Product Manager

The role

As a hands-on technical Product Manager on the Machine Learning team, you will transform AI/ML platform capabilities into practical solutions. You will work with engineering teams and business partners to identify opportunities, shape strategy, and drive the development of AI-powered solutions.

What you will do

• Identify and evaluate business opportunities for AI/ML capabilities
• Partner with stakeholders across Brand, Pearl Enterprise, and B2P
• Define product strategy, priorities, and roadmaps for ML platform capabilities
• Lead product discovery and translate business problems into product requirements
• Build and iterate on working AI prototypes
• Collaborate with ML engineers and technical leads on technical trade-offs
• Drive development, testing, launch, and improvement of AI/ML products
• Define and analyze product metrics to guide decision-making
• Communicate product priorities and progress to stakeholders

Required qualifications

• 3+ years of product management experience
• Hands-on experience personally building and iterating on an AI-powered application, tool, or workflow
• Strong problem-solving skills
• Proven experience managing product roadmaps, prioritizing initiatives, and making informed trade-offs
• Technical fluency with APIs, data flows, and AI/ML systems
• Strong analytical skills and experience with A/B testing, experimentation, and data-driven product decision-making
• Experience collaborating with cross-functional stakeholders
• Proactive, curious, and resourceful mindset
• Advanced English proficiency

Nice to have

• Experience working with AI/ML products or machine learning platforms
• Background in software engineering or another technical discipline

Before you apply

• By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process

About the company

Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise. Since 2003, the network has connected millions of customers with licensed professionals across 196 countries.