Responsibilities

Own key areas of Sekai’s consumer product experience, including creation, discovery, feed experience, sharing, retention, and creator/player engagement
Turn ambiguous user problems into clear product hypotheses, priorities, requirements, and execution plans
Analyze user behavior, funnels, retention, engagement, feedback, and product metrics to identify opportunities
Define success metrics for product launches and experiments
Work closely with engineering, design, data, growth, and operations to ship quickly
Use AI tools to accelerate research, product thinking, data analysis, prototyping, documentation, QA, and execution
Communicate clearly on priorities, blockers, trade-offs, decisions, and next steps

Qualifications

2+ years of product management or closely related product-building experience
Prior experience building consumer products is required
Strong product sense and user empathy, especially for mobile, social, creator, gaming, entertainment, or content-driven products
Strong data analytics skills; comfortable analyzing funnels, retention, engagement, cohorts, experiments, and user behavior
Comfortable using AI tools to write SQL, explore data, generate analysis, summarize insights, and make data-informed product decisions
Able to independently investigate a product problem using both qualitative feedback and quantitative data
Actively uses AI tools in daily work, such as Claude Code, Codex, Cursor, OpenClaw similar tools
Able to break down vague goals into clear product plans, metrics, trade-offs, and execution steps
Strong ownership and follow-through in a fast-moving environment

Experience with feed-based products, UGC platforms, gaming, social products, AI creation products, or recommendation systems
Experience improving activation, retention, engagement, sharing, creation success rate, or creator/player growth loops
Experience working in an early-stage startup or highly ambiguous product environment
Experience with analytics tools such as Amplitude, GA4, PostHog, BigQuery
Experience building AI workflows, prototypes, side projects, agents, internal tools, or automations
Ability to use AI tools to create an AI-native workflow that makes product work faster, sharper, and more scalable
Strong taste in consumer UX and interactive product experiences