AI Product Manager

Arcade•San Francisco, CA

3d•$190,000 - $265,000•Remote

About The Position

Arcade helps teams create on-brand product demos, videos, and visuals in minutes, without designers, agencies, or long production cycles. AI is central to how we do this, from turning recordings or screenshots into polished demos, to generating videos and visuals that stay aligned with a company’s brand as their product evolves. As the AI Product Manager, you’ll own Arcade’s Creator Studio and AI roadmap. Your job is to help our customers seamlessly create content for launch moments that is on brand, aesthetic and converts.

Requirements

Customer-Centric Product Thinking: You have strong instincts for user problems and back them up with real customer exposure. You don’t build features just because they were requested — you synthesize, prioritize, and push back when needed.
Technical Fluency with AI Systems: You can credibly partner with engineers on AI-driven products. You understand concepts like pipelines, latency, cost tradeoffs, evaluation, and failure modes — and you’ve shipped and iterated on AI features before.
Strong Product Judgment & Taste: You have a point of view on quality. You can look at an AI-generated output and quickly identify what’s wrong, what matters most to users, and what’s worth fixing now versus later.
Data-Driven Decision Making: You frame problems with hypotheses and success metrics, use data to validate (or invalidate) assumptions, and avoid hiding behind “we didn’t have enough data.”
Execution & Organization: You turn ambiguity into progress. You communicate clearly in writing, manage priorities well, and ship without excessive process or chaos.
Strategic Perspective: You connect day-to-day product decisions to broader business goals and long-term leverage, balancing quick wins with durable quality improvements.

Nice To Haves

Experience shipping generative visual AI products where output quality is variable or probabilistic
Familiarity with brand consistency challenges in products (guidelines, compliance, style systems)
Experience working closely with go-to-market teams on launches, positioning, or customer education

Responsibilities

Own AI product initiatives end-to-end — from problem discovery and technical approach to launch, iteration, and long-term quality
Talk to customers constantly, turning messy qualitative feedback into clear product direction, priorities, and tradeoffs
Define and measure quality for AI systems, establishing what “good enough” means and how to improve it over time
Partner deeply with engineering and design on AI-first workflows, system constraints, and user experience
Use data to guide decisions, combining metrics, experiments, and qualitative insight to iterate under ambiguity
Create clarity and momentum, turning vague problems into concrete plans, shipped features, and learning loops
Make strong product judgments, balancing UX, technical feasibility, AI limitations, cost, and business impact