Sr. Principal Technical Product Management, Streaming Personalization and Recommendations

Paramount•New York, NY

4d•$204,000 - $305,000

About The Position

The Applied Machine Learning Group creates personalized streaming experiences that transform how audiences find, interact with, and enjoy content on Paramount+ and Pluto TV. We use audience intelligence and content knowledge with advanced machine learning to help users discover things in real-time and offer personalized interaction, creating new short-form and interactive viewing experiences. Our work directly connects millions of viewers to the stories they love while guiding meaningful business impact for Paramount Streaming. We are looking for a Senior Principal of Technical Product Management to lead product strategy and execution, defining the direction for personalization and recommendation systems in Paramount’s global streaming services. This leader will own the vision, roadmap, and measurable impact of AI-driven discovery experiences, spanning recommendations and ranking, real-time personalization, content intelligence and embeddings, experimentation platforms and decisioning, and short-form and emerging discovery surfaces. You will work closely with engineering, data science, design, analytics, and executive teams to ensure our personalization platforms enhance involvement, retention, and lifetime value for diverse global audiences. This is a highly strategic and technical management role responsible not only for what we build, but how personalization evolves as a core capability of Paramount Streaming.

Requirements

Deep knowledge of recommender systems: Collaborative, content-based, hybrid, and deep learning approaches; Ranking, retrieval, and real-time personalization
Strong understanding of: Reinforcement learning, bandits, and exploration strategies; Evaluation metrics, bias mitigation, and fairness in AI
Experience with: ML lifecycle from research to production; Real-time vs batch decisioning architectures; Data pipelines, feature stores, and model serving; MLOps, monitoring, and experimentation systems
Expert-level understanding of: A/B testing and statistical inference; Large-scale experimentation platforms; SQL, Python, and data visualization workflows
Ability to translate data into clear product direction
Proven track record defining AI-driven product strategy with measurable impact
Experience prioritizing investments across technical complexity, UX value, and revenue outcomes
Strong executive communication and strategic storytelling
Experience leading senior PMs or multi-team product areas
Ability to align engineering, science, design, and business leaders
Strong influence across matrixed global organizations
Demonstrated proficiency with coding tools (e.g., Python, SQL, IDEs) and platforms (e.g., GitHub) necessary for conducting technical analysis and proof-of-concept development
Familiarity with leveraging AI coding assistants and modern development tools (e.g., Claude Code, Gemini for developers) to accelerate rapid prototyping and technical investigation
Ability to independently create and demonstrate basic Proofs of Concept (POCs) for recommendation and personalization features
15+ years in product management, including 8+ years leading AI/ML or personalization products
People leadership of senior PMs or equivalent scope
Demonstrated success delivering large-scale recommender or discovery systems in: Streaming, consumer tech, marketplaces, or social platforms
Deep technical fluency across ML, data, and distributed systems
Hands-on technical fluency to the point of being able to develop basic Proofs of Concept (POCs) and prototypes for new product ideas, utilizing modern coding tools and AI development assistants
Strong business intuition tied to involvement, retention, and monetization
Passion for storytelling, entertainment, and the future of streaming

Responsibilities

Define and lead the multi-year personalization and recommendation strategy across Paramount+ and Pluto TV
Translate company-level goals into scalable AI/ML product investments with clear business impact
Find and create new methods for discovery, using real-time data and various techniques, including creating personalized short-form content
Represent personalization strategy at the executive and cross-company level
Lead, mentor, and grow a team of technical product managers
Establish operating rhythms, product standards, and roadmap governance across personalization
Encourage a culture that values data and experimentation, with all teams working collaboratively
Influence roadmaps across UX, growth, marketing, and content strategy
Own north-star metrics for personalization, including involvement, retention, and LTV
Ensure rigorous A/B testing, causal inference, and experimentation at scale
Balance short-term wins with long-term platform investment
Communicate impact clearly to executive stakeholders and business management
Stay at the forefront of recommender systems and deep learning, reinforcement learning and bandits, multimodal AI and generative discovery, and streaming UX and consumer behavior
Bring external perspective and best practices from leading consumer tech and media companies