Remote Product Owner — AI & Data-Driven Growth

YO AI Labs; Town of Texas (WI); Remote; USD 90,000 - 150,000; Full time

Job summary

YO AI Labs is seeking a Product Owner to collaborate with engineering, data, and business teams to turn complex problems into intuitive, high-quality products. You will own the product lifecycle from discovery through launch and iteration, focusing on AI-enabled solutions.

You will define goals, KPIs, adoption metrics, and outcomes, prioritize features based on user needs and technical constraints, and work in a fast-moving, ambiguous environment with cross-functional teams.

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 Product Owner to collaborate with engineering, data, and business teams to turn complex problems into intuitive, high-quality products. You will own the product lifecycle from discovery through launch and iteration, focusing on AI-enabled solutions.

You will define goals, KPIs, adoption metrics, and outcomes, prioritize features based on user needs and technical constraints, and work in a fast-moving, ambiguous environment with cross-functional teams.