Original listing text, shown exactly as published by the company.
Key Responsibilities
- Own end-to-end product development for core user experiences, including conversations, character interactions, and discovery
- Execute on product vision and ship ambiguous, open-ended experiences leveraging current and future AI model capabilities
- Develop deep user empathy by understanding motivations, behaviors, and emotional needs
- Partner closely with AI research to identify opportunities enabled by new model capabilities
- Collaborate with engineering, design, and community teams to deliver polished, intuitive products
- Build and iterate on creator-facing tools that expand the platform’s content ecosystem
- Partner with data science to measure engagement depth, product quality, and user satisfaction
- Drive cross-functional execution, release coordination, and continuous improvement.
Key Requirements
- 5+ years of consumer product management experience
- Proven track record launching successful products from 0→1 or major evolutions at scale
- Strong intuition for products where engagement, session depth, and delight matter
- Ability to balance near-term execution with long-term product vision
- Strong design sensibility; experience in design or design-adjacent roles strongly preferred
- Comfort operating in ambiguity and partnering closely with engineering and research teams.
What Character.AI Is Looking For
Character.AI is seeking a “Product Architect”—a PM who values craft, taste, and intuition as much as execution. This role is ideal for someone who wants to define what AI entertainment feels like, not just optimize funnels or dashboards.
Ideal Candidate Profile
- A creative, taste-led PM or senior designer transitioned into product
- Background in entertainment, gaming, social, interactive media, or UGC platforms
- Strong aesthetic judgment and obsession with product polish
- Curious and conversant in AI/ML concepts, able to push research teams with the right questions
- Bias toward shipping high-quality experiences over incremental metric tweaks
