Head of Product (Startup)

We’re building the Port City of AI, in which millions of individuals, third party apps, and AI agents gather, interact, and access sophisticated AI resources on a private and permissive foundation. Our mission is to make artificial intelligence approachable and useful in everyday work—bridging the gap between cutting-edge research and practical, real-world impact.

We’re a fast-moving startup where every team member is expected to make a clear impact. Our culture is rooted in curiosity, ownership, ethical principle, philosophy, and collaboration—whether we’re designing better AI workflows, supporting our growing community, or shaping the future of human-AI interaction.

and maintaining an edge in the rapidly evolving world of agentic machine intelligence. 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.Today, decisions about portfolio composition, inference performance, model configuration, and lifecycle management are distributed across teams with no single accountable owner.

We're hiring a Product Manager, Models to be that single owner of the model portfolio across all of Venice's products: selection, reliability, configuration, and lifecycle management. This is not an ML research role; You'll stay on top of the industry — which models are launching, which are highly anticipated, which excel at which use cases — and recommend internally what Venice should support. You are the single source of truth for everything the company needs to know about every model that exists and the owner of this internally-serving product.

This role reports to the VP of Business Operations and works closely with product managers, engineering, marketing, and the leadership team. Decide which models live on the platform — and which don't. Define tiering across free, Pro, Pro Plus, Max, and maintain the offerings matrix by product line (Chat, API, Studio). Establish launch processes including pre-release testing, configuration review, documentation, and launch communication. Define config standards, uptime SLAs, deprecation policies, and runbooks. Model metadata and discovery should be accessible and consistent.

Monitor uptime and fallback performance, triage incidents, lead post-mortems, and ensure load-bearing models have appropriate provider redundancy. The model landscape doesn't sit still — providers change pricing, discounts appear and expire, reliability shifts, and new releases land weekly. You won't just report drift — you'll recommend the change, drive the decision, and make sure it ships.

Convert evaluation results, usage patterns, and customer feedback into prioritization recommendations. Evaluate and benchmark models to ensure they meet Venice's uncensored, privacy-first standards before they ship.

You'll work closely with Engineering, API, Business Intelligence, Product Management, and Marketing. You have 5+ years in product management, ideally across infrastructure, dev tools, or AI/ML platforms. You can triage model and configuration issues before escalating to engineering, and you understand the nuances of model performance metrics and have the ability to dig deep into error root causes.

You think in unit economics. You can reason about COGS and margin per inference request, and make cost/speed trade-off decisions with incomplete data. APIs, inference systems, observability data, evaluation tooling, and cross-functional launch processes. Bonus: experience model configurations or AI infrastructure.

You understand what uncensored model testing and privacy-first positioning require operationally, and believe in their product advantages.