Note: The job is a remote job and is open to candidates in USA. Paramount is on a mission to unleash the power of content, and they are seeking a Senior Principal of Technical Product Management to lead product strategy and execution for personalization and recommendation systems in their global streaming services. This role involves defining the vision and roadmap for AI-driven discovery experiences, working closely with various teams to enhance user engagement and retention.
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. 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
- 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
- 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
- Stay at the forefront of:
- Recommender systems and deep learning
- Reinforcement learning and bandits
- Multimodal AI and generative discovery
- Streaming UX and consumer behavior
- Bring external perspective and best practices from leading consumer tech and media companies
Skills
- 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
- Deep knowledge of recommender systems: Collaborative, content-based, hybrid, and deep learning approaches
- 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
Benefits
- Medical
- Dental
- Vision
- 401(k) plan
- Life insurance coverage
- Disability benefits
- Tuition assistance program
- PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement
- This position is bonus eligible
- Generous paid time off
- 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
Company Overview
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