Product Owner (AI)

TL;DR

Product Owner (AI): Leading the delivery and integration of AI and automation capabilities across a suite of SaaS products with an accent on translating business needs into technical requirements and ensuring AI-driven features deliver measurable value. Focus on coordinating with data science, engineering, and product teams to build scalable, high-impact AI solutions and managing the product backlog for AI feature delivery.

Location: Remote (Brazil)

hirify.global is a digital engineering and modernization partner for leading enterprises and digital native companies globally.

What you will do

• Drive the execution and delivery of AI-powered features, use cases, and platform capabilities across multiple SaaS products.
• Translate business and product team requirements into actionable technical stories and sprint deliverables.
• Collaborate with cross-functional squads to embed AI and automation into existing product workflows.
• Define and manage the product backlog for AI feature delivery, balancing immediate priorities and long-term scalability.
• Develop execution roadmaps, milestones, and release plans for model training, integration, and deployment.
• Track key performance indicators and oversee post-deployment validation for model accuracy and reliability.

Requirements

• Proven experience managing AI/ML-driven product initiatives within SaaS environments.
• Strong understanding of agile methodologies and end-to-end product lifecycle management.
• Exceptional communication skills with the ability to translate complex technical concepts into business terms.
• Data-driven mindset with the ability to define success metrics and measure adoption and performance.
• Experience coordinating multidisciplinary teams (engineering, data science, product, and UX).
• Must be based and work from home in Brazil.

Nice to have

• Experience with machine learning model lifecycle management—from concept to deployment.
• Familiarity with AI integration in enterprise SaaS systems, including NLP and predictive analytics.
• Understanding of MLOps, model monitoring, and continuous improvement practices.

Culture & Benefits

• Part of a global company with over 9,000 experts across 47+ offices and innovation labs.
• Focused on digital engineering and modernization for leading enterprises.
• Commitment to hiring professionals based solely on skills and qualifications, without discrimination.