Shape the future of entertainment with Prime Video! Join our dynamic technology teams focused on delivering a premier digital video experience. As a Principal Product Manager Tech, you will spearhead the vision, strategy, and roadmap for personalized content discovery across international markets. This role offers end-to-end ownership of product, user experience, design, and technology, operating at the exciting intersection of machine learning, customer experience, and business strategy. You’ll lead impactful projects, collaborate with experts in data science and ML engineering, and drive the launch of ML-powered features at scale in a fast-paced, challenging, and varied environment.

Drive the roadmap and strategy for international personalization products, including recommendation systems and ML-based models. Translate business challenges into model requirements and clear algorithmic objectives, metrics, and guardrails. Define and analyze key metrics for recommendation quality, customer outcomes, and business impact. Lead experimentation strategies, including A/B testing, to validate improvements and inform roadmap decisions. Partner with stakeholders to understand needs and translate them into technical specifications. Communicate complex technical and algorithmic concepts effectively to senior leadership and cross-functional teams. Balance trade-offs between model complexity, latency, scalability, and business value for robust solutions.

We are seeking an experienced Principal Product Manager Tech with a proven track record in high-growth environments and delivering widely adopted technology products.

Key qualifications include: - 10+ years of technical product management experience, or 7+ years of PM experience with 3+ years of engineering experience. - 6+ years of end-to-end product delivery experience. - A Bachelor's degree is required, with a Master's degree preferred. - Demonstrated experience in feature delivery, product tradeoff analysis, and owning/driving roadmap strategy. - Experience managing consumer-facing products where ML significantly impacts user experience and engagement. - Proven ability to lead science and technology discussions and influence strategy for ML-driven products. - A background in applied science, engineering, or a quantitative field, with a strong understanding of the model lifecycle, data readiness, and evaluation frameworks. - Experience leading engineering discussions around technology decisions and product strategy is essential.