Product Owner - Remote

YO AI Labs View all jobs
San Antonio, TX, United States
12 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Infrastructure Programming Tools Large Language Models Data Analytics

Job description

We are seeking a strong Product Owner to work with engineering, data, and business teams to turn complex problems into intuitive, high-quality products. Experience with AI, data, developer tools, or technology products is highly relevant. What You’ll Do

  • 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., Summary: We are seeking a highly experienced and strategic Business Analyst / Product Owner with a strong background in financial services Risk & Compliance, coupled with a deep …
  • 3 days ago, Software Guidance & Assistance, Inc., (SGA), is searching for a Technical Product Owner/Business Analyst for a contract assignment with one of our premier financial services client…
  • 5 days ago

Requirements

  • Product Ownership & Execution
  • Data-Driven Product Management
  • Scope Triage & Prioritization
  • Speed
  • Ambiguity & Async Execution, * 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.

Preferred

  • Engineering or strong technical background.
  • Experience with AI/ML, LLMs, agents, data infrastructure, or analytics.
  • Experience taking products from 01 and iterating based on real-world usage.

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