Senior Product Manager, AI Product

Crazy Maple Studio•Sunnyvale, CA

3h•$150,000 - $200,000•Hybrid

About The Position

ReelShort is seeking a senior product manager to define and launch a new AI companion and chat experience. This is a zero-to-one product where you will own the product strategy, roadmap, and specifications, collaborating with engineering and design partners across multiple time zones. The role requires defining the AI interaction model, including conversation design, persona systems, memory, safety, and monetization. You will also be responsible for driving execution, defining key metrics, and conducting market research.

Requirements

6+ years in product management, including at least 2 years shipping AI or LLM-powered consumer products
Experience with consumer content or entertainment products — you understand engagement loops, not only workflow tools
SaaS or platform background, including familiarity with subscription and in-app purchase mechanics
Exceptional written specification skills. We will ask for a PRD writing sample and weigh it heavily
Flexibility to work across multiple time zones, and the ability to collaborate with teams across countries, functions, and backgrounds to push projects to completion. An evening working window is a standing requirement of this role, not an occasional exception
Experience in a global-to-local environment, managing cross-functional stakeholders across multiple time zones
Comfort with ambiguity and a small team — this is a zero-to-one product with no existing playbook

Nice To Haves

Shipped an AI companion, character chat, or roleplay product a plus
Additional language capability a plus, though not required
Background in short-form video, webtoon, interactive fiction, or gaming a plus
Self-directed, low ego, and willing to do the unglamorous parts of a zero-to-one product

Responsibilities

Own product strategy and roadmap for the AI chat product, from concept through launch and iteration
Write the PRDs — specification quality is the primary deliverable of this role, because distributed partners work from your documents rather than from hallway conversation
Define the AI interaction model: conversation design, persona and character systems, memory, safety and content boundaries, and the monetization surface
Drive execution with engineering partners across time zones, including a standing evening working window for real-time overlap
Own the metrics: retention, engagement depth, conversion, and unit economics per user, including inference cost
Run competitive and technical scanning across the global AI companion and chat market, and convert what you learn into roadmap decisions