Sr. Principal Technical Product Management, Streaming Personalization and Recommendations

#WeAreParamount on a mission to unleash the power of content… you in?
We’ve got the brands, we’ve got the stars, we’ve got the power to achieve our mission to entertain the planet – now all we’re missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture.

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 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

Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment™. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME®.

ADDITIONAL INFORMATION

Hiring Salary Range: $204,000.00 - 305,000.00. 

The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.  The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable,  as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.  

What We Offer:

• Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here:
• 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:

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.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access as a result of your disability. You can request reasonable accommodations by calling View phone number on careers.paramount.com or by sending an email to View email address on careers.paramount.com. Only messages left for this purpose will be returned.