Venice.ai

Compensation

Full Description

About Us Venice is the world’s leading consumer AI company built on principles of privacy, free speech, and user sovereignty. We’re building the Port City of AI, in which millions of individuals and AI agents gather, interact, and access sophisticated AI resources on a private and permissive foundation. Joining Venice means joining a team of unorthodox builders who believe in moving quickly, delivering a beautiful mass market consumer product that doesn’t spy on people or censor their ideas and questions., If you’re energized by big ideas, entrepreneurial spirit, individual empowerment, and the opportunity to help shape a fast growing company in the world’s hottest industry from the ground up, please reach out. Why We're Hiring Venice is growing fast. Every day we ship new products, expand into new modalities, and make design decisions that shape how people experience AI. We’re hiring a Staff Product Engineer to help build the next generation of Studio’s creator experience, with an emphasis on video and image creation. What You'll Do Build sophisticated, intuitive tools for creators working with generative video and images. Shape Venice Studio’s product experience alongside product and design—from identifying useful workflows to shipping them. Lead technical design and implementation across frontend and backend systems, including decisions about how creator tools work across web and desktop. Work closely with inference engineers to turn model capabilities into useful product features. Design within Venice’s privacy constraints, including decisions involving storage, encryption, and crossdevice experiences. Contribute to adjacent agentic experiences where creator tools and workflows overlap. Who You Are A staff level product engineer with deep TypeScript and React expertise and substantial handson Rust experience. Experienced building complex creator facing applications—ideally video editing or generation tools. Familiar with major generative video models and experienced integrating GenAI capabilities into an application. You don’t need to train models yourself. Comfortable making architecture decisions, writing code, and helping a team move from an ambiguous idea to a shipped product. Thoughtful about privacy and able to build compelling experiences within technical constraints. Collaborative with product, design, and engineering partners, while able to take initiative without waiting for detailed direction. Experience with WebAssembly, Tauri, Swift, cloud infrastructure, or cross-device storage.