You will lead the technical design and implementation of creator tools for generative video and images while collaborating with product and design teams. Additionally, you will work closely with inference engineers to integrate model capabilities into intuitive, privacy-focused product features.
You will lead the inference optimization team to define technical strategy and improve LLM inference performance at scale. This role involves hands-on development of GPU infrastructure, benchmarking, and optimizing inference engines to reduce latency and costs.
You will own the end-to-end data strategy, including infrastructure, sourcing, and querying to provide actionable business insights. You will partner across the organization to guide product roadmaps while strictly adhering to privacy-first data collection principles.
You will lead the architecture and technical foundation of Venice's data ecosystem to ensure data is organized, accessible, and trustworthy. This involves designing scalable data models, establishing canonical datasets, and building infrastructure that supports high-throughput analytical and operational queries.
You will own the end-to-end model portfolio, including selection, configuration, reliability, and lifecycle management across all Venice products. You will act as the central point of contact for model strategy, ensuring that the offerings meet user needs while maintaining high standards for performance and privacy.
You will contribute to building and scaling consumer AI products that prioritize privacy and user sovereignty. You will collaborate with a team of builders to bridge the gap between cutting-edge AI research and practical, real-world applications.
You will contribute to the operational success of a consumer AI company by designing efficient workflows and supporting the growing user community. The role involves bridging the gap between research and practical application to ensure the company's AI products deliver real-world impact.
Support general and administrative operations within a consumer AI startup. Contribute to team workflows and community engagement to help bridge the gap between research and practical application.
Develop and execute marketing strategies to promote privacy-focused AI products. Collaborate with the team to shape the future of human-AI interaction and support the growing user community.
Contribute to the development of privacy-focused AI products and agentic machine intelligence systems. Collaborate with a team of builders to bridge the gap between research and practical consumer applications.
