Sr. Principal Technical Product Management, Streaming Personalization & Recommendations

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Sr. Principal, Technical Product Management Streaming Personalization & Recommendations

 

Division Overview

The Applied Machine Learning Group creates personalized streaming experiences. These experiences do more than just offer recommendations. They transform how audiences find, interact with, and enjoy content on Paramount+ and Pluto TV. We use audience intelligence and knowledge about content. With advanced machine learning, we help users discover things in real-time and offer personalized interaction. This creates 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. 

 

Role Overview

We are looking for a Senior Principal of Technical Product Management. This person will lead product strategy and execution. They will also define 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
• Short-form and emerging discovery surfaces

You will work closely with the engineering, data science, design, analytics, and executive teams. Your goal is 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.

 

Key Responsibilities

Strategy & Vision 

• 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. This involves using real-time data and various techniques. It also includes creating personalized short-form content. 
• Represent personalization strategy at the executive and cross-company level 

Technical Product Leadership

• Recommender systems and ranking architectures
• Real-time decisioning and reinforcement learning
• Experimentation and measurement platforms
• Content intelligence, embeddings, and metadata enrichment
• Partner with ML and platform engineering to ensure scalable, reliable, and cost-efficient AI systems
• Drive alignment between research innovation and production impact 

Organizational Leadership

• 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. This should include all teams working collaboratively
• Influence roadmaps across UX, growth, marketing, and content strategy Measurement & Business Impact
• 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

Industry Leadership 

1.Stay at the forefront of:

• Recommender systems and deep learning
• Reinforcement learning and bandits
• Multimodal AI and generative discovery
• Streaming UX and consumer behavior 

2. Bring external persp