Head of Agentic Revolution

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..

Venice is growing fast. Revenue is accelerating, our team is expanding, and the demands on every department, from engineering to marketing to operations to finance, are scaling with us.

We believe the next leap in our company’s efficiency won’t come from hiring our way out of every bottleneck. It will come from giving every team the tools to build and deploy AI agents that multiply what they can accomplish.

We’re hiring a Principal Applied AI Engineer to build the internal agent platform that makes this possible across the entire company. This is not a role scoped to engineering tooling alone. The departments that need the most help right now, marketing, support, communications, operations, and finance, are outside of engineering. You’ll build the platform they use to help themselves.

This is a solo individual contributor role to start, reporting directly to Jesse Proudman, Co-Founder. As the company grows and the platform matures, this role has a clear path to building and leading a team.

You’ll be the person who decides how Venice builds its internal agent platform: whether that means wiring up commercial solutions (as long as they run on Venice’s inference), building orchestration frameworks from the ground up, or some combination. The space is novel. There may not be commercial solutions yet. That’s fine. You’ll help us figure it out.

Build the internal agent platform. Design and ship the foundational infrastructure that teams across the company use to create, deploy, and manage their own AI agents. This includes agent templates, shared tool libraries, retrieval systems, orchestration patterns, eval pipelines, and the abstractions that let non-engineers assemble useful agents without writing code. The goal: departments growing their output via agents they built on your platform, not solely via headcount.

Decide the build-vs-orchestrate strategy. Evaluate commercial agent platforms, frameworks, and tools. Where existing solutions work and can run on Venice’s inference, use them. Where they don’t exist or don’t meet our needs, build from the ground up. You own this decision space.

Dogfood Venice’s own platform. The internal agent platform you build should run on Venice’s inference API and models. We are our own first customer. This isn’t a branding exercise; it’s a product development advantage. The agents your colleagues deploy internally will surface edge cases, performance needs, and feature gaps that make Venice’s platform better for external developers too.

Solve the data privacy problem. This is our biggest constraint. Venice’s brand is built on privacy and user sovereignty. Our internal agents must operate without leaking company data to third-party model providers. You’ll architect the platform so that agents run on our own inference, data stays within our infrastructure, and access controls prevent cross-department data leakage. This is not an afterthought;

it is a core design requirement from day one.

Make it usable by non-engineers. The…