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SaaS Product Manager (제품 관리자)

Role overview

Qualifications

  • Technical background: software engineering, AI/ML, or related field
  • Fluent Korean + English (reading docs, cross-functional communication)
  • Track record of shipping products or driving measurable outcomes
  • Generalist mindset—comfortable with ambiguity and multiple hats

Responsibilities

  • Drive customer acquisition and weekly active usage (WAU)—our north-star metrics
  • Work hands-on across product, engineering, and go-to-market
  • Collaborate across U.S., Korea, Japan (evening/night availability required for US-based candidates)
  • Translate customer insights into product decisions
  • Raise bar on product quality and execution

Key facts

Hard skills

Other skills

  • Communication
  • Collaboration
  • Adaptability

About the company

Success Matcher Recruitment, LLC logo

Success Matcher Recruitment, LLC

  • Staffing & Recruiting
  • 2–10
Unknown

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Job description

Opportunity to own growth of a no-code AI workflow platform at a Korean-founded startup (backed by Amazon, AMD, Hyundai, Kia; $280M raised). SF-headquartered with teams in U.S., Korea, and Japan.

We want a true generalist with: proven success, technical depth (software engineering or AI/ML), and drive to ship products.

Responsibilities

  • Drive customer acquisition and weekly active usage (WAU)—our north-star metrics
  • Work hands-on across product, engineering, and go-to-market
  • Collaborate across U.S., Korea, Japan (evening/night availability required for US-based candidates)
  • Translate customer insights into product decisions
  • Raise bar on product quality and execution

Work Hours: Flexible with significant Korean business hours overlap (evening/night for U.S.-based)

Must Have:

  • Technical background: software engineering, AI/ML, or related field
  • Fluent Korean + English (reading docs, cross-functional communication)
  • Track record of shipping products or driving measurable outcomes
  • Generalist mindset—comfortable with ambiguity and multiple hats

Nice to Have:

  • Experience with AI tools, no-code platforms, or Document AI
  • Startup experience
  • Ability to operate with limited resources

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