology Officer (CTO) / Head of Engineering
Conduit Venture Labs Inc., Los Angeles, California, United States, 90079
About
We are revolutionizing the audiobook industry by integrating generative AI conversation capabilities into every book. We're building a platform that allows listeners to engage in real-time conversations with their favorite authors, educators, coaches, and experts, creating a highly personalized and immersive reading experience. For authors, we offer scalable audience engagement, actionable data insights, and significantly higher royalties.
The Role
We're seeking a visionary and hands-on Chief Technology Officer (CTO) / VP of Engineering to join our founding team and lead the development of our multi-faceted, AI-enabled audiobook platform. In this role, you will be responsible for translating our ambitious vision into technological reality, building and leading our engineering and AI/ML teams, and driving innovation across our subscription, content delivery, and AI analytics systems.
Key Responsibilities
Develop and execute the technical strategy for our platform, aligning it with our business goals and multi-tiered product vision
Lead the architecture, design, and implementation of our AI-enabled audiobook platform, including: Subscription management system
Secure paywall and content delivery infrastructure
AI-driven analytics and recommendation engine
Build and manage high-performing engineering and AI/ML teams
Drive innovation in AI technologies, particularly in natural language processing, conversational AI, and predictive analytics
Collaborate closely with the Product team to ensure seamless integration of technology across all platform features
Make key decisions on technology stack, infrastructure, and scalability to support multiple revenue streams
Establish best practices for software development, code quality, and technical documentation
Implement robust data collection and analysis systems to power our author-facing AI teammate
Ensure platform security and compliance, particularly for payment processing and user data protection
Stay abreast of emerging technologies and industry trends, particularly in AI, machine learning, and subscription-based platforms
Work closely with the CEO and other executives to shape the overall company strategy and explore new technological opportunities
Qualifications 8+ years of experience in software engineering, with at least 5 years in leadership roles
Strong background in AI and machine learning, particularly in NLP, conversational AI, and predictive analytics
Extensive experience with Retrieval-Augmented Generation (RAG) architecture and its implementation in large-scale AI systems
Proven track record of building and scaling consumer-facing subscription platforms
Experience developing secure payment systems and content delivery infrastructures
Expertise in designing and implementing data pipelines for AI-driven analytics and recommendations
Experience leading engineering teams in fast-paced startup environments
Deep understanding of cloud technologies and scalable architecture to support multiple product offerings
Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders
Strong product sense and user-centric approach to technology development
Experience with audio technologies is a plus
Passion for books, audiobooks, and the future of digital content
We are an Equal Opportunity Employer and consider applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law.
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Lead the architecture, design, and implementation of our AI-enabled audiobook platform, including: Subscription management system
Secure paywall and content delivery infrastructure
AI-driven analytics and recommendation engine
Build and manage high-performing engineering and AI/ML teams
Drive innovation in AI technologies, particularly in natural language processing, conversational AI, and predictive analytics
Collaborate closely with the Product team to ensure seamless integration of technology across all platform features
Make key decisions on technology stack, infrastructure, and scalability to support multiple revenue streams
Establish best practices for software development, code quality, and technical documentation
Implement robust data collection and analysis systems to power our author-facing AI teammate
Ensure platform security and compliance, particularly for payment processing and user data protection
Stay abreast of emerging technologies and industry trends, particularly in AI, machine learning, and subscription-based platforms
Work closely with the CEO and other executives to shape the overall company strategy and explore new technological opportunities
Qualifications 8+ years of experience in software engineering, with at least 5 years in leadership roles
Strong background in AI and machine learning, particularly in NLP, conversational AI, and predictive analytics
Extensive experience with Retrieval-Augmented Generation (RAG) architecture and its implementation in large-scale AI systems
Proven track record of building and scaling consumer-facing subscription platforms
Experience developing secure payment systems and content delivery infrastructures
Expertise in designing and implementing data pipelines for AI-driven analytics and recommendations
Experience leading engineering teams in fast-paced startup environments
Deep understanding of cloud technologies and scalable architecture to support multiple product offerings
Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders
Strong product sense and user-centric approach to technology development
Experience with audio technologies is a plus
Passion for books, audiobooks, and the future of digital content
We are an Equal Opportunity Employer and consider applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law.
#J-18808-Ljbffr