Sr Principal Technical Product Management Streaming Personalization and Recommen

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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.

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 perspective and best practices from leading consumer tech and media companies.

Required Expertise
Personalization & Machine Learning

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

AI/ML Platforms & Infrastructure

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

Data, Experimentation & Analytics

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

Product & Business Leadership

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

Leadership & Collaboration

Experience leading senior PMs or multi-team product areas

Ability to align engineering, science, design, and business leaders

Strong influence across matrixed global organizations

Technical Prototyping & Tools

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.

What You Bring

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

Why Join Us

Lead personalization for a global streaming portfolio reaching millions of viewers

Shape the next generation of AI-driven discovery in entertainment

Work with world-class ML researchers, engineers, and creatives

Influence company-level strategy and long-term platform evolution

Build and scale a high-impact technical product organization

What We Offer

Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits

Generous paid time off.

An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams.

Opportunities for both on-site and virtual engagement events.

Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.

Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount

Paramount is an equal opportunity employer (EOE) including disability/vet.

At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.

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Nearest Major Market: Manhattan

Nearest Secondary Market: New York City

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