Senior Director of Product Management, Merchandising

Paramount

. Define and own the global merchandising and content presentation strategy across all content types, platforms, and markets .

Posted 9/19/2026full-timeBurbank • California • United StatesSenior💰 $203,200 - $304,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading global merchandising strategies and operationalizing content presentation across diverse platforms. Proven ability to leverage data science methodologies and personalization systems to enhance user engagement and drive measurable business outcomes.

Highest-signal resume keywords

Global Merchandising StrategyData Science MethodologiesTeam Leadership and DevelopmentContent Architecture and CurationA/B and Multivariate Testing

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Predictive ModelingBehavioral AnalyticsPersonalization SystemsContent Curation StrategyEnd-to-End Product OutcomesSegmentationData ModelingFeature EngineeringRanking Inputs Development

Soft Skills

Exceptional CommunicationInfluencing Stakeholders

Tools & Technologies

Adobe AnalyticsTableauLookerPythonRSQL

Certifications & Qualifications

Bachelor's DegreeMBAM.S. in Data ScienceM.S. in StatisticsM.S. in Computer Science

Industry Keywords

StreamingMediaEntertainmentConsumer-Facing Digital ProductsGlobal Platforms

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Define and own the global merchandising and content presentation strategy across all content types, platforms, and markets
Translate business and content priorities into a merchandising roadmap aligned to quarterly and annual OKRs
Lead the operationalization of merchandising at scale by establishing end-to-end workflows for global execution and local relevance
Partner with Product, Engineering, and Applied Machine Learning leads on feature ideation, user stories, acceptance criteria, and roadmap decisions
Oversee monitoring and reporting to surface insights and drive continuous optimization
Drive experimentation and readiness for A/B and multivariate testing
Partner with Content Services and Programming teams to ensure metadata quality, taxonomy alignment, and system integrity
Act as a senior connective leader across Programming, Marketing, Product, AMLG, Design, and Business Insights
Lead, mentor, and scale a high-performing merchandising team
Drive content discovery and engagement across Paramount+’s global streaming platform to improve interaction, retention, and long-term subscriber value

Requirements

What you’ll need

8+ years of experience leading consumer-facing digital products or experiences at scale, preferably in streaming, media, or entertainment environments
5+ years of experience managing and developing high-performing teams across product, merchandising, content, or data functions at a senior level
Bachelor’s degree required
Demonstrated expertise applying data science methodologies, including segmentation, predictive modeling, and behavioral analytics, to drive measurable business outcomes
Deep knowledge of personalization systems and recommendation algorithms
Experience defining content architecture and curation strategy at platform scale
Proven track record of owning end-to-end product outcomes, defining success metrics, measuring performance, and driving continuous improvement
Ability to influence and align executive, technical, and creative stakeholders in a fast-paced, matrixed environment
Experience operating at scale with large user bases, complex product ecosystems, or global platforms
Exceptional communication skills
MBA, M.S. in Data Science, Statistics, Computer Science, or related quantitative field, or equivalent experience at senior level preferred
Experience leading merchandising or content discovery for a global streaming platform preferred
Proficiency with Adobe Analytics, Tableau, Looker, Python, R, or SQL preferred
Familiarity with data modeling, feature engineering, or co-developing ranking inputs alongside data science and ML teams preferred
Experience operating across multiple international markets and time zones preferred

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
401(k) plan
Life insurance coverage
Disability benefits
Tuition assistance program
PTO
Bonus eligibility
Attractive compensation and comprehensive benefits packages
Generous paid time off
On-site and virtual engagement events
Opportunities to make meaningful connections and build a vibrant community