Product Manager

Role overview

Turn machine-learning platform capabilities into practical products that create measurable business value. This hands-on product role combines opportunity discovery, roadmap ownership, experimentation, and close work with engineering and business stakeholders; initiatives may include generative video, model benchmarking, data labeling, and shared generative AI services.

Responsibilities

- Find and assess business problems where AI or machine learning can improve outcomes, revenue, or operating efficiency. - Work with stakeholders across business areas to understand goals, constraints, and opportunities. - Set product strategy, priorities, and roadmaps while balancing new initiatives with ongoing platform needs. - Translate problems into requirements and solution plans in partnership with engineering. - Build and refine working AI prototypes to test assumptions and explore feasibility. - Guide development, testing, launches, and ongoing improvements; define metrics and communicate progress and decisions.

Requirements

- At least three years of product management experience, preferably with technical products, platforms, or data-driven services. - Hands-on experience building and iterating on an AI-powered application, tool, or workflow. - Fluency with APIs, data flows, and AI/ML systems, including trade-offs involving quality, reliability, latency, cost, and business impact. - Experience managing roadmaps, prioritizing work, and making informed trade-offs. - Strong analytical skills, including experimentation or A/B testing and data-informed decisions. - Ability to turn business needs into practical requirements, collaborate across functions, and work through ambiguity. - Advanced English proficiency.

Nice to have

- Experience with AI/ML products or machine-learning platforms. - Software engineering or another technical background.