AI Product Manager
Success Matcher Recruitment
About the job AI Product Manager
About the Company
- Shape a New Medium: Work at the absolute bleeding edge of consumer social, the creator economy, and generative AI.
- True Product Autonomy: This is a PM-driven culture. You will own your OKRs and drive independent feature strategies-not just coordinate engineering tasks.
- AI-Native Workflow: AI isn't an afterthought here; it's woven into the fabric of the product and daily operations. You will use advanced AI tooling every single day to accelerate your own output, build quick prototypes, and analyze data.
- Direct Access & Impact: Flat organization reporting directly to the Chief of Staff and CEO, allowing you to move fast without layers of corporate bureaucracy.
- Own Major Product Surfaces: Drive end-to-end strategy and product OKRs across core pillars like user growth, interactive creation tools, virality/sharing, and user retention.
- Data-Driven Iteration: Constantly collect user feedback, formulate product hypotheses, and deep-dive into product analytics using tools like Amplitude and BigQuery to guide your roadmap.
- Technical Prototyping: Actively leverage AI coding tools (e.g., Claude Code, Cursor, Codex) to build rapid proof-of-concepts, run advanced SQL queries, and streamline your workflow.
- Cross-Functional Shipping: Collaborate deeply with world-class Machine Learning and Core Engineering teams to scope, build, and ship high-impact features at startup speed.
What We're Looking For
Core Experience
- Consumer-First Track Record: 3-7 years of PM experience specifically shipping high-engagement consumer mobile or social applications (B2B or enterprise-only backgrounds will not be a fit for this role).
- AI Feature Delivery: Proven experience building or shipping user-facing AI capabilities. You must deeply understand how LLMs, prompt engineering, and agentic workflows function in practice.
- Startup Scrappiness: Prior early-stage startup experience where you excelled in ambiguous environments, wore multiple hats, and moved from 0-to-1 quickly.
- AI Tooling Proficiency: You incorporate AI development assistants (like Cursor or Claude Code) into your daily workflow to independently build demos and run technical analyses.
- Analytical Independence: Strong SQL skills and experience tracking consumer loops via Amplitude or BigQuery. You must be comfortable querying and interpreting your own data.
- Bilingual Capability: Native or full professional fluency in Mandarin and English is strictly required. The engineering and product operations span across both US Pacific and China time zones.
- Education: A STEM degree (Computer Science, Data Science, or Engineering) is highly preferred to establish a strong technical baseline with the engineering team.
Vacancy posted 3 days ago
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