Models Czar
Venice AI provides private, uncensored AI services for text, image, video, audio, code, search, and agent development.
Funding history
About Venice AI
Venice AI is an AI platform focused on privacy and uncensored access to leading third-party and open-source models. Its products include conversational AI, image and video generation, audio and music tools, code assistance, web search, and an OpenAI-compatible API for agents and multimodal applications. Privacy features include anonymization, zero data retention for self-hosted models, trusted execution environments, and end-to-end encryption. The platform offers free access alongside Pro, Pro+, and Max subscription tiers for creators, developers, and enterprises.
Skills
About the Role
You will be the single owner of Venice's model portfolio across Chat, API and Studio. You'll decide which models to offer, define tiering, set launch processes, drive reliability and monitor providers for drift. You'll map models to use cases with each product's PM, scope new model products, and turn evaluation results and user feedback into roadmap recommendations.
Requirements
- 10+ years in product management, ideally across infrastructure, dev tools or AI/ML platforms
- Technical fluency to triage model and configuration issues and understand model performance metrics
- Ability to reason about COGS and margin per inference request
- Experience operating in ambiguous, fast-moving environments
- Comfort with APIs, inference systems, observability data, evaluation tooling and launch processes
- Alignment with uncensored model testing and privacy-first positioning
Responsibilities
- Own the model portfolio end to end and decide which models live on the platform
- Define tiering across free, Pro, Pro Plus and Max and maintain the offerings matrix by product line
- Establish launch processes including pre-release testing, configuration review, documentation and communication
- Define config standards, uptime SLAs, deprecation policies and runbooks
- Drive reliability: monitor uptime and fallback performance, triage incidents, lead post-mortems and ensure provider redundancy
- Instrument dashboards for TTFT, TPOT and cache hit rates
- Identify and scope new model product offerings and drive them from concept to launch
- Monitor the model catalog against provider offerings and recommend changes when drift occurs
- Own model strategy for each product with product managers
- Convert evaluation results, usage patterns and feedback into roadmap recommendations
- Benchmark models against uncensored, privacy-first standards before shipping
- Work across Engineering, API, Business Intelligence, Product Management and Marketing