Product Manager (AI, SaaS)

TL;DR

Product Manager (AI, SaaS): Leading the delivery and integration of AI and automation capabilities across SaaS products with an accent on translating business needs into technical requirements and ensuring measurable value. Focus on coordinating with data science, engineering, and product teams to build scalable, high-impact AI solutions that enhance user experience and business performance.

Location: Remote (Mexico)

Company

hirify.global is a digital engineering and modernization partner with over 9,000 experts in 47+ offices and innovation labs worldwide.

What you will do

• Drive the execution and delivery of AI-powered features and platform capabilities across multiple SaaS products.
• Translate business and product team requirements into actionable technical stories for data science and engineering teams.
• 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 with long-term scalability.
• Develop execution roadmaps, milestones, and release plans for model training, integration, and deployment.
• Track key performance indicators to ensure continuous improvement in delivery efficiency.
• Oversee post-deployment validation, ensuring model accuracy, reliability, and user experience alignment.

Requirements

• 7+ years in Product Management, Technical Program Management, or AI/ML Product Delivery.
• 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).

Culture & Benefits

• hirify.global hires professionals based solely on their skills and qualifications, without discrimination based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.