Remote AI & Data-Driven Product Owner

YO AI Labs

Miami (FL)

Remote

USD 90,000 - 130,000

Full time

4 days ago
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Job summary

YO AI Labs is seeking a strong Product Owner to collaborate with engineering, data, and business teams to turn complex problems into intuitive, high-quality products in a remote setting.

You will own the product lifecycle from discovery through launch and iteration, define KPIs and adoption metrics, prioritize features based on impact, and use customer feedback and product data to drive continuous improvement across fast-moving, ambiguous projects.

Qualifications

  • Experience as a Product Owner, Product Manager, or similar role.
  • Experience owning a live software product.
  • Strong product judgment and problem-solving skills.
  • Experience using KPIs, usage data, and customer insights.
  • Strong written communication and stakeholder management.
  • Comfortable working in fast-moving and ambiguous environments.

Responsibilities

  • Own the product lifecycle from discovery and scoping through launch and iteration.
  • Define product goals, KPIs, adoption metrics, and outcomes.
  • Prioritize features based on user needs, business impact, and technical constraints.
  • Turn ambiguous problems into focused, executable releases.
  • Use customer feedback and product data to improve the product.
  • Partner closely with engineering and cross-functional teams.
  • Move quickly while maintaining a high standard of product quality.

Skills

Product Ownership & Execution
Data-Driven Product Management
Scope Triage & Prioritization
Speed
Ambiguity & Async Execution

Job description

YO AI Labs is seeking a strong Product Owner to collaborate with engineering, data, and business teams to turn complex problems into intuitive, high-quality products in a remote setting.

You will own the product lifecycle from discovery through launch and iteration, define KPIs and adoption metrics, prioritize features based on impact, and use customer feedback and product data to drive continuous improvement across fast-moving, ambiguous projects.

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