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Salary
$150k – $200k per year
Location
In office (San Francisco)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Oct 5, 2026.

Overview
Company
Impact
Profile match
Success Matcher is a global recruitment and talent advisory firm registered in Helena, Montana, that sources candidates for client companies, many of them venture-backed technology start-ups, across North America, Europe and Asia. It recruits for clients on permanent and on-demand terms, with most current searches in San Francisco and New York and others in London, Washington, Houston, Atlanta and Manila. Its vacancies, filled on behalf of clients, include account executives, sales engineers and business development representatives, AI, robotics and electrical engineers, data scientists, implementation managers and procurement managers, as well as internal recruiters.

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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