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Paramount

Senior Director 2, Product Management

Paramount

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

Posted 9/18/2026full-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 defining and executing global merchandising strategies, leveraging data science methodologies and personalization systems to optimize content presentation and drive measurable business outcomes. Proven ability to lead high-performing teams and influence stakeholders across diverse functions in a fast-paced environment.

Highest-signal resume keywords
Global Merchandising StrategyData Science MethodologiesPersonalization SystemsTeam LeadershipContent Architecture

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills
Data SciencePredictive ModelingBehavioral AnalyticsContent CurationEnd-to-End Product ManagementSegmentationPerformance MeasurementA/B TestingMultivariate TestingContent Discovery
Soft Skills
Exceptional CommunicationInfluencing StakeholdersMentoring
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 content types, platforms, and markets
  • Translate business and content priorities into a merchandising roadmap aligned to quarterly and annual OKRs
  • Lead operationalization of merchandising at scale through end-to-end workflows supporting 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 on metadata quality, taxonomy alignment, and system integrity
  • Align Programming, Marketing, Product, AMLG, Design, and Business Insights teams
  • Lead, mentor, and scale a high-performing merchandising team

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; technical or quantitative discipline strongly preferred
  • 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
  • Preferred: MBA, M.S. in Data Science, Statistics, Computer Science, or related quantitative field, or equivalent senior-level experience
  • Experience leading merchandising or content discovery for a global streaming platform
  • Proficiency with Adobe Analytics, Tableau, Looker, Python, R, or SQL
  • Familiarity with data modeling, feature engineering, or co-developing ranking inputs alongside data science and ML teams
  • Experience operating across multiple international markets and time zones

Benefits

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