About the Role

As a hands-on technical Product Manager on our Machine Learning team, you will help transform AI/ML platform capabilities into practical solutions that deliver measurable business value. Working with the engineering team and business partners across Brand, Pearl Enterprise, and B2P, you will identify valuable business opportunities, shape product strategy, manage roadmaps, and drive the development and adoption of AI-powered solutions. Your work will span initiatives such as generative video, model benchmarking, data labeling, and our company-wide GenAI API, with a focus on driving revenue growth, reducing operating costs, and improving business outcomes. This role combines product discovery, data-driven decision-making, experimentation, building working AI prototypes, and close engineering collaboration, with a strong emphasis on curiosity, initiative, and a hands-on AI builder mindset.

What You’ll Do

• Identify and evaluate business opportunities where AI/ML capabilities can solve meaningful problems and deliver measurable value
• Partner with stakeholders across Brand, Pearl Enterprise, and B2P to understand business goals, challenges, and opportunities
• Define product strategy, priorities, and roadmaps for assigned ML platform capabilities, balancing new business initiatives with ongoing platform needs
• Lead product discovery, translate business problems into clear product requirements, and define solutions in collaboration with engineering teams
• Build and iterate on working AI prototypes to test product ideas, validate assumptions, and explore technical feasibility
• Collaborate closely with ML engineers and technical leads to navigate technical trade-offs and deliver effective solutions
• Drive the development, testing, launch, and continuous improvement of AI/ML-powered products and features
• Define and analyze product metrics to guide decision-making, measure adoption, and evaluate business impact
• Communicate product priorities, decisions, and progress effectively across technical and non-technical stakeholders

What We’re Looking For

• 3+ years of product management experience, preferably with technical products, platforms, or data-driven solutions
• Hands-on experience personally building and iterating on an AI-powered application, tool, or workflow, whether through professional work, personal projects, or open-source contributions
• Strong problem-solving skills, with the ability to understand business needs, identify opportunities, and translate them into practical product solutions
• Proven experience managing product roadmaps, prioritizing initiatives, and making informed trade-offs
• Technical fluency with APIs, data flows, and AI/ML systems, with the ability to connect tools or services in a prototype and discuss trade-offs around quality, reliability, latency, cost, and business impact
• Strong analytical skills and experience with A/B testing, experimentation, and data-driven product decision-making
• Experience collaborating with cross-functional stakeholders and translating business objectives into actionable product requirements
• A proactive, curious, and resourceful mindset, with a willingness to experiment, learn quickly, and navigate ambiguity
• Advanced English proficiency

Nice To Have

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