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Open nowFirst seen 4 days ago

AI Product Manager

Success Matcher210 open roles

Where
San Francisco, California, United States, Remote
Work mode
Remote
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Your applicationOpen nowAI Product ManagerSuccess Matcher · San Francisco, California, United States, Remote

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 4 days ago

The posting

About the Company

Our client is a hyper-growth, seed-stage startup building the "TikTok of interactive mini-apps." They are pioneering a new consumer social platform where users scroll through a personalized feed of playable experiences and create their own content entirely through natural language. Their proprietary AI-powered creation flow transforms simple text prompts into highly engaging, shareable, and interactive experiences.

Founded in 2023 and backed by world-class investors (including a16z, Khosla Ventures, Mayfield, and A*), the company has already scaled to over 1 Million Monthly Active Users (MAUs) with a nimble, high-caliber team of 30 people. This is a pure product-driven organization where PMs wield true autonomy over company strategy and direction.

Why You Should Join

  • 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.

What You'll Do

  • 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.

Technical & Language Skills

  • 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.
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